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Guide covering topics from machine learning, regression models, neural network to tensor flow

Key Features

  • Machine learning in MATLAB using basic concepts and algorithms.
  • Deriving and accessing of data in MATLAB and next, pre-processing and preparation of data.
  • Machine learning workflow for health monitoring.
  • The neural network domain and implementation in MATLAB with explicit explanation of code and results.
  • How predictive model can be improved using MATLAB?
  • MATLAB code for an algorithm implementation, rather than for mathematical formula.
  • Machine learning workflow for health monitoring.


    • Description

    Machine learning is mostly sought in the research field and has become an integral part of many research projects nowadays including commercial applications, as well as academic research. Application of machine learning ranges from finding friends on social networking sites to medical diagnosis and even satellite processing. In this book, we have made an honest effort to make the concepts of machine learning easy and give basic programs in MATLAB right from the installation part. Although the real-time application of machine learning is endless, however, the basic concepts and algorithms are discussed using MATLAB language so that not only graduation students but also researchers are benefitted from it.



    What Will You Learn

  • Pre-requisites to machine learning
  • Finding natural patterns in data
  • Building classification methods
  • Data pre-processing in Python
  • Building regression models
  • Creating neural networks
  • Deep learning


    • Who This Book Is For

    The book is basically meant for graduate and research students who find the algorithms of machine learning difficult to implement. We have touched all basic algorithms of machine learning in detail with a practical approach. Primarily, beginners will find this book more effective as the chapters are subdivided in a manner that they find the building and implementation of algorithms in MATLAB interesting and easy at the same time.



    Table of Contents

    1. Pre-requisite to Machine Learning
    2. An introduction to Machine Learning
    3. Finding Natural Patterns in Data
    4. Building Classification Methods
    5. Data Pre-Processing in Python
    6. Building Regression Models
    7. Creating Neural Networks
    8. Introduction to Deep Learning


      9. About the Author

      Abhishek Kumar Pandey is pursuing his Doctorate in computer science and done M.Tech in Computer Sci. & Engineering. He has been working as an Assistant professor of Computer Science at Aryabhatt Engineering College and Research center, Ajmer and also visiting faculty in Government University MDS Ajmer. He has tot

    Machine Learning and Deep Learning Algorithms

    QRcode

    Tools and Techniques Using MATLAB and Python

    Guide covering topics from machine learning, regression models, neural network to tensor flow Key FeaturesMachine learning in MATLAB using basic concepts and algorithms.Deriving and accessing of data in MATLAB and next, pre-processing and preparation of data.Machine learning workflow for health mon

    See all description...

    Author(s): Kumar Pandey, Abhishek • Singh Rathore, Pramod • Balamurugan, S.

    Publisher: BPB Publications

    Pub. Date: 2019

    pages: 301

    Language: lang_en

    ISBN: 978-93-88511-13-1

    Guide covering topics from machine learning, regression models, neural network to tensor flow Key FeaturesMachine learning in MATLAB using basic concepts and algorithms.Deriving and accessing of data in MATLAB and next, pre-processing and preparation of data.Machine learning workflow for health mon

    Guide covering topics from machine learning, regression models, neural network to tensor flow

    Key Features

  • Machine learning in MATLAB using basic concepts and algorithms.
  • Deriving and accessing of data in MATLAB and next, pre-processing and preparation of data.
  • Machine learning workflow for health monitoring.
  • The neural network domain and implementation in MATLAB with explicit explanation of code and results.
  • How predictive model can be improved using MATLAB?
  • MATLAB code for an algorithm implementation, rather than for mathematical formula.
  • Machine learning workflow for health monitoring.


    • Description

    Machine learning is mostly sought in the research field and has become an integral part of many research projects nowadays including commercial applications, as well as academic research. Application of machine learning ranges from finding friends on social networking sites to medical diagnosis and even satellite processing. In this book, we have made an honest effort to make the concepts of machine learning easy and give basic programs in MATLAB right from the installation part. Although the real-time application of machine learning is endless, however, the basic concepts and algorithms are discussed using MATLAB language so that not only graduation students but also researchers are benefitted from it.



    What Will You Learn

  • Pre-requisites to machine learning
  • Finding natural patterns in data
  • Building classification methods
  • Data pre-processing in Python
  • Building regression models
  • Creating neural networks
  • Deep learning


    • Who This Book Is For

    The book is basically meant for graduate and research students who find the algorithms of machine learning difficult to implement. We have touched all basic algorithms of machine learning in detail with a practical approach. Primarily, beginners will find this book more effective as the chapters are subdivided in a manner that they find the building and implementation of algorithms in MATLAB interesting and easy at the same time.



    Table of Contents

    1. Pre-requisite to Machine Learning
    2. An introduction to Machine Learning
    3. Finding Natural Patterns in Data
    4. Building Classification Methods
    5. Data Pre-Processing in Python
    6. Building Regression Models
    7. Creating Neural Networks
    8. Introduction to Deep Learning


      9. About the Author

      Abhishek Kumar Pandey is pursuing his Doctorate in computer science and done M.Tech in Computer Sci. & Engineering. He has been working as an Assistant professor of Computer Science at Aryabhatt Engineering College and Research center, Ajmer and also visiting faculty in Government University MDS Ajmer. He has tot

    See all description...