ScholarText The pluridisciplinary digital library : New Books http://www.scholartext.com <![CDATA[ Effective Legal Remedies in Criminal Justice System. European Perspective Ed. 1 ]]> http://www.scholartext.com/catalog/book/88950336 Publisher : Peter Lang

Effective Legal Remedy (ELR) is a legal concept of universal value. Its primary purpose is the protection of individual rights and freedoms against violation. It serves to safeguards the effectiveness of the enacted and applied law. The book presents and discusses current standard of Effective Legal Remedy concept in European Law as it is or may be referred to criminal justice system. The research is based on a thorough analysis of jurisprudence of European Court of Human Rights and Court of Justice European Union. Is also supplemented by an analysis of the ELR's implementation of the European Parliament's directives on individual rights in criminal matters. Offers a perspective on the use of the ELR to integrate the criminal justice system in Europe.

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2024-01-25T21:05:21.797
<![CDATA[ The Making of Accessible Audiovisual Translation Ed. 1 ]]> http://www.scholartext.com/catalog/book/88950335 Publisher : Peter Lang

Accessibility, understood as social integration, has been studied from many perspectives yet, due to our constantly changing environment, the concept is still in flux and needs to be reexamined.

Within Translation Studies, audiovisual translation (AVT) has expanded the concept of translation activity and its growth has been exponential. In recent decades, AVT and accessibility studies have developed side by side, and the intersection of both fields has been at the heart of academic research as well as of professional practice.

This collective volume showcases nine chapters written by specialists who approach the topic from different, yet complementary perspectives. All of them analyse the production of accessible translated material that requires adaptation to meet the needs and expectations of a multifarious audience, including older people, persons with sensory and cognitive disabilities, and those with limited digital knowledge.

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2024-01-25T21:05:20.967
<![CDATA[ The Narrative Power of Things : Consumer Culture in Contemporary Austrian Literature Ed. 1 ]]> http://www.scholartext.com/catalog/book/88950334 Publisher : Peter Lang

In the increasingly globalised consumer culture of the twenty-first century, consumer goods have long become more than mere commodities: they are markers of identity and tools of narration. Advertising, branding and other processes of consumer culture are ubiquitous and charge objects with meaning, impacting the way we perceive them and those who wear, use, showcase or discard them. This close link between consumer culture and the narration of identities – ranging from an individual to a national level – affects the construction of «national brands», as can be seen through contemporary writing.

With a focus on post-2000 Austrian literature, this book unveils how a skilful reading of consumer objects – both branded and non-branded – can enrich literary analysis. Introducing the concept of consumer literacy and applying it to Wolf Haas’ Das Wetter vor 15 Jahren, Thomas Glavinic’s Die Arbeit der Nacht, Arno Geiger’s Es geht uns gut and Raphaela Edelbauer’s Das flüssige Land, the study showcases the narrative power of consumer goods and the impact of Austrian literature and its writers on the idyllic national brand that stands in stark contrast to a troubled past.

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2024-01-25T21:05:20.100
<![CDATA[ Emotion and identity in second language learning Ed. 1 ]]> http://www.scholartext.com/catalog/book/88950333 Publisher : Peter Lang

This book brings together 18 theoretical and empirical chapters that analyse the role of emotion (expression, perception, processing) and identity (notions and representations, construction, conflict) in the process of learning a second language. Studies on the differences in emotionality between L1 and L2 suggest that in L2 there is an alteration that, in many cases, manifests itself as a decrease in the affective load, which can lead to a certain indifference to the emotional content transmitted and to a lesser involvement in communication. It is also known that emotion plays a fundamental role in the construction of identity in a second language in the shaping of the self that feels and communicates and in the ability to cope with the learning process.

Most of the studies have focused on the understanding of these issues in balanced bilingual speakers, but there is little evidence on their functioning in speakers with other degrees of proficiency (the case of second language learners) and on their role in the learning process. Better understanding this question is fundamental for the improvement of everything related to second language acquisition. We need new and innovative approaches that lead to more effective programs, increased interest in language learning and the consolidation of multilingual societies.

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2024-01-25T21:05:19.333
<![CDATA[ On Cyprian Norwid. Studies and Essays : Vol. 4. Contexts Ed. 1 ]]> http://www.scholartext.com/catalog/book/88950332 Publisher : Peter Lang

The book is the last volume of an extensive four-volume monograph devoted to the work of Cyprian Norwid (1821–1883), one of the most outstanding Polish authors. The impact of Norwid’s oeuvre does not fade, as he addresses fundamental and timeless issues, such as the moral and spiritual condition of man or his place in the world and history, and seeks to answer universal questions. The volume includes articles devoted to the analysis of selected sources and inspirations underlying Norwid’s work, as well as comparative texts tracing the manifestations of the commonality of thoughts and views connecting Norwid with the leading writers and artists of different periods. As a result, we received a multi-faceted image of an artist who, on the one hand, was strongly rooted in the tradition and modernity of Western European culture, and on the other, was characterized by great openness and sensitivity to otherness and cultural diversity.

