Artificial Intelligence && Deep Learning
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Channel for who have a passion for -
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers

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Awesome news for beginners in #MachineLearning and #DeepLearning

We've all come to love Dr. Strang's Linear Algebra Lectures from MIT. But his books are sometimes expensive for students and also not available.

Now Stanford University changed all that with their free book they released called "Introduction to Applied Linear Algebra" written by Stephen Boyd and Lieven Vandenberghe

Go get them all here on my #Github page, I will create some beginners lectures and #Python & #Julia notebooks there soon.

Root / main folder: https://lnkd.in/de8uepd

1. The 473 page book itself: https://bit.ly/2tjFNdA
2. Lovely Julia language companion book worth 170 pages! : https://bit.ly/2BxYGy0
3. Exercises book: https://bit.ly/2RZoVTf
4, Course lecture slides: https://bit.ly/2N9TZPC
#beginner #datascience #learning #machinelearning
@kdnuggets @datasciencechats
Source: Linkedin - Tarry Singh
Good day dear subscribers.
Within this past a year we learn or still learning more about specific topics through channel.
I try with my best to provide, keep going with contemporary knowladge and practice, as well as, keep in touch with things based on #AI, #ML, #DL, #DS, #Python.
Thanks for being with us and Stay with us.
Good day dear subscribers.
Today, 25th January, our community are already more than 30K.
Within these years we learn or still learning more about specific topics through channel.
I try my best to provide, keep going with contemporary knowledge and practice, as well as, keep in touch with things based on #AI, #ML, #DL, #DS, #Python.
Thanks for being with us and stay with us and invite your friends (https://t.me/DeepLearning_ai).
If you have suggestions to improve the channel's content or related things, please let me know. Thanks

@ShohruhRakhmatov
Harvard CS109A #DataScience course materials โ€” huge collection free & open!

1. Lecture notes
2. R code, #Python notebooks
3. Lab material
4. Advanced sections
and more ...

https://harvard-iacs.github.io/2019-CS109A/pages/materials.html


It will be really useful for you


invite your friends ๐ŸŒน๐ŸŒน
@Deeplearning_ai