Machine learning for dummies
Uiterlijk 29 januari in huis
Fun ways to work and play with new machine learning tools
What, exactly, is machine learning? How can you implement it, and which tools will you need? This book shows you how to build predictive models, detect anomalies, analyze text and images, and more. Machine learning makes all this possible. Dive into this exciting new technology with Machine Learning For Dummies, 2nd Edition. This even-friendlier new edition answers your questions — guiding you in learning essential programming and concepts from scratch! Here is the entry-level info you need to get up and running with machine learning.
Inside. . .
Intro to machine learning and AI Big data and algorithms explained Demystifying the math behind AI Many best practice examples Practical uses for machine learning Real-world datasets Ethical approaches to data useOne of Mark Cuban’s top reads for better understanding A.I. (inc.com, 2021)
Your comprehensive entry-level guide to machine learning
While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models—and way, way more.
Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study.
Understand the history of AI and machine learning Work with Python 3.8 and TensorFlow 2.x (and R as a download) Build and test your own models Use the latest datasets, rather than the worn out data found in other books Apply machine learning to real problemsWhether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world.
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Taal: en
Bindwijze: Paperback
Oorspronkelijke releasedatum: 08 april 2021
Aantal pagina's: 464
Illustraties: Nee
Hoofdauteur: John Paul Mueller
Tweede Auteur: Luca Massaron
Hoofduitgeverij: For Dummies
AI-gegenereerd: Nee
Dyslexievriendelijk: Nee
Editie: 2
Extra groot lettertype: Nee
Product breedte: 185 mm
Product hoogte: 31 mm
Product lengte: 234 mm
Studieboek: Ja
Verpakking breedte: 174 mm
Verpakking hoogte: 37 mm
Verpakking lengte: 233 mm
Verpakkingsgewicht: 1249 g
eWaste: Nee
EAN: 9781119724018