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
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
GitHub
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials/Beginners_Guide_Math_LinAlg/Applied Linear Algebra at master Β·β¦
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas ...
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Hello tech enthusiasts! π
Our project leverages the power of ONNX Runtime to deliver high-accuracy face identification.
π Check out our project and see it in action!
π Visit our GitHub Repository: FACE ID
We need your support to make this project even better! Hereβs how you can help:
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π Share with your network to spread the word about AdaFace.
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π Why U^2-Net?
* Efficient
* AdvancedArchitecture.
* High-Resolution Outputs
π Key Applications:
* Salient Object Detection
* Background Removal
* Medical Imaging
π‘ Ready to Transform Projects
β¨ Give our repo a β and show your support!
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π»Source Code: Explore GitHub Repo
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