LFD Book Forum

LFD Book Forum (http://book.caltech.edu/bookforum/index.php)
-   General comments on the book (http://book.caltech.edu/bookforum/forumdisplay.php?f=113)
-   -   Appreciation for the book (http://book.caltech.edu/bookforum/showthread.php?t=3804)

cygnids 01-02-2013 11:17 AM

Appreciation for the book
I am a ML novice and recently started to learn through books and online resources. Until recently, I couldn't quite mentally build a framework within which to view ML approaches, justifications, performance, etc; largely, it seemed a choppy sea of techniques flotsam, and I couldn't quite "put my finger" on the subject. And then, fortuitously, I came across your book! I believe it provides a much needed principled approach to the subject, systematically covering the core essentials, and, especially in a manner that also nicely balances readability & mathematical rigor. Now I have a mental framework using which I can place ML developments. As a ML novice, no doubt I risk being shot down for making such bold statements, however, I suspect I'm probably not far from the truth in assessing the utility and need for such an expository text . I wouldn't be surprised if there aren't a ton of other ML beginners who are as appreciative of your book, course, and exposition, as I am. Thank you, Sir, for your wonderful book! I look forward to your upcoming online course! :)

yaser 01-03-2013 10:04 AM

Re: Appreciation for the book
Thank you! You are very kind.

Scarlet_Tindle 11-28-2017 12:04 AM

Re: Appreciation for the book
Yes, it was really appreciating what we learn from the book, Internet is still a better but reading it from will help you to learn good enough.

All times are GMT -7. The time now is 01:28 AM.

Powered by vBulletin® Version 3.8.3
Copyright ©2000 - 2022, Jelsoft Enterprises Ltd.
The contents of this forum are to be used ONLY by readers of the Learning From Data book by Yaser S. Abu-Mostafa, Malik Magdon-Ismail, and Hsuan-Tien Lin, and participants in the Learning From Data MOOC by Yaser S. Abu-Mostafa. No part of these contents is to be communicated or made accessible to ANY other person or entity.