Machine Learning Without the Fog
Models explained with worked examples
A clear, practical guide with worked examples in every chapter.
- 330pages
- 10chapters
- 47figures and tables
- 1stedition
This book is for you if you are
- Students and career changers
- Office professionals who want to automate work
- Developers learning a new area
Why this book
Machine Learning Without the Fog is a practical guide to models explained with worked examples. It starts from the basics, builds up step by step, and keeps every chapter tied to real situations.
Hands-on technology books with code you can run, real datasets and exercises. From first steps to job-ready skills.
What you'll learn
- Use real datasets and real tools
- Debug problems step by step
- Understand the ideas behind the tools
- Build small projects for your portfolio
Not the right book for: Experts looking for advanced internals.
Questions about this book
Can I get it in another format?
Yes. You get the PDF right away. Need EPUB, Kindle or Word? Contact us with your order number and we send it in the format you need.
Does it work on Kindle?
Yes. Send the PDF with Amazon's Send to Kindle service, or ask us for a Kindle-ready file. Step-by-step guide.
How many times can I download it?
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What if the file does not work?
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Buy with confidence
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Contents
- 1Setting upp. 1
- 2First stepsp. 31
- 3Core conceptsp. 62
- 4Working with real datap. 92
- 5Common patternsp. 122
- 6Debuggingp. 153
- 7A complete projectp. 183
- 8Going furtherp. 214
- 9Exercisesp. 244
- 10Cheat sheetp. 274
Details
- Publisher
- Lantern Academic (sample)
- Edition
- 1st edition, 2026
- Pages
- 330
- Language
- English
- Formats
- PDF (any other format on request)
- File size
- 5.6 MB
- Licence
- Personal use, keep forever
