The 15 best books on AI, today we’re taking a look at our collection of books that talk about one of the most exciting topics of today artificial intelligence or AI. Artificial intelligence is a branch of computer science that focuses on developing intelligent machines that behave like humans. Thanks to Hollywood there’s quite a debate on this topic one side says machines are going to be the death of humanity and in a few hundred years they will take over the world as we as the species will go extinct. The other side is saying that AI is going to help us solve the most perplexing problems we’re facing today and we’ll probably have in the future. They’ll work side by side with humans to equally prosper and develop.
Nothing is set in stone the future is what we make it and the best way to do that is to be very well informed and very much aware of this world-changing phenomenon. With that said how about we go for it and see the best books on AI.
1. Life 3.0 by Max Tegmark
This author has studied for many years the potential effects artificial intelligence could have on crime, Wars, jobs, even society as a whole. He discovered that if humanity doesn’t tread carefully as fast as things are changing this could be the end of an era.
Life 3.0 had a deep influence on Elon Musk determining his perspective on AI, inspiring him to speak out and take action against the risks that AI poses to humanity. If you’re interested to see what Tegmark had to say about artificial intelligence that had such a profound impact on such a man as Musk.
2. The master algorithm by Pedro Domingo’s
This book was written as a thought-provoking experiment which explores in detail the field of machine learning and reminds us how memorizing the potential of technology can be. It also gives us an insight into the inner workings of the machines that fuel Google and Amazon.
3. Deep Medicine by Erik Tuple
In the past few decades doctor-patient relationships have been severed gradually. Resulting in doctors being distracted, overwhelmed and being unable to truly connect with their patients.
Eric Topol reveals in this book how artificial intelligence could revolutionize the medical field, not only bridge the doctor-patient relationship but improve the accuracy of diagnosing and providing treatment for patients. Significantly cutting the costs of medicine and reducing human mortality. Deep medicine is a very innovative compelling and inspiring book that shows us just how much better our medical system could be with the assistance of AI.
4. Prediction Machines by AJ Agrawal
Joshua Gon’s and Avi Goldfarb full of insightful amusing and practical facts. This book explains how to navigate the waves coming with the profound impact a I will have on our world. Although it might seem complex and almost impossible to comprehend. The author’s frame everything as cheap non-magical predictions and it makes it easy and simple to understand.
5. AI Superpowers by Kai Fuli
This author argues that even though most people will see AI as something that will be mainstream many years in the future, it’s actually much closer than we think. Radical changes are coming and sooner than most people would expect. Li urges China and the u.s. To bear the responsibilities that come along with having a massive technological power and influence that will have enormous impact on jobs of all kind.
AI superpowers also explain which jobs are affected the most which can be enhanced by artificial intelligence and how we can find solutions to each problem that will rise along the way with the shift.
6. Machine Learning Refined by Jeremy Watt, Reza Borhani and Aggelos K. Katsaggelos
The contents of this book provide a unique approach to machine learning, one that is intuitive fresh and somewhat meticulous in its representation of the fundamental., this book is the key asset for students and a great reference for researchers and engineers working in computer science, Electrical Engineering, signal processing and mathematical optimization.
7. The Book of Why by Judea Pearl and Dana Mckenzie
This book presents a fresh narrative that questions and redefines the fundamental structure of our AI systems. Machine learnings cannot tell us with precision whether a factor caused another factor but instead they rely on millions of repetitive calculations that give us high value associations.
It’s a fantastic book that will make you understand more why our current AI is based on poor understanding of interconnected variables.
8. Weapons Of Mass Destruction by Kathy O’Neill
Since we’re heading into a world driven by AI hopefully something close to a utopia. Cathy O’Neill feels that everyone would benefit from a basic understanding of the flaws in our current AI systems. Weapons of mass destruction covers all of these issues that come with algorithms in the financial system, the educational system, the criminal justice system and many more.
9. Singularity Is Near by Ray Kurzweil
Unlike most books so far, this one focus more on the technical side of artificial intelligence instead of the philosophical side of things. It takes a profound look at how the relationship between man and AI could evolve over time and it makes a few interesting points which we think are worth knowing about.
10. Superintelligence – Paths, Dangers, Strategies by Nick Bostrom
Superintelligence is a bold and highly ambitious book that raises a plethora of questions. Making the reader aware of every possible implication that AI could have on the world.
Boström also explores the odds of building and intelligence far greater than we anticipated which could lead to a better world or our unbridled demise.
11. The Diamond Age by Neal Stephenson
This is a pretty unique fictional novel that revolves around the stolen a I called primer, which holds immense power that was designed to raise and educate a little girl. The book follows the journey of one such little girl and her primer who evolves from a homeless helpless orphan to a young woman that can potentially change the world.
12. Machine Learning with Random Forests and Decision Trees by Scott Hartshorn
Here’s an author willing to help you comprehend how the machine learning algorithms random forests and decision trees function behind the scenes. This book takes a different Avenue when it comes to explaining algorithms by breaking them down and showing what each part of the equation does and how it will affect the process in question.
13. The Rise of Robots by Martin Ford
Ford takes an abundance of economic data from two major players in the world’s economic landscape and emphasizes the implications robots would have on society. The reader will learn how jobs and education, healthcare and finance can be easily automated today and how those technological changes would affect future generations and society as a whole.
14. Profiles Of the Future by Arthur C. Clarke
Here’s something that will quickly change your views on AI faster than you can say artificial intelligence is taking over the world. Clarke analyzes in early chapters the educated opinions of many people on what artificial intelligence will bring to table in the near future, while in later chapters he makes his own predictions following a predictable trajectory and a short time span.
15. The Second Machine Age by Erik Brynjolfsson and Andrew McAfee
This book outlines the massive improvements that have been realized in the AI sector in the past few decades and how they’ll affect the new era of automation we are entering into. The second Machine Age will help you understand how artificial intelligence will unleash the full power of human creativity.
It’s both grounded and visionary with a high focus on economic ramifications, like most of you out there we’re excited ourselves at the thought of having our own personal AI assistant or seeing how AI could improve the healthcare industry the financial industry and so many others.
