The groundbreaking capabilities in AI and Data Science are not easy to grasp, so here's a selection of the best books in the field.
Life 3.0: Being Human in the Age of Artificial Intelligence - Max Tegmark
This is one of the most popular must-read books on AI. Max Tegmark is a fan of artificial intelligence. It makes us think about how our life will change with the introduction of automation, whether AI systems will work stably, etc. The author presents our life in three dimensions: biological, cultural and technological, and also shows how technological disruptions affect the image life computer enginer.
Numsense! Data Science for the Layman - Annalyn Ng, Kenneth Soo
Want to understand Data Science? This book is for everyone who wants to get to know the basics without the mathematical complexity. It covers important topics such as regression analysis, neural networks, decision trees, A / B testing, and more. Reading is aided by illustrations that correspond to real processes. The book is recommended for beginners reading.
Microsoft Excel Data Analysis and Business Modeling - Wayne Winston
When it comes to data analysis, the popular software from Microsoft cannot be ignored. The book covers both Excel basics and complex business intelligence issues. Most of the problems and case studies presented in the book focus on the financial side of business. Topics include pivot tables, descriptive statistics, OFFSET, INDIRECT, Excel Solver, and macros to automate repetitive tasks in data analysis. The author has made sure that the reader gets more information on real examples.
Machine Learning - Tom Mitchell
First published in 1986, this book is the ultimate introduction to learning the elementary aspects of ML. The author assumes that the reader has no knowledge of artificial intelligence or statistics, and provides an easy approach to understanding both topics. The book illustrates popular algorithms such as neural networks, Bayesian learning, reinforcement learning, and analysis of ML datasets with detailed examples.
R for Data Science - Hadley Wickham, Garrett Grolemund
This book introduces you to the basics of the most popular statistical PL, R. The authors explain data visualization and transformation using R functions, Tidyverse, which is a collection of R packages for Data Science, and shows you how to use an IDE called RStudio for software development. ... After reading this book, you will understand the true meaning of R. Each section of the book ends with exercises to consolidate the material.
A Student's Guide to Python for Physical Modeling - Jesse Kinder and Philip Nelson
Python is gaining momentum in the field of Data Science every year. The book will introduce you to tasks from setting up a Python programming environment to performing computational tasks and modeling in an easy-to-understand manner. In addition, code samples, datasets and exercises are provided. Recommended for those interested in learning Python from the classic textbook.
Head First Learn to Code: A Learner's Guide to Coding and Computational Thinking - Eric Freeman
This work is focused on acquaintance with the art of programming. Since there is a lot of coding in AI and Data Science, the book introduces coding etiquette by helping you write correct and understandable code. Python is used as the main language for explaining concepts and examples. The peculiarity of the book is that it contains more pictures than text, which is definitely liked by many novice programmers of any IT segment.
AI and Analytics: Accelerating Business Decisions - Sameer Dhanrajani
A must-read for executives and aspiring AI and data science entrepreneurs. She has business ideas to help drive change in an organization using popular technologies such as chatbots, blockchain and cryptocurrency. It focuses on complex strategies and methodologies in analytics. The author covers most of the popular business sectors such as banking, healthcare, insurance, retail, and more.
Generation Robot: A Century of Science Fiction, Fact, and Speculation - Terri Favro
This AI novel explores the fiction, facts, and consequences that robots can have. Terry Favreau uses the works of popular science fiction writer Isaac Asimov, comics and science fiction in his reasoning, and also examines how robotics and technology penetrate our culture. A book for everyone who is interested in robots and wants to get a portion of science fiction.
The Industries of the Future - Alec Ross
The book, authored by an American technology expert, describes a possible bright picture of the next ten years. The author focused on the innovation taking place in technology in the various countries he visited. Economic ideas in digital technology are what makes this work fun. The topic of the book is technologies such as AI, cybersecurity and genomics.
Artificial Intelligence. Modern Approach - Russell, Norvig
A textbook available in Russian for training artificial intelligence specialists in the United States and other countries. Both technical issues and philosophical aspects of the topic, its ethical implications are touched upon.
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