While the rating tells you how good a book is according to our two core criteria, it says nothing about its particular defining features. Therefore, we use a set of 20 qualities to characterize each book by its strengths:
Applicable – You’ll get advice that can be directly applied in the workplace or in everyday situations.
Analytical – You’ll understand the inner workings of the subject matter.
Background – You’ll get contextual knowledge as a frame for informed action or analysis.
Bold – You’ll find arguments that may break with predominant views.
Comprehensive – You’ll find every aspect of the subject matter covered.
Concrete Examples – You’ll get practical advice illustrated with examples of real-world applications or anecdotes.
Controversial – You’ll be confronted with strongly debated opinions.
Eloquent – You’ll enjoy a masterfully written or presented text.
Engaging – You’ll read or watch this all the way through the end.
Eye opening – You’ll be offered highly surprising insights.
For beginners – You’ll find this to be a good primer if you’re a learner with little or no prior experience/knowledge.
For experts – You’ll get the higher-level knowledge/instructions you need as an expert.
Hot Topic – You’ll find yourself in the middle of a highly debated issue.
Innovative – You can expect some truly fresh ideas and insights on brand-new products or trends.
Insider’s take – You’ll have the privilege of learning from someone who knows her or his topic inside-out.
Inspiring – You’ll want to put into practice what you’ve read immediately.
Overview – You’ll get a broad treatment of the subject matter, mentioning all its major aspects.
Scientific – You’ll get facts and figures grounded in scientific research.
Visionary – You’ll get a glimpse of the future and what it might mean for you.
Well structured – You’ll find this to be particularly well organized to support its reception or application.
That sci-fi moment you’ve been waiting for is here: Some machines are already learning on their own and even learning to program themselves. This lively, necessary report from computer science professor Pedro Domingos shows you what this transformation does for science and what it will do for human society. Machine learning is complex and the subject is conceptually dense, but Domingos explains it with clear love for his topic. He details how computers came to learn on their own; how learning algorithms function; and how competing theories of thinking and learning work. His vivid writing, anecdotes and examples help make the topic more accessible than you might expect (though the reader may have to do some heavy lifting). Domingos explains a lot, but sometimes relies too much on his illustrations. getAbstract recommends his treatise to anyone interested in how computers are revolutionizing society, in “machine learning” or in scientific development.
About the Author
Winner of the SIGKDD Innovation Award, Pedro Domingos is a professor of computer science at the University of Washington and a fellow of the Association for the Advancement of Artificial Intelligence. Readers can download the MLN learner “Alchemy” at alchemy.cs.washington.edu.