#book
@Machine_learn

Machine learning – Linear Regression Course (Free)
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Linear regression is perhaps one of the most popular and widely used algorithms in statistics and machine learning.
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Link : https://bit.ly/31W6yH1

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Neural Networks and Deep Learning
A #Textbook
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The Little W-Net that Could

State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models.

Github: https://github.com/agaldran/lwnet

Paper: https://arxiv.org/abs/2009.01907v1
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TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial

👉👉 Watch Here 👉👉
https://youtu.be/tPYj3fFJGjk

⭐️ About the Author ⭐️

The author of this course is Tim Ruscica, otherwise known as “Tech With Tim” from his educational programming YouTube channel. Tim has a passion for teaching and loves to teach about the world of machine learning and artificial intelligence. Learn more about Tim from the links below:
🔗 YouTube: https://www.youtube.com/channel/UC4JX...
🔗 LinkedIn: https://