Machine learning for Beginners: Learn to build learning systems using Python
- 1 Ed.
- New Delhi: BPB Publication: 2020.
- i-xvii+244p.
This books covers important concepts and topics in ML. This book coveres algorithms and implementations of the most common features selection techniques. It begins with Data cleansing and presents an overview of feature selection.
An Introduction to ML Preprocessing and feature selection Regression Classification Neural Network I-The perception Neural Network II-The Multi layer perception Support vector machine Decision trees Clustering Feature extraction
Towards the end, the book gives a brief overview of unsupervised learning. Various feature extraction techniques, such as fourier transform, STFT, and local Binary patterns are covered.