Search icon CANCEL
Subscription
0
Cart icon
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Go Machine Learning Projects

You're reading from  Go Machine Learning Projects

Product type Book
Published in Nov 2018
Publisher Packt
ISBN-13 9781788993401
Pages 348 pages
Edition 1st Edition
Languages
Author (1):
Xuanyi Chew Xuanyi Chew
Profile icon Xuanyi Chew

Table of Contents (12) Chapters

Preface 1. How to Solve All Machine Learning Problems 2. Linear Regression - House Price Prediction 3. Classification - Spam Email Detection 4. Decomposing CO2 Trends Using Time Series Analysis 5. Clean Up Your Personal Twitter Timeline by Clustering Tweets 6. Neural Networks - MNIST Handwriting Recognition 7. Convolutional Neural Networks - MNIST Handwriting Recognition 8. Basic Facial Detection 9. Hot Dog or Not Hot Dog - Using External Services 10. What's Next? 11. Other Books You May Enjoy

Summary

In closing, it's only fair to mention that MachineBox does have some limitations for its free tiers; but for personal projects, in my experience, you won't run into them. Despite my personal reservations on the various machine learning-as-a-service systems out there, I do think they provide value. I have used them from time to time, but I generally do not need them. Nevertheless, I highly recommend that the reader check them out.

This chapter, in combination with the previous chapter, has shown the breadth of machine learning in the industry. Not all machine learning algorithms have to be handwritten from scratch if your main problem does not call for it. I am lucky enough to have a career in doing what I love: building customized machine learning algorithms. This may have tainted my views on this issue. You may be an engineer on a deadline who has to solve some...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €14.99/month. Cancel anytime}