Independently published (November 20, 2018). 78 pages.

This book intends to provide an overview of Machine Learning and its algorithms & models with help of R software. Machine learning forms the basis for Artificial Intelligence which will play a crucial role in day to day life of human beings in the near future. A basic understanding of machine learning is required, as its application is widely seen in different fields such as banks and financial sectors,…

New book, in progress. By Andriy Burkov, Machine Learning Team Leader at Gartner.

The following chapters are currently available:

Foreword

Chapter 1: Introduction

Part I: Supervised Learning

Chapter 2: Notation and Definitions

Chapter 3: Fundamental Algorithms

Chapter 4: Anatomy of a Learning Algorithm

Chapter 5: Basic Practice

Chapter 6: Neural Networks and Deep…

Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis…

This book, initially written for chemical engineers, is actually very interesting for data scientists and machine learning engineers alike. For more free books, visit this page.…