Machine Learning Q and AI

Retired

This book is no longer available for sale.

Machine Learning Q and AI

Expand Your Machine Learning & AI Knowledge With 30 In-Depth Questions and Answers

About the Book

Expand Your Machine Learning Knowledge

Machine learning and AI are moving at a rapid pace. Researchers and practitioners are constantly struggling to keep up with the breadth of concepts and techniques. This book provides bite-sized bits of knowledge for your journey from machine learning beginner to expert, covering topics from various machine learning areas. Even experienced machine learning researchers and practitioners will encounter something new that they can add to their arsenal of techniques.

Who Is This Book For?

Machine Learning Q and AI is for people who are already familiar with machine learning and want to learn something new. However, this is not a math or coding book. You won't need to solve any proofs or run any code while reading. In other words, this book is a perfect travel companion or something you can read on your favorite reading chair with your morning coffee.

Print and Digital Books

I'm pleased to announce my collaboration with No Starch Press for the print end ebook editions of my book. This edition has undergone professional editing to enhance its quality. It's now available for at the No Starch Press's website: 

https://nostarch.com/machine-learning-q-and-ai.

About the Author

Sebastian Raschka
Sebastian Raschka, PhD

Sebastian Raschka is a machine learning and AI researcher with a strong passion for education. As Lead AI Educator at Lightning AI, he is excited about making AI and deep learning more accessible and teaching people how to utilize these technologies at scale.

Before dedicating his time fully to Lightning AI, Sebastian held a position as Assistant Professor of Statistics at the University of Wisconsin-Madison, where he specialized in researching deep learning and machine learning. You can find out more about his research on Google Scholar.

Moreover, Sebastian loves open-source software and has been a passionate contributor for more than 10 years. Next to coding, he also loves writing and authored the bestselling Python Machine Learning book and Machine Learning with PyTorch and Scikit-Learn.

If you like to find out more about Sebastian and what he is currently up to, please visit his personal website at https://sebastianraschka.com. You can also find Sebastian on Twitter and LinkedIn.


Table of Contents

  • Preface
    • Who Is This Book For?
    • What Will You Get Out of This Book?
    • How To Read This Book
    • Sharing Feedback and Supporting This Book
    • Acknowledgements
    • About the Author
    • Copyright and Disclaimer
    • Credits
  • Introduction
  • Chapter 1. Neural Networks and Deep Learning
    • Q1. Embeddings, Representations, and Latent Space
    • Q2. Self-Supervised Learning
    • Q3. Few-Shot Learning
    • Q4. The Lottery Ticket Hypothesis
    • Q5. Reducing Overfitting with Data
    • Q6. Reducing Overfitting with Model Modifications
    • Q7. Multi-GPU Training Paradigms
    • Q8. The Keys to Success of Transformers
    • Q9. Generative AI Models
    • Q10. Sources of Randomness
  • Chapter 2. Computer Vision
    • Q11. Calculating the Number of Parameters
    • Q12. The Equivalence of Fully Connected and Convolutional Layers
    • Q13. Large Training Sets for Vision Transformers
  • Chapter 3. Natural Language Processing
    • Q14. The Distributional Hypothesis
    • Q15. Data Augmentation for Text
    • Q16. “Self”-Attention
    • Q17. Encoder- And Decoder-Style Transformers
    • Q18. Using and Finetuning Pretrained Transformers
    • Q19. Evaluating Generative Language Models
  • Chapter 4. Production, Real-World, And Deployment Scenarios
    • Q20. Stateless And Stateful Training
    • Q21. Data-Centric AI
    • Q22. Speeding Up Inference
    • Q23. Data Distribution Shifts
  • Chapter 5. Predictive Performance and Model Evaluation
    • Q24. Poisson and Ordinal Regression
    • Q25. Confidence Intervals
    • Q26. Confidence Intervals Versus Conformal Predictions
    • Q27. Proper Metrics
    • Q28. The K in K-Fold Cross-Validation
    • Q29. Training and Test Set Discordance
    • Q30. Limited Labeled Data
  • Afterword
  • Appendix A: Reader Quiz Solutions
  • Appendix B: List of Questions
  • Notes

The Leanpub 60 Day 100% Happiness Guarantee

Within 60 days of purchase you can get a 100% refund on any Leanpub purchase, in two clicks.

Now, this is technically risky for us, since you'll have the book or course files either way. But we're so confident in our products and services, and in our authors and readers, that we're happy to offer a full money back guarantee for everything we sell.

You can only find out how good something is by trying it, and because of our 100% money back guarantee there's literally no risk to do so!

So, there's no reason not to click the Add to Cart button, is there?

See full terms...

Earn $8 on a $10 Purchase, and $16 on a $20 Purchase

We pay 80% royalties on purchases of $7.99 or more, and 80% royalties minus a 50 cent flat fee on purchases between $0.99 and $7.98. You earn $8 on a $10 sale, and $16 on a $20 sale. So, if we sell 5000 non-refunded copies of your book for $20, you'll earn $80,000.

(Yes, some authors have already earned much more than that on Leanpub.)

In fact, authors have earnedover $13 millionwriting, publishing and selling on Leanpub.

Learn more about writing on Leanpub

Free Updates. DRM Free.

If you buy a Leanpub book, you get free updates for as long as the author updates the book! Many authors use Leanpub to publish their books in-progress, while they are writing them. All readers get free updates, regardless of when they bought the book or how much they paid (including free).

Most Leanpub books are available in PDF (for computers) and EPUB (for phones, tablets and Kindle). The formats that a book includes are shown at the top right corner of this page.

Finally, Leanpub books don't have any DRM copy-protection nonsense, so you can easily read them on any supported device.

Learn more about Leanpub's ebook formats and where to read them

Write and Publish on Leanpub

You can use Leanpub to easily write, publish and sell in-progress and completed ebooks and online courses!

Leanpub is a powerful platform for serious authors, combining a simple, elegant writing and publishing workflow with a store focused on selling in-progress ebooks.

Leanpub is a magical typewriter for authors: just write in plain text, and to publish your ebook, just click a button. (Or, if you are producing your ebook your own way, you can even upload your own PDF and/or EPUB files and then publish with one click!) It really is that easy.

Learn more about writing on Leanpub