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2024-01-25T21:05:18.473
<![CDATA[ A linguistic Insight into Legislative Drafting : Tradition and Change in the UK Legislation Ed. 1 ]]> http://www.scholartext.com/catalog/book/88950331 Publisher : Peter Lang

The main assumption proposed in this book is that legislative drafting represents an example of professional discourse, where the propositions of specialized information is translated into meanings, and such meanings are given as input to the rules and strategies of grammatical formulation. A relevant question for our understanding of modern legislative process is related to the effects of ‘context’ at different levels, within which legislative process takes place. By looking at those levels, the analysis conducted in the book demonstrates that it becomes possible to reach a deeper understanding of the professional groups taking part in the process, better assess the lexico-grammatical and textual features of its final product (i.e., normative texts), and suggest alternative linguistic and textual strategies aimed at making texts more accessible to potential readers and/or intended users.

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2024-01-25T21:05:17.690
<![CDATA[ Zone Theory : Science Fiction and Utopia in the Space of Possible Worlds Ed. 1 ]]> http://www.scholartext.com/catalog/book/88950329 Publisher : Peter Lang

«This book elaborates a structure for the general family of utopian genres with marvelous clarity, and with it established, Popov can pursue all kinds of further insights about the relationships between these texts. As the world’s situation becomes more desperate, and the need for a new political economy more obvious, this complicated canon is becoming increasingly important: no longer just a minor literary genre, but rather a crucial aid to thinking about our social systems. The better we understand utopian narrative strategies, the more fully we can put them to use, so Popov’s excellent study is timely and interesting.»

(Kim Stanley Robinson, author of the Mars Trilogy and The Ministry for the Future)

«Alexander Popov’s Zone Theory deftly guides us through the thickets of utopian theory and shows us why we should care, with fresh and convincing readings of a variety of science fictional texts. The writers explored here range from the usual suspects—Le Guin, Delany, Kim Stanley Robinson—to some not usually classed as utopian or dystopian, such as John Crowley and Brooke Bolander. Popov builds on the work of Tom Moylan and Fredric Jameson while adding important perspectives such as considering utopia as a hyperobject and using utopian theory to read the incongruous, unresolvable Zones of science fiction such as the Strugatskys’ Roadside Picnic and Jeff VanderMeer’s Southern Reach trilogy. I am happy to do as Popov suggests: to read utopias not only as ongoing processes rather than finished blueprints, as Moylan has taught us, but also to see them as a way of learning about the world. Utopia, says Popov, is "an apparatus for registering difference at the level of societal organization" and thus is always open to new discoveries and new antinomies: anti-utopias lead to anti-anti-utopias and so on without end.»

(Brian Attebery, Emeritus Professor of English and Philosophy at Idaho State University, author of Stories about Stories: Fantasy & the Remaking of Myth)

Zone Theory reinterprets utopia as an unceasing dialectic between totality and novelty which keeps on discovering new subjectivities and genres. Through close readings within a wide corpus of SF works, it meditates on utopian forms such as critical utopia, critical dystopia, heterotopia, atopia and ecotopia, ultimately tying them to the notion of anti-anti-utopia: a form of forms capacious enough to house a permanently open multiplicity of beings.

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2024-01-25T21:05:16.367
<![CDATA[ Neural Network Computer Vision with OpenCV 5 : Build computer vision solutions using Python and DNN module (English Edition) ]]> http://www.scholartext.com/catalog/book/88950294 Publisher : BPB Publications

Unlocking computer vision with Python and OpenCV

Key Features

? Practical solutions to image processing challenges.

? Detect and classify objects in images.

? Recognize faces and text from images using character detection and recognition models.

Description

Neural Network Computer Vision with OpenCV equips you with professional skills and knowledge to build intelligent vision systems using OpenCV. It creates a sequential pathway for understanding morphological operations, edge and corner detection, object localization, image classification, segmentation, and advanced applications like face detection and recognition, and optical character recognition.

This book offers a practical roadmap to explore the nuances of image processing with detailed discussions on each topic, supported by hands-on Python code examples. The readers will learn the basics of neural networks, deep learning and CNNs by using deep learning frameworks like Keras, Tensorflow, PyTorch, Caffe etc. They will be able to utilize OpenCV DNN module to classify images by using models like Inception V3, Resnet 101, Mobilenet V2. Moreover, the book will help to successfully Implement object detection using YOLOv3, SSD and R-CNN models. The character detection and recognition models are also covered in depth with code examples.

You will gain a deeper understanding of how these techniques impact real-world scenarios and learn to harness the potential of Python and OpenCV to solve complex problems. Whether you are building intelligent systems, automating processes, or working on image-related projects, this book equips you with the skills to revolutionize your approach to visual data.

What you will learn

? Acquire expertise in image manipulation techniques.

? Apply knowledge to practical scenarios in computer vision.

? Implement robust systems for face detection and recognition.

? Enhance projects with accurate object localization capabilities.

? Extract text information from images effectively.

Who this book is for

This book is designed for those with basic Python skills, from beginners to intermediate-level readers. Whether you are building intelligent robots that perceive their surroundings or crafting advanced vision systems for object detection and image analysis, this book will equip you with the tools and skills to push the boundaries of AI perception.

