Today’s Artificial Intelligence (AI) has far surpassed the hype of blockchain and quantum computing. The developers now take advantage of this in creating new Machine Learning models and to re-train the existing models for better performance and results. This book will give an introduction to machine learning and its implementation.This book has been prepared for professionals aspiring to learn the complete picture of machine learning and artificial intelligence. This book caters the learning needs of both the novice learners and experts, to help them understand the concepts and implementation of machine learning.Before learning machine learning, you must have the basic knowledge of followings so that you can easily understand the concepts of machine learning:Fundamental knowledge of probability and linear algebra.
The ability to code in any computer language, especially in Python language.
Knowledge of Calculus, especially derivatives of single variable and multivariate functions.
Besides, they need to have a solid understanding of computer programming and fundamentals.If you are new to this arena, we suggest you pick up books based on these concepts first, before you embark on with Machine Learning.