Titlebook: Machine Learning and Artificial Intelligence; Ameet V Joshi Book 20201st edition Springer Nature Switzerland AG 2020 Artificial Intelligen

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ML with minimal use of mathematics to make the topics more i.This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifi

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Introduction to AI and MLver last several decades. I will also lay the outline of the book and describe how different parts of the book are organized and how they unfold the topics in sequence. This layout will help the user to plan on how to get most out of the book. If he/she wants to focus on only some specific aspect(s)

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Essential Concepts in Artificial Intelligence and Machine Learninglicitly or explicitly. A new comer to this area of machine learning will find this chapter of immense value and will suddenly feel lot more confident in understanding the multitude of concepts that are built on top of these principles. I would strongly advise to not skip this chapter. All these conc

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Decision Trees. The other approaches deal with the data that is strictly numerical that may increase or decrease monotonically. The equations that define these approaches are designed to work only when the data is numerical. However, the theory of decision trees does not rely on the assumption of numerical data.