This repository contains some terminology and descriptions of several aspects regarding machine learning.
- Machine learning
- Popular algorithms
- Linear Regression
- Logistic Regression
- Naive Bayes
- Neural Networks
- Decision Trees
- Support vector machines
- Clustering
- More on neural networks
- Books
- Real-world machine learning, H.Brink, J. W. Richards, M. Fetherolf, Manning Publications, 2016
- Machine learning: the art and science of algorithms that make sense of data, Peter Flach, Cambridge University Press, 2012
- Neural networks and deep learning, Michael A. Nielsen, Determination Press, 2015
- Deep learning with python, F. Chollet, Manning Publications, 2017
- Videos
- Blogs
- The countless sources available over the internet that are helping to advance the machine learning community