Table of Contents

1. Introduction to Computer Vision

2. Basics of Imaging

3. Challenges in Computer Vision

4. Classical Solutions

5. Deep Learning and CNNs

6. OpenCV DNN Module

7. Modern Solutions for Image Classification

8. Modern Solutions for Object Detection

9. Faces and Text

10. Running the Code

11. End-to-end Demo

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2024-01-23T10:04:55.557
<![CDATA[ Mastering Cloud Storage : Navigating cloud solutions, data security, and cost optimization for seamless digital transformation (English Edition) ]]> http://www.scholartext.com/catalog/book/88950293 Publisher : BPB Publications

Unlocking the Cloud's Infinite Possibilities

Key Features

? Design scalable cloud storage solutions and optimize costs.

? Integrate cloud storage seamlessly into your applications.

? Apply theoretical knowledge to real-world scenarios through hands-on case studies.

Description

In today's data-driven world, cloud storage has emerged as an indispensable tool for businesses and individuals alike. With its ability to store and manage vast amounts of data seamlessly, cloud storage has revolutionized the way we handle information. However, navigating the complexities of cloud storage can be a daunting task. This is where this book steps in.

Commence on a comprehensive journey through cloud computing fundamentals, exploring evolution, service models, and deployment strategies. Uncover diverse cloud storage technologies, including object, block, and file storage, and look into Amazon S3, Azure Blob Storage, and Google Cloud Storage. Learn to configure storage effectively, implement scalable solutions, and seamlessly integrate with applications. Master disaster recovery, data migration, and hybrid cloud architectures for optimal resource utilization. Perfect the art of cost optimization and performance monitoring, maximizing your cloud storage investment.

Mastering Cloud Storage is your ultimate guide to achieving operational excellence, improving system reliability, and enhancing your career in cloud engineering and DevOps.

What you will learn

? Master Amazon S3 and Azure Blob Storage.

? Implement robust data security and encryption.

? Apply DevOps and DevSecOps in cloud storage.

? Optimize for high availability and reliability.

? Navigate industry-specific regulations and compliance.

Who this book is for

Whether you are a seasoned IT professional, a DevOps engineer, a data scientist, system administrators, or a cloud architect, this systematic guide empowers you to unlock the full potential of cloud storage.

Table of Contents

1. Introduction to Cloud Computing

2. Understanding Cloud Storage Technologies

3. Exploring Cloud Storage Providers

4. Data Encryption and Security Best Practices

5. Data Redundancy and High Availability

6. Disaster Recovery in the Cloud

7. Configuring Cloud Storage Services

8. Scalable Cloud Storage Solutions

9. Integrating Cloud Storage into Applications

10. Data Migration Techniques

11. Hybrid Cloud Architectures

12. Cost Optimization and Performance Monitoring

13. Industry Trends and Future of Cloud Storage

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2024-01-23T10:04:55.163
<![CDATA[ Red Hat Ansible Automation Platform : Modernize your organization with automation and Infrastructure as Code (English Edition) ]]> http://www.scholartext.com/catalog/book/88950292 Publisher : BPB Publications

Get enterprise framework for building and operating IT automation at scale, from networking to operations.

Key Features

? Efficient application deployment using Ansible playbooks, content creation, and containerized workflows.

? Use Hybrid cloud environments with Kubernetes for scalable containerized applications.

? Get Architectural insight into Ansible Automation Platform.

? Dashboard management with Ansible Tower dashboard for efficient platform administration.

Description

This book equips you to revolutionize operations across Cloud Infrastructure, Applications, Networks, Containers, and Security. From foundational concepts to advanced strategies, the readers will navigate Ansible Automation intricacies, covering architecture, syntax, and installation scenarios, including single-machine setups and high-availability clusters. Authentication mastery encompasses Role-Based Access Controls (RBAC) and external authentication, ensuring a secure user management foundation.

System administration intricacies, such as metrics, logging, performance monitoring, and backup strategies, are explored, providing readers with holistic insights. Application deployment takes center stage in this book, emphasizing creating Ansible playbooks and content, automating deployment processes, and managing container applications. The book explores hybrid cloud environments, integrating Ansible with Kubernetes to manage applications across major cloud providers.

The concluding chapter encapsulates key learnings, offering a reflective mastery of the Ansible Automation Platform. This guide provides practical skills for designing, deploying, and orchestrating end-to-end automation.

What you will learn

? Automate security patching for enhanced system uptime and resilience.

? Orchestrate multi-cloud deployments with unified playbooks for consistent and efficient control.

? Apply RBAC for secure collaboration and auditable workflows.

? Integrate metrics and logs for actionable insights and optimized automation workflows.

? Implement granular user roles and permissions for access control and team collaboration.

Who this book is for

This book is for IT operations teams, Automation engineers, DevOps engineers, Sysadmins, Software development teams, and cloud management teams with prior knowledge of the basics of Ansible.

