A Practical Approach for Machine Learning and Deep Learning Algorithms: Tools and Techniques Using MATLAB and Python
A Practical Approach for Machine Learning and Deep Learning Algorithms: Tools and Techniques Using MATLAB and Python
by Abhishek Kumar Pandey, Dr S Balamurugan, Pramod Singh Rathore
- Length: 280 pages
- Edition: 1
- Language: English
- Publisher: BPB Publications
- Publication Date: 2021-06-07
Get Involved with Machine learning
Key Features
- Machine learning in MATLAB using basic concepts and algorithms.
- Algorithms of machine learning in a simple language using MATLAB code.
- 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 you will 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