Get Free Ebook , by Steven Finlay Dr Steven Finlay
Get Free Ebook , by Steven Finlay Dr Steven Finlay
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, by Steven Finlay Dr Steven Finlay
Get Free Ebook , by Steven Finlay Dr Steven Finlay
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Product details
File Size: 2893 KB
Print Length: 194 pages
Publisher: Relativistic; 3 edition (June 30, 2018)
Publication Date: June 30, 2018
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B07F63RMSW
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Amazon Best Sellers Rank:
#193,510 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
This is a great book. It covers what can be very complex topics, but is written in a way that makes them very easy to understand. If you’re looking for an introduction to AI and Machine Learning, I can’t think of a better resource.For business folks evaluating whether these technologies may benefit their organization, this provides a great framework. For students entering the business and/or tech world, this would be a great starting point. Though it is not a technical reference, I think it gives developers and IT folks a good understanding of how others are evaluating their work.Even if you’re not in one of the categories above, you’ve likely seen ton of news articles discussing (but not always fully explaining) these technologies. This book would be great for you as well.I’ve read a lot of books and articles on these topics, but there’s nothing I can point to that provides a better overview.
Kudos are well deserved for the author demystifying some of the biggest and least understood buzzwords out there today: AI. Machine learning. Big data....Finally a straightforward discussion of these advanced concepts wrapped in an easily-accessible and understandable fashion. If you're curious about the topics and nervous about buying an in-depth tome in which you will feel lost in jargon and technical mumbo-jumbo, buy this one. The author is clearly an expert in the topic area and does a fantastic job of explaining it to mortals.Pick this one up, you'll be glad you did.
FINALLY! An author who approaches this subject without the need to resort to intimidating hyperbole or presenting the subjecct in the context of science fiction doom and an extinction event. This author provides solid informmationn with appropriate examples to mae the subject clear and, whenn it's not possible (as in the case of data science in certain respects) indicates the salient characteristics with references to mmore detailed information elsewhere. I never felt bogged down in merciless detail or archane examples. For one thing, it is the same brilliant minds who some predict will create the engine of human doom that currenttly seem unable to protect our credit card information from hackers. Anyone want to predict the demise of mmankind at the hands of some geek at Facebook? In any case, this book is well written, extremely useful, a pleasure to read and a great buy!
Love this book, it explains basic concepts without pretending to be over-smart.
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