Comments (7)
Very happy to hear you find our book useful! It's truly a labor of love.
The second edition will be coming out later this year! I'll make sure to let you know when it is released.
Yes @nicholashub - as the publication date approaches the Notes section will be expanded - and slideshow presentations will be added!
from machine_learning_refined.
I'll second that. The book is such a gem! Also wondering if you'll be working on the uncompleted Notes section on the homepage! @jermwatt
from machine_learning_refined.
PS: @TaiChiTiger @nicholashub If you have a moment, could you please rate / briefly review the first edition of our text on Amazon (https://amzn.to/2U95UCV) or your favorite book review site? (Reviews on Amazon can be made even if you purchased the text elsewhere, or were given a copy by someone, etc.,!)
These reviews go a long way to helping us get our text in front of new potential readers who we think will love it once they crack it open! This goes double for the forthcoming 2nd edition!!!
from machine_learning_refined.
I'm reading the first version of your book, it helps me a lot. When I finished, I will add a review in both Chinese and English on Amazon.
from machine_learning_refined.
Just added the review! BTW, is it intentional that the solutions to the exercises in the book are not provided?
from machine_learning_refined.
Thanks so much!
Yes - no solutions in the back (a standard with our publisher). However if you are not enrolled in a university course using the text I can provide you with solutions to the first edition if you email me at [email protected]!
from machine_learning_refined.
Thanks!
from machine_learning_refined.
Related Issues (20)
- Images on 3.10 don't display (despite src being correct)
- solution to exercises? HOT 2
- how to get the solution? HOT 1
- Example 3.3 Galileo and uniform acceleration HOT 1
- Text errors/typos in chapter 6, 2nd edition HOT 1
- Error in Example 3.5 HOT 1
- Problems with the electronic version on Amazon HOT 2
- Solutions to exercises on Cambridge Resources site missing HOT 1
- Supplementary videos HOT 1
- Machine Learning 101
- Question about decision trees being universal function approximators. HOT 1
- Which version of matplotlib was used? HOT 8
- Why don't it have code and source of the first version? HOT 2
- conda build failed with matplotlib pinned to v3.1.0 (why OLD version)? Will attempt to float all dependencies to latest... HOT 3
- Missing 2-4 chapters' exercise folders for 2nd edition HOT 6
- Chapter 2 exercises file is not rendering correctly HOT 1
- git lfs pull not working HOT 1
- Exercise 2.1 - Uniform sampling HOT 4
- downloading the repository in the form of zip HOT 2
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