Table of Contents

1. Getting Started with the Ansible Automation Platform

2. Ansible Automation Platform Architecture

3. Platform Installation Scenarios

4. First Steps

5. Settings and Authentication

6. IT Operations

7. App Deployments

8. Hybrid Cloud and Kubernetes

9. Automate IT Processes

10. Wrap-Up

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2024-01-23T10:04:54.603
<![CDATA[ Programming for Problem-solving with C : Formulating algorithms for complex problems (English Edition) ]]> http://www.scholartext.com/catalog/book/88950291 Publisher : BPB Publications

Key Features

? Comprehensive coverage of C programming fundamentals.

? Clear explanations and engaging examples given in each chapter.

? Designed to help you develop a problem-solving mindset.

Description

This book equips you with the knowledge of fundamentals of C, a powerful and versatile programming language. It extensively explores the building blocks of computers, software, and algorithms, helping the readers gain a comprehensive understanding of how data is manipulated and solutions are designed.

The readers will learn more about fundamental data types like integers, floats, and characters, master operators and expressions for manipulating data efficiently. We will explore control flow statements like if and for to write structured and logical code, and unlock the power of loops for repetitive tasks. As the book progresses, we will conquer advanced topics like recursion, user-defined functions, dynamic memory allocation, expanding coding skills and tackling complex problems with ease.

This book guarantees knowledge beyond merely learning concept, helping you to acquire expertise required for future job roles.

What you will learn

? Understand file handling in C for practical application.

? Analyze time and space complexities for optimized algorithm design.

? Navigate decision-making statements and loop structures seamlessly.

? Demonstrate proficiency in array, string, and pointer manipulation.

Who this book is for

This book is meant for students in fields like, computer science or data analysis, seeking a strong C foundation. It can also be utilised by professional engineers, scientists, or developers looking to boost their analytical skills with C.

Table of Contents

1. The Computer

2. The CPU and the Memory

3. The Computer Software

4. The Number System

5. Problem-solving Techniques

6. Fundamentals of C

7. Operators and Expressions

8. Decision-making Statements

9. Loop

10. Array

11. String

12. Function

13. Recursion

14. Structure and Union

15. Searching and Sorting

16. Pointers

17. The Console Input-output Functions

18. Preprocessor

19. File Handling in C

20. Time and Space Complexity

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2024-01-23T10:04:54.267
<![CDATA[ Big Data and Hadoop : Fundamentals, tools, and techniques for data-driven success (English Edition) Ed. 2 ]]> http://www.scholartext.com/catalog/book/88950289 Publisher : BPB Publications

Key Features

? Learn Apache Hadoop ecosystem and its core components.

? Discover advanced tools like Spark for real-time data processing.

? Master the fundamentals of Big Data and its applications.

Description

In today's data-driven world, harnessing the power of big data is no longer a luxury, but a necessity. This comprehensive guide, "Big Data and Hadoop," dives deep into the world of big data and equips you with the knowledge and skills you need to conquer even the most complex data landscapes.

Start with the fundamentals of big data, exploring its growing significance and diverse applications. You'll look into the heart of the Apache Hadoop ecosystem, mastering its core components like HDFS and MapReduce. We'll demystify NoSQL databases, introducing you to HBase and Cassandra as powerful alternatives to traditional databases.

Clarify the details of MapReduce programming with practical examples, and discover the power of PigLatin and HiveQL for efficient data analysis. Explore advanced tools like Spark, unlocking its potential for real-time data processing and analytics. Rounding out your knowledge, the book delves into practical applications, exploring real-world scenarios and research-based insights. By the end of this book, you'll emerge as a confident big data explorer, equipped to tackle any data challenge with expertise and precision.

What you will learn

? Gain a solid grasp of the fundamental concepts of big data.

? Acquire a comprehensive understanding of HDFS, MapReduce, YARN, Spark, and related components.

? Learn how to set up and configure Hadoop clusters to create scalable and reliable data processing environments.

? Develop the expertise to design, code, and execute MapReduce jobs to process and analyze vast datasets efficiently.

? Learn how to use Hadoop and related tools to perform advanced data analytics.

Who this book is for

Whether you are a beginner or have some experience with big data. This book is for aspiring big data professionals, including data analysts, software developers, IT professionals, and students in computer science and related fields.

Table of Contents

1. Big Data Introduction and Demand

2. NoSQL Data Management

3. MapReduce Technique

4. Basics of Hadoop

5. Hadoop Installation

6. MapReduce Applications

7. Hadoop Related Tools-I: HBase and Cassandra

8. Hadoop Related Tools-II: PigLatin and HiveQL

9. Practical and Research-based Topics

10. Spark

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2024-01-23T10:04:53.797
<![CDATA[ Rapid SaaS Application Development Using Salesforce : Build scalable SaaS applications using the Salesforce platform (English Edition) ]]> http://www.scholartext.com/catalog/book/88950288 Publisher : BPB Publications

Learn how to rapidly build and document scalable Salesforce applications

Key Features

? Practice the Salesforce rapid application development lifecycle.

? Gain crucial application development skills and knowledge.

? Build a real-world Phonebook application to master the development cycle.

