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Practical Approach for Machine Learning and Deep Learning Algorithms (Paperback)

By Abhishek Kumar Pandey , Pramod SinRathore , Dr. S. Balamurugan
MRP: Rs.360.00 You save: Rs.72.00 (20%)
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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.

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.

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

Abhishek Kumar Pandey , Pramod SinRathore , Dr. S. Balamurugan
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