Digital List Price: | CDN$ 35.99 |
Print List Price: | CDN$ 35.99 |
Kindle Price: | CDN$ 31.28 Save CDN$ 4.71 (13%) |
includes free international wireless delivery via Amazon Whispernet |

Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet or computer – no Kindle device required. Learn more
Read instantly on your browser with Kindle for Web.
Using your mobile phone camera, scan the code below and download the Kindle app.

![Machine Learning For Dummies by [John Paul Mueller, Luca Massaron]](https://m.media-amazon.com/images/W/IMAGERENDERING_521856-T1/images/I/51iEnwyREfL._SX260_.jpg)
Follow the Authors
OK
Machine Learning For Dummies 2nd Edition, Kindle Edition
Amazon Price | New from | Used from |
- Kindle Edition
$31.28 Read with Our Free App - Paperback
$32.93
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 problems
Whether 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.
- ISBN-13978-1119724018
- Edition2
- PublisherFor Dummies
- Publication dateJan. 12 2021
- LanguageEnglish
- File size7489 KB
- Kindle (5th Generation)
- Kindle Keyboard
- Kindle DX
- Kindle (2nd Generation)
- Kindle (1st Generation)
- Kindle Paperwhite
- Kindle Paperwhite (5th Generation)
- Kindle Touch
- Kindle
- Kindle Oasis
Product description
From the Inside Flap
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 use
From the Back Cover
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 use
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.
Product details
- ASIN : B08SZHJGJW
- Publisher : For Dummies; 2 edition (Jan. 12 2021)
- Language : English
- File size : 7489 KB
- Text-to-Speech : Enabled
- Screen Reader : Supported
- Enhanced typesetting : Enabled
- X-Ray : Not Enabled
- Word Wise : Not Enabled
- Sticky notes : On Kindle Scribe
- Print length : 443 pages
- Best Sellers Rank: #298,241 in Kindle Store (See Top 100 in Kindle Store)
- #89 in Distributed Databases
- #287 in Software Introductory Guides
- #381 in AI Machine Learning
- Customer Reviews:
About the authors
John Mueller is a freelance author and technical editor. He has writing in his blood, having produced 117 books and over 600 articles to date. He has also written his second children's book recently, Tail of the Wuggly Bump. His technical topics range from networking to artificial intelligence and from database management to heads down programming. His most recent book is "Machine Learning for Dummies, 2nd Edition." His technical editing skills have helped over 70 authors refine the content of their manuscripts. You can reach John on the Internet at John@JohnMuellerBooks.com and his Web site at: http://www.johnmuellerbooks.com. Make sure to read his blog at http://blog.johnmuellerbooks.com to obtain the latest book information, updates, and extra materials.
Luca Massaron is a data scientist and a research director specialized in multivariate statistical analysis, machine learning and customer insight with over a decade of experience in solving real world problems and in generating value for stakeholders by applying reasoning, statistics, data mining and algorithms. From being a pioneer of Web audience analysis in Italy to achieving the rank of top ten data scientist at competitions held by kaggle.com, he has always been passionate about everything regarding data and analysis and about demonstrating the potentiality of data-driven knowledge discovery to both experts and non-experts. Favouring simplicity over unnecessary sophistication, he believes that a lot can be achieved in data science just by doing the essential.
Customers who viewed this item also viewed
Customer reviews

Reviewed in Canada on February 20, 2022
-
Top reviews
Top reviews from Canada
There was a problem filtering reviews right now. Please try again later.
I just have one comment that I wish they were able to improve the material for the book cover it is very easy to get scratched.

Reviewed in Canada 🇨🇦 on February 20, 2022
I just have one comment that I wish they were able to improve the material for the book cover it is very easy to get scratched.


There was quite an effort for covering many aspects of machine reading, from a tutorial for Python to overview of libraries, but I find the choosen examples superficial and not anymore linked to the latest evolution in the domain.
Top reviews from other countries
