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Machine Learning for Dummies by John Mueller
£25.99
Available
Product Ref. (e.g. ISBN, SKU)
9781119724018
Published:
08 Apr 2021
Format:
Paperback
Number of pages:
464 pages
Dimensions:
233.7x185.4x30.5mm
Weight:
0.658kgs
Author:
Machine learning can be a mind-boggling concept for the masses, but those who are in the trenches of computer programming know just how invaluable it is. Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldn't be possible, and this is only showcasing just a few of its capabilities. Written by two data science experts, 'Machine Learning For Dummies' offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks. Covering the entry-level topics needed to get you familiar with the basic concepts of machine learning, this guide quickly helps you make sense of the programming languages and tools you need to turn machine learning-based tasks into a reality.
One 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.
About the Author: John Mueller has produced hundreds of books and articles on topics ranging from networking to home security and from database management to heads-down programming. Luca Massaron is a senior expert in data science who has been involved with quantitative methods since 2000. He is a Google Developer Expert (GDE) in machine learning.
| Number of pages | 464 |
|---|
We will despatch your order as quickly as we can. If, for whatever reason, a product is out of stock we will contact you to discuss the likely delivery time or an alternative product.
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| EU | £15.00 | £30.00 |
| USA & Canada | £30.00 | £50.00 |
| Rest of the World | £45.00 | £60.00 |
| Collect in Store | free | free |
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