Description

This book is a practical guide for building secure, scalable, and performant SaaS applications on top of the Salesforce platform. Learn how to dissect a business problem and extract non-communicated requirements. Gain practical knowledge on designing and documenting a Salesforce application using the right mix of low-code development tools such as flows, validation rules, and formula fields and full-code using APEX, Lightning Components, and off-platform modules.

Start with the fundamental concepts of the Salesforce platform and its SaaS application development capabilities. Learn key building blocks like objects, fields, and security models, explore powerful tools like App Builder and Flow Builder, and master the principles of the Salesforce app development lifecycle.

The book will use real-life business scenarios to practically teach you foundational information and skills that you can use to develop enterprise-ready applications. You will gain critical knowledge and skills to put you on track for your journey toward the prestigious Salesforce Certified Technical Architect credentials.

What you will learn

? Develop scalable, extendable, and performant Salesforce applications.

? Build a fully functional Phonebook application and experience the entire development cycle.

? Design and document a Salesforce application efficiently and effectively using standard artifacts.

? Test and release your Salesforce application.

? Build a lively feedback loop with your application’s end users.

Who this book is for

This book is for citizen developers, business analysts, SaaS application developers, salesforce developers and architects, and anyone interested in developing SaaS applications to solve enterprise business problems or to become Salesforce Certified Technical Architects.

Table of Contents

1. Introduction to the Salesforce Platform

2. Deep Dive into Key Building Blocks and Tools

3. Develop a Sample Salesforce Application: PbP Phonebook

4. Learn the Salesforce Application Development Lifecycle

5. Understand the Supporting Tools and Artifacts

6. Create a Sample Application: Define and Refine the Requirements

7. Create a Sample Application: Solve and Build the Application - Part 1

8. Create a Sample Application: Solve and Build the Application - Part 2

9. Create a Sample Application: Test and Deploy

10. Tips and Tricks and the Way Forward

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2024-01-23T10:04:53.340
<![CDATA[ Multi-Cloud Automation with Ansible : Automate, orchestrate, and scale in a multi-cloud world (English Edition) ]]> http://www.scholartext.com/catalog/book/88950287 Publisher : BPB Publications

One tool, endless possibilities: Multi-cloud mastery with Ansible

Key Features

? Practical insights for efficient Ansible Tower use.

? Advanced use cases for network to edge computing.

? Multi-cloud infrastructure automation strategies.

Description

Across the modern IT landscape, managing infrastructure across diverse cloud platforms has become a formidable task. Ansible, a robust open-source automation tool, emerges as the ultimate weapon in your arsenal, unlocking efficiency and control over your multi-cloud environment, such as IBM, AWS, GCP, and Azure.

Indulge in an in-depth venture through Ansible's fundamentals, architecture, and applications in multi-cloud environments with use cases. Gain a deep understanding of core concepts, such as playbooks, tasks, and roles, and learn to set up Ansible seamlessly across diverse operating systems and cloud providers. Master the creation of efficient playbooks to automate infrastructure provisioning, application deployment, and configuration management in multi-cloud scenarios. Dig into advanced areas like network automation, security automation, and edge computing, acquiring the skills to automate intricate tasks effortlessly.

By the end of this book, you will emerge as a confident Ansible expert, capable of automating your multi-cloud operations with precision and efficiency. You will gain the skills to reduce manual effort, minimize errors, and achieve unprecedented agility in your cloud deployments.

What you will learn

? Write efficient Ansible Playbooks for automated system configurations.

? Deploy and manage cloud infrastructure across major providers seamlessly.

? Integrate Ansible with Kubernetes for container orchestration automation.

? Implement Ansible Automation Platform and Tower for enterprise scaling.

? Apply Ansible techniques to automate AI and deep learning pipelines.

Who this book is for

This book is tailored for IT professionals, including system administrators, DevOps engineers, cloud architects, cloud security professionals, automation engineers, and network specialists seeking to leverage Ansible for automation.

Table of Contents

1. Ansible in Multi-Cloud Environment

2. Ansible Setup Across OS and Cloud

3. Writing Tasks, Plays, and Playbooks

4. Infrastructure Automation Using Red Hat Ansible

5. Network Automation Using Ansible

6. App Automation Using Ansible

7. Security Automation Using Red Hat Ansible

8. Red Hat Ansible Automation for Edge Computing

9. Red Hat Ansible for Kubernetes and OpenShift Clusters

10. Using Ansible Automation Platform in Multi-Cloud

11. Red Hat Ansible for Deep Learning

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2024-01-23T10:04:53.127
<![CDATA[ Mastering MLOps Architecture: From Code to Deployment : Manage the production cycle of continual learning ML models with MLOps (English Edition) ]]> http://www.scholartext.com/catalog/book/88950285 Publisher : BPB Publications

Harness the power of MLOps for managing real time machine learning project cycle

Key Features

? Comprehensive coverage of MLOps concepts, architecture, tools and techniques.

? Practical focus on building end-to-end ML Systems for Continual Learning with MLOps.

? Actionable insights on CI/CD, monitoring, continual model training and automated retraining.

Description

MLOps, a combination of DevOps, data engineering, and machine learning, is crucial for delivering high-quality machine learning results due to the dynamic nature of machine learning data. This book delves into MLOps, covering its core concepts, components, and architecture, demonstrating how MLOps fosters robust and continuously improving machine learning systems.

By covering the end-to-end machine learning pipeline from data to deployment, the book helps readers implement MLOps workflows. It discusses techniques like feature engineering, model development, A/B testing, and canary deployments. The book equips readers with knowledge of MLOps tools and infrastructure for tasks like model tracking, model governance, metadata management, and pipeline orchestration. Monitoring and maintenance processes to detect model degradation are covered in depth. Readers can gain skills to build efficient CI/CD pipelines, deploy models faster, and make their ML systems more reliable, robust and production-ready.

Overall, the book is an indispensable guide to MLOps and its applications for delivering business value through continuous machine learning and AI.

What you will learn

? Architect robust MLOps infrastructure with components like feature stores.

? Leverage MLOps tools like model registries, metadata stores, pipelines.

? Build CI/CD workflows to deploy models faster and continually.

? Monitor and maintain models in production to detect degradation.

? Create automated workflows for retraining and updating models in production.

Who this book is for

Machine learning specialists, data scientists, DevOps professionals, software development teams, and all those who want to adopt the DevOps approach in their agile machine learning experiments and applications. Prior knowledge of machine learning and Python programming is desired.

Table of Contents

1. Getting Started with MLOps

2. MLOps Architecture and Components

3. MLOps Infrastructure and Tools

4. What are Machine Learning Systems?

5. Data Preparation and Model Development

6. Model Deployment and Serving

7. Continuous Delivery of Machine Learning Models

8. Continual Learning

9. Continuous Monitoring, Logging, and Maintenance

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2024-01-23T10:04:52.797
<![CDATA[ Cyber Forensics Up and Running : A hands-on guide to digital forensics tools and technique (English Edition) ]]> http://www.scholartext.com/catalog/book/88950284 Publisher : BPB Publications

Learn using Cloud data technologies for improving data analytics and decision-making capabilities for your organization

Key Features

? Comprehensive coverage of all digital forensics concepts.

? Real-world case studies and examples to illustrate techniques.

? Step-by-step instructions for setting up and using essential forensic tools.

? In-depth exploration of volatile and non-volatile data analysis.

Description

Digital forensics is the art and science of extracting the hidden truth and this book is your hands-on companion, bringing the world of digital forensics to life.

Starting with the core principles of digital forensics, the book explores the significance of various case types, the interconnectedness of the field with cybersecurity, and the ever-expanding digital world's challenges. As you progress, you will explore data acquisition, image formats, digital evidence preservation, file carving, metadata extraction, and the practical use of essential forensic tools like HxD, The Sleuth Kit, Autopsy, Volatility, and PowerForensics. The book offers step-by-step instructions, real-world case studies, and practical examples, ensuring that beginners can confidently set up and use forensic tools. Experienced professionals, on the other hand, will find advanced insights into memory analysis, network forensics, anti-forensic techniques, and more.

This book empowers you to become a digital detective, capable of uncovering data secrets, investigating networks, exploring volatile and non-volatile evidence, and understanding the intricacies of modern browsers and emails.

What you will learn

? Learn how to set up and use digital forensic tools, including virtual environments.

? Learn about live forensics, incident response, and timeline examination.

? In-depth exploration of Windows Registry and USBs.

? Network forensics, PCAPs, and malware scenarios.

? Memory forensics, malware detection, and file carving.

? Advance tools like PowerForensics and Autopsy.

Who this book is for

Whether you are a tech-savvy detective, a curious student, or a seasoned cybersecurity pro seeking to amplify your skillset. Network admins, law enforcement officers, incident responders, aspiring analysts, and even legal professionals will find invaluable tools and techniques within these pages.

Table of Contents

1. Introduction to Essential Concepts of Digital Forensics

2. Digital Forensics Lab Setup

3. Data Collection: Volatile and Non-Volatile

4. Forensics Analysis: Live Response

5. File System and Log Analysis

6. Windows Registry and Artifacts

7. Network Data Collection and Analysis

8. Memory Forensics: Techniques and Tools

9. Browser and Email Forensics

10. Advanced Forensics Tools, Commands and Methods

11. Anti-Digital Forensics Techniques and Methods

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2024-01-23T10:04:52.670
<![CDATA[ Python GUI with PyQt : Learn to build modern and stunning GUIs in Python with PyQt5 and Qt Designer (English Edition) ]]> http://www.scholartext.com/catalog/book/88950281 Publisher : BPB Publications

Master the art of GUI development in Python with this comprehensive guide

Key Features

? Learn to develop different GUI widgets using PyQt5 library and Qt Designer with solved examples.

? Get creative and elegant explanations of various concepts with lucid code explanations in Python.

? Discover never-before-seen concepts along with proper justifying comments while programming.

Description

Python GUI with PyQt is an invaluable guide for both novice and experienced programmers who want to master the art of creating visually appealing and interactive graphical user interfaces (GUIs) for Python applications using the PyQt5 library and the Qt Designer visual layout tool. It covers all the essential concepts of PyQt5 GUI programming in a comprehensive and beginner-friendly manner.

The book starts with the basics of GUI programming, such as creating windows, using layout managers, and managing signals and events. It then covers more advanced topics, such as creating dialog and message boxes, using container, input, item views, and display widgets. Then it teaches you to connect signals to slots, the cornerstone of event-driven programming, and discover how to utilize Qt Designer, a visual GUI design tool, to streamline the development process. As you progress, delve into the realm of containers, learning to organize and manage widgets with finesse. Explore the vast array of input widgets, enabling users to seamlessly provide data. You finally conclude your journey by mastering the art of display widgets, empowering you to present information with clarity and elegance. The book is also highly interactive, with practical examples and exercises at the end of each chapter. These help you solidify your understanding of the concepts and gain practical experience in PyQt5 GUI programming.

Overall, this is an excellent book for anyone who wants to learn how to create GUI applications in Python using PyQt5 and Qt Designer.

What you will learn

? Practice your code in various IDEs, such as VS Code and Jupyter Notebook.

? Write comments against your code to make it more readable and maintainable.

? Discover different types of widgets available in Qt Designer, such as buttons, labels, text boxes, check boxes, radio buttons, drop-down menus, item views, and container widgets.

? Explore the different layout management options available in PyQt5, such as vertical, horizontal, form, and grid layouts.

? Learn about the unique signals and slots mechanism in PyQt5 for handling events.

? Create dialogs and message boxes using the PyQt5 library. User interaction approaches are covered in detail.

Who this book is for

This book is for students of all levels, whether you're a novice programmer seeking to build your first GUI application or an experienced developer seeking to expand your skillset. From middle school to postgraduate, in any branch of engineering, science, or programming, this book will serve as your indispensable companion in elevating your Python programming prowess.

Table of Contents

1. Introduction to PyQt5 and Qt Designer Tool

2. Getting Insights of Layout Management

3. Getting Insights of Events, Signals and Slots

4. Getting Insights of Button Widgets in Qt Designer

5. Getting Insights of Item Views in Qt Designer

6. Getting Insights of Item Widgets (Item-Based) in Qt Designer

7. Getting Insights of Containers in Qt Designer

8. Getting Insights of Input Widgets in Qt Designer

9. Getting Insights of Display Widgets in Qt Designer

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2024-01-23T10:04:52.140
<![CDATA[ Data Analytics with SAS : Explore your data and get actionable insights with the power of SAS (English Edition) ]]> http://www.scholartext.com/catalog/book/88950280 Publisher : BPB Publications

Analytics made easy with Base and Advance SAS

Key Features

? Understand the concepts of analytics.

? Learn SAS tools and its components used for data analytics.

? Learn concepts and functions for data manipulation.

? Explore data exploration concepts and functions.

? Learn the power of SQL with SAS for data analytics.

? Learn how to visualize data with SAS and discover insights from it.

? Includes the examples with codes and output for understanding key functions.

Description

Data Analytics with SAS is an attempt to learn concepts of Data Analytics with SAS tool. Starting with the fundamentals, the book introduces you to SAS by explaining its architecture, components, libraries and graphical user interface. It then delves into abilities like manipulating and exploring data, where both basic and advanced techniques are covered.

The book outlines concepts and functions for data manipulation. Data manipulation is important as without it, we cannot define data in a proper format. Moreover, data without a proper format and features cannot be used for further analysis.

The book outlines concepts and functions of data exploration. Data exploration or Exploratory Data Analysis (EDA) is the first step in data analysis. It is a very critical step as it helps us get insights from data to understand past behaviors. To facilitate a practical learning experience with SAS, the book offers examples and code snippets.

In conclusion, this comprehensive guidebook serves as a valuable resource for individuals interested in data analytics using SAS. It caters to both novices and seasoned users alike while preparing them for roles, within the field of Data Analytics.

What you will learn

? Get familiar with the functions for insightful data exploration.

? Shape and transform data using data manipulation functions.

? Improve efficiency of SAS Operations by combining power of SQL with SAS.

? Learn how to automate data analysis tasks and share insights across your team with SAS macros.

? Learn how to visualize your data with impact using a variety of data visualization functions.

Who this book is for

This book is meant for Data Analysts, Data Engineers, Business Analysts, Data Scientists, Business Intelligence Experts, Data journalists, Market researchers, Financial analysts, Risk analysts and anyone who wants to pursue a career in Analytics.

Table of Contents

1. Introduction to SAS Programming

2. Overview of SAS Components

3. Data Manipulation

4. Advanced Data Manipulation

5. SAS Functions and Options

6. Data Exploration-I

7. Data Exploration-II

8. Importing Raw Data Files

9. Advanced SAS: Proc SQL

10. Macro Programming for Faster Data Manipulation

11. Data Visualization

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2024-01-23T10:04:51.937
<![CDATA[ Artificial Intelligence Ethics and International Law : Practical approaches to AI governance (English Edition) Ed. 2 ]]> http://www.scholartext.com/catalog/book/88950279 Publisher : BPB Publications

Unveiling the future: Navigating AI's Intricate Intersection with International Law – A Journey Beyond Hype and Governance

Key Features

? Comprehensive overview of AI ethics and international law.

? Exploration of pragmatic approaches to AI governance.

? Navigation of global legal dynamics.

? Soft law recommendations for responsible AI development.

Description

Dive into the dynamic realm of AI governance with this groundbreaking book. Offering cutting-edge insights, it explores the intricate intersection of artificial intelligence and international law. Readers gain invaluable perspectives on navigating the evolving AI landscape, understanding global legal dynamics, and delving into the nuances of responsible AI governance. Packed with pragmatic approaches, the book is an essential guide for professionals, policymakers, and scholars seeking a comprehensive understanding of the multifaceted challenges and opportunities presented by AI in the global legal arena.

The book begins by examining the fundamental concepts of AI ethics and its recognition within international law. It then delves into the challenges of governing AI in a rapidly evolving technological landscape, highlighting the need for pragmatic and flexible approaches to AI regulation. Subsequent chapters explore the diverse perspectives on AI classification and recognition, from legal visibility frameworks to the ISAIL Classifications of Artificial Intelligence. The book also examines the far-reaching implications of Artificial General Intelligence (AGI) and digital colonialism, addressing the ethical dilemmas and potential dangers of these emerging technologies.

In conclusion, the book proposes a path toward self-regulation and offers soft law recommendations to guide the responsible development and deployment of AI. It emphasizes the importance of international cooperation and collaboration in addressing the ethical and legal challenges posed by AI, ensuring that AI's transformative power is harnessed for the benefit of all humanity.

What you will learn

? Understand AI's impact on global legal frameworks.

? Navigate complexities of AI governance and responsible practices.

? LExplore innovative AI applications and economic dimensions.

? Grasp legal visibility, privacy doctrines, and classification methods.

? Assess the evolution from Narrow AI to AGI and digital colonialism.

? Gain insights into self-regulation and the future of AI.

Who this book is for

This book is tailored for professionals, policymakers, and scholars seeking a comprehensive understanding of AI's intersection with international law. While no specific prerequisites are necessary, a foundational awareness of AI concepts and legal frameworks will enhance the reader's engagement with the material.

Table of Contents

SECTION 1: Introduction

1. Artificial Intelligence and International Law

SECTION 2: Technology Governance

2. Pragmatism in Governing AI

3. The Innovation and Economics of AI

SECTION 3: Classification and Recognition of Artificial Intelligence

4. Legal Visibility

5. The Privacy Doctrine

6. The ISAIL Classifications of Artificial Intelligence

SECTION 4: Artificial Intelligence in a Multi-polar World

7. AGI and Digital Colonialism

8. Self-Regulating the Future of AI

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2024-01-23T10:04:51.743
<![CDATA[ Principles of Software Architecture Modernization : Delivering engineering excellence with the art of fixing microservices, monoliths, and distributed monoliths (English Edition) ]]> http://www.scholartext.com/catalog/book/88950278 Publisher : BPB Publications

Long path to better systems that last longer and make engineers and customers happier

Key Features

? Guidance, trade-offs analysis, principles, and insights on understanding complex microservices and monoliths problems and solutions at scale.

? In-depth coverage of anti-patterns, allowing the reader to avoid pitfalls and understand how to handle architecture at scale better.

? Concepts and lessons learned through experience in performing code and data migration at scale with complex architectures. Best usage of new technology using the right architecture principles.

Description

This book is a comprehensive guide to designing scalable and maintainable software written by an expert. It covers the principles, patterns, anti-patterns, trade-offs, and concepts that software developers and architects need to understand to design software that is both scalable and maintainable.

The book begins by introducing the concept of monoliths and discussing the challenges associated with scaling and maintaining them. It then covers several anti-patterns that can lead to these challenges, such as lack of isolation and internal shared libraries.

The next section of the book focuses on the principles of good software design, such as loose coupling and encapsulation. It also covers several software architecture patterns that can be used to design scalable and maintainable monoliths, such as the layered architecture pattern and the microservices pattern.

The final section of the book guides how to migrate monoliths to distributed systems. It also covers how to test and deploy distributed systems effectively.

What you will learn

? Understand the challenges of monoliths and the common anti-patterns that lead to them.

? Learn the principles of good software design, such as loose coupling and encapsulation.

? Discover software architecture patterns that can be used to design scalable and maintainable monoliths.

? Get guidance on how to migrate monoliths to distributed systems.

? Learn how to test and deploy distributed systems effectively.

Who this book is for

This book is for software developers, architects, system architects, DevOps engineers, site reliability engineers, and anyone who wants to learn about the principles and practices of modernizing software architectures. The book is especially relevant for those who are working with legacy systems or want to design new systems that are scalable, resilient, and maintainable.

Table of Contents

1. What’s Wrong with Monoliths?

2. Anti-Patterns: Lack of Isolation

3. Anti-Patterns: Distributed Monoliths

4. Anti-Patterns: Internal Shared Libraries

5. Assessments

6. Principles of Proper Services

7. Proper Service Testing

8. Embracing New Technology

9. Code Migrations

10. Data Migrations

11. Epilogue

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2024-01-23T10:04:51.513