Currently, not only developers and scientists face artificial intelligence, but also people who have nothing to do with the scientific and programming world. Therefore, ordinary individuals wonder what AI systems and machine learning mean, what features big data have, and how software can accept decisions and make forecasts. These answers can be found in books and guides. Our review describes 8 of such publications.
How to Create a Mind: The Secret of Human Thought Revealed
Author: Ray Kurzweil
Production year: 2012
The author tells readers about special features of human and artificial intelligence. Ray Kurzweil provides information from the brain computer modelling history, shares genetic algorithm data, and explains the emergence of neural networks. Besides, he reveals a brain development strategy, philosophical aspects of AI system evolutions, and future expectations.
Author: Tom Mitchell
Production year: 1986
Being originally published in the 1980s, the book is still relevant and will be a good guide to learning basic aspects of machine learning technology.
Tom Mitchell gives a clear and brief definition of machine learning. He tells readers about neural networks, reinforcement learning, genetic algorithms, analytical learning, and inductive learning.
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Author: Cathy O’Neil
Production year: 2016
In the annotation, the author invites readers to the world of terrifying big data. She stresses that the state and various corporations have been long applying mathematical algorithms as a weapon primarily aimed at vulnerable segments of the population.
Cathy O’Neil describes the damage caused by math models illustrated with real-world examples. She narrates about the transfer of authority to intelligent systems and challenges of algorithms in different sectors such as finances, education, and justice.
Python Machine Learning
Author: Sebastian Raschka
Production year: 2015
The book will allow readers to immerse themselves into the world of predictive analytics and gain insight on features of ML technologies.
The author talks about the application of machine learning models, neural network designing, writing of readable and concise code, detection of hidden repeated data structures, etc. Sebastian Raschka makes arguments for Python being a leading programming language.
The Fourth Industrial Revolution
Author: Klaus Schwab
The author isGerman economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum in Davos. His book is a guide that will help people to find their bearings within changes to be held as part of the Fourth Industrial Revolution.
Klaus Schwab unveils information about the most significant technologies and solutions of our age: robotics, artificial intelligence, 3D printing, nanotechnologies, and so on. He prepares forecasts and analyzes how innovations will affect economy, labor market, healthcare, and what changes they will introduce to human life.
Our Final Invention. Artificial Intelligence and the End of the Human Era
Author: James Barrat
Production year: 2013
Not all people believe that artificial intelligence is a technology able to make the world a better place. There are doubters suggesting that such solutions should be treatedcarefully. James Barrat clearly depicts worries and dreads concerning artificial intelligence among some people.
Superintelligence. Paths, Dangers, Strategies
Author: Nick Bostrom
The book focuses on the future of artificial intelligence and related risks. The author mentions that machine intelligence can get out of human control, leading to the unpredictable outcome. Nick Bostrom shares his opinion of what will happen when machines excel people in terms of intelligence and whether they will help humankind or not.
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake
Author: Pedro Domingos
Production year: 2015
The Master Algorithm is an introduction to the machine learning sector. The author describes particularities of this technology and explains what philosophy, physics, statistics, and biology ideas it is related to. Pedro Domingos speculates on how ML will transform the world.
Now, the market offers dozens of books dedicated to artificial intelligence. Some of them are aimed at developers and programmers, and others at students. Moreover, there are publications written for readers who know nothing about AI. Thus, everyone will be able to find a book allowing to explore the world of advanced technologies and discover their characteristics, advantages, and disadvantages.
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of artificial intelligence as a technology in general and in businesses in particular.
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