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If you want to learn the fundamentals of ML I recommend a book, such as Deep Learning: Foundations and Concepts by Chris Bishop. If you insist on staying online

by esafak 5mo ago

If you want to learn the fundamentals of ML I recommend a book, such as Deep Learning: Foundations and Concepts by Chris Bishop. If you insist on staying online, one option is https://course.fast.ai/ https://course.fast.ai/ If you don't know ML I don't think you're going to learn much through ad hoc demos.

rishabhaiover 5mo ago
This book equipped me with the right intuition and tools to visualize machine learning. I wish I was smart enough to hold it all together.
- andai 5mo ago
  >I wish I was smart enough to hold it all together. I used to have a wife, but they took her in the divorce! The human mind isn't very good at correlating its contents[0]. You can "know" something for years without realizing its implications. The human mind traverses its knowledge like a man with a small flashlight in total darkness. Our beam of attention is small and narrow, so you need to put the right things in it, or the magic doesn't happen. This has important implications for learning. I don't know what they are though. Probably something like, "you can know something without knowing what it means." You haven't connected it to the things it's supposed to be connected to yet. I don't know how to fix that though. (Something involving the Feynman technique, maybe?) [0] H.P. Lovecraft quote - https://www.goodreads.com/quotes/193944-the-most-merciful-thing-in-the-world-i-think-is https://www.goodreads.com/quotes/193944-the-most-merciful-th...
mysterydip 5mo ago
Checked out the book on your recommendation, and they even have a free online option on their site! Very generous: https://www.bishopbook.com/ https://www.bishopbook.com/
stuxnet79 5mo ago
I didn't know Bishop had released a new textbook. I will have to take a look at it. I wasn't the biggest fan of his Pattern Recognition book as I found it overly dense. I much preferred the Murphy and Alpaydin books. EDIT: His son is co-author?
- zxexz 5mo ago
  I still find his pattern recognition book useful and informative. It may be dense, but some of us consider that a positive for 'reference' literature. That book was one of very few that still holds up well fr when it was published - truly in on of the last "dark ages" of ML. I think those down voting you are perhaps overly eager. I upvoted. Grab "Deep Learning" - you'll find it useful, imteresting, and likely less 'dense' in the negative sense!
  - stuxnet79 5mo ago
    Appreciate your comment. I skimmed the online version and it covers all the 2010s era developments all the way to Transformers which is enough to earn it a spot on my bookshelf. > Grab "Deep Learning" - you'll find it useful, imteresting, and likely less 'dense' in the negative sense! Absolutely! I just ordered it and it's enroute :)
DevarshRanpara 5mo ago
This fast AI course looks soo good man! Definitely I will start learning soon. Thank you!
llimllib 5mo ago
I remember sitting in the senior study lounge reading the previous Bishop book and implementing the perceptron from it, 22 years ago: https://github.com/llimllib/personal_code/blob/945b017b2915ccd148bb09a0f93d0ab9bdb703a9/python/perceptron/perceptron_old.py#L34 https://github.com/llimllib/personal_code/blob/945b017b2915c... (before numarray and numpy merged!)
vismit2000 5mo ago
Even 'The Welch Labs Illustrated Guide to AI' is pretty good: https://www.welchlabs.com/store/illustrated-guide-to-ai https://www.welchlabs.com/store/illustrated-guide-to-ai

by esafak 5mo ago

rishabhaiover 5mo ago

This book equipped me with the right intuition and tools to visualize machine learning. I wish I was smart enough to hold it all together.

andai 5mo ago
>I wish I was smart enough to hold it all together. I used to have a wife, but they took her in the divorce! The human mind isn't very good at correlating its contents[0]. You can "know" something for years without realizing its implications. The human mind traverses its knowledge like a man with a small flashlight in total darkness. Our beam of attention is small and narrow, so you need to put the right things in it, or the magic doesn't happen. This has important implications for learning. I don't know what they are though. Probably something like, "you can know something without knowing what it means." You haven't connected it to the things it's supposed to be connected to yet. I don't know how to fix that though. (Something involving the Feynman technique, maybe?) [0] H.P. Lovecraft quote - https://www.goodreads.com/quotes/193944-the-most-merciful-thing-in-the-world-i-think-is https://www.goodreads.com/quotes/193944-the-most-merciful-th...

mysterydip 5mo ago

Checked out the book on your recommendation, and they even have a free online option on their site! Very generous: https://www.bishopbook.com/ https://www.bishopbook.com/

stuxnet79 5mo ago

I didn't know Bishop had released a new textbook. I will have to take a look at it. I wasn't the biggest fan of his Pattern Recognition book as I found it overly dense. I much preferred the Murphy and Alpaydin books. EDIT: His son is co-author?

zxexz 5mo ago
I still find his pattern recognition book useful and informative. It may be dense, but some of us consider that a positive for 'reference' literature. That book was one of very few that still holds up well fr when it was published - truly in on of the last "dark ages" of ML. I think those down voting you are perhaps overly eager. I upvoted. Grab "Deep Learning" - you'll find it useful, imteresting, and likely less 'dense' in the negative sense!
- stuxnet79 5mo ago
  Appreciate your comment. I skimmed the online version and it covers all the 2010s era developments all the way to Transformers which is enough to earn it a spot on my bookshelf. > Grab "Deep Learning" - you'll find it useful, imteresting, and likely less 'dense' in the negative sense! Absolutely! I just ordered it and it's enroute :)

DevarshRanpara 5mo ago

This fast AI course looks soo good man! Definitely I will start learning soon. Thank you!

llimllib 5mo ago

I remember sitting in the senior study lounge reading the previous Bishop book and implementing the perceptron from it, 22 years ago: https://github.com/llimllib/personal_code/blob/945b017b2915ccd148bb09a0f93d0ab9bdb703a9/python/perceptron/perceptron_old.py#L34 https://github.com/llimllib/personal_code/blob/945b017b2915c... (before numarray and numpy merged!)

vismit2000 5mo ago

Even 'The Welch Labs Illustrated Guide to AI' is pretty good: https://www.welchlabs.com/store/illustrated-guide-to-ai https://www.welchlabs.com/store/illustrated-guide-to-ai