book review


Top Artificial Intelligence Books to Read in 2019 MarkTechPost

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A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. In this mind-expanding book, scientific pioneer Marvin Minsky continues his groundbreaking research, offering a fascinating new model for how our minds work. He argues persuasively that emotions, intuitions, and feelings are not distinct things, but different ways of thinking. Introduction to Artificial Intelligence presents an introduction to the science of reasoning processes in computers, and the research approaches and results of the past two decades.


New Advances in Machine Learning IntechOpen

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The purpose of this book is to provide an up-to-date and systematical introduction to the principles and algorithms of machine learning. The definition of learning is broad enough to include most tasks that we commonly call "learning" tasks, as we use the word in daily life. It is also broad enough to encompass computers that improve from experience in quite straightforward ways. The book will be ... The purpose of this book is to provide an up-to-date and systematical introduction to the principles and algorithms of machine learning. The definition of learning is broad enough to include most tasks that we commonly call "learning" tasks, as we use the word in daily life.


Introduction to Multi-Armed Bandits

arXiv.org Artificial Intelligence

Multi-armed bandits a simple but very powerful framework for algorithms that make decisions over time under uncertainty. An enormous body of work has accumulated over the years, covered in several books and surveys. This book provides a more introductory, textbook-like treatment of the subject. Each chapter tackles a particular line of work, providing a self-contained, teachable technical introduction and a review of the more advanced results. The chapters are as follows: Stochastic bandits; Lower bounds; Bayesian Bandits and Thompson Sampling; Lipschitz Bandits; Full Feedback and Adversarial Costs; Adversarial Bandits; Linear Costs and Semi-bandits; Contextual Bandits; Bandits and Zero-Sum Games; Bandits with Knapsacks; Incentivized Exploration and Connections to Mechanism Design.


Best books on AI in business for World Book Day Verdict

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Artificial intelligence (AI) is changing the world of business at an incredible pace, but there are some fantastic resources available to those that don't want to get left behind. With World Book Day upon us, we look at the best books on AI in business. In a world where you can get any information in a matter of seconds, the book can become a forgotten medium. But for those looking to future-proof their organisation, there are some excellent options that provide far more than a Google search can provide. There are thousands of books taking on the topic of AI and automation in business, but we've restricted ourselves to just five that offer a unique take on the topic.


Algorithms Are Already Making Decisions For Humans, And It's Getting Weird

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I can still recall my surprise when a book by evolutionary biologist Peter Lawrence entitled The Making of a Fly came to be priced on Amazon at $23,698,655.93 (plus $3.99 shipping). While my colleagues around the world must have become rather depressed that an academic book could achieve such a feat, the steep price was actually the result of algorithms feeding off each other and spiralling out of control. It turns out, it wasn't just sales staff being creative: algorithms were calling the shots. This eye-catching example was spotted and corrected. But what if such algorithmic interference happens all the time, including in ways we don't even notice?


Practical Mathematical Optimization - Basic Optimization Theory and Gradient-Based Algorithms Jan A Snyman Springer

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This textbook presents a wide range of tools for a course in mathematical optimization for upper undergraduate and graduate students in mathematics, engineering, computer science, and other applied sciences. Basic optimization principles are presented with emphasis on gradient-based numerical optimization strategies and algorithms for solving both smooth and noisy discontinuous optimization problems. Attention is also paid to the difficulties of expense of function evaluations and the existence of multiple minima that often unnecessarily inhibit the use of gradient-based methods. This second edition addresses further advancements of gradient-only optimization strategies to handle discontinuities in objective functions. New chapters discuss the construction of surrogate models as well as new gradient-only solution strategies and numerical optimization using Python.


Another 10 Free Must-Read Books for Machine Learning and Data Science

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You should look at your data. Graphs and charts let you explore and learn about the structure of the information you collect. Good data visualizations also make it easier to communicate your ideas and findings to other people. Beyond that, producing effective plots from your own data is the best way to develop a good eye for reading and understanding graphs--good and bad--made by others, whether presented in research articles, business slide decks, public policy advocacy, or media reports. This book teaches you how to do it.


The W.E.I.R.D. CEO, book review: Leadership in the AI age

ZDNet

Employment contracts haven't changed much since ancient Roman times: they're all about showing up and doing the job, not about whether the job will be satisfying or whether the employee will get the tools and authority they need to do the job. Startups may have free snacks and lots of perks, but once they grow into large companies it tends to be business as usual, with hierarchies and managers whose priorities might not actually help employees deliver what the business needs. Could a CEO taking a radically different approach do better? That's what Charles Towers-Clark explores in The WEIRD CEO: How to lead in a world dominated by Artificial Intelligence. 'Weird' doesn't mean strange in this case: it's an acronym for principles that are intended to make employees more independent and, at the same time, more involved and invested in the success of the organisation.


What Is The Best Book On Artificial Intelligence (AI)?

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AI is rapidly changing the way we live and do business, which leaves many business leaders feeling like they're struggling to keep pace with developments. As such, business leaders often ask me for tips on recommend reading – they want to know which books will help them understand the AI revolution, grasp its impact on our world and plan for an AI-driven future. I read a lot about AI, for my consulting work, and more recently as research for my latest book'Artificial Intelligence in Practice' and, of course, because I find the subject absolutely fascinating. In fact, I'd say I've devoured pretty much every key AI book that's been published in the last decade.


Global Big Data Conference

#artificialintelligence

AI is rapidly changing the way we live and do business, which leaves many business leaders feeling like they're struggling to keep pace with developments. As such, business leaders often ask me for tips on recommend reading – they want to know which books will help them understand the AI revolution, grasp its impact on our world and plan for an AI-driven future. I read a lot about AI, for my consulting work, and more recently as research for my latest book'Artificial Intelligence in Practice' and, of course, because I find the subject absolutely fascinating. In fact, I'd say I've devoured pretty much every key AI book that's been published in the last decade. My plan for this article was to nominate the single best book on AI – as in, if you could only read one, which book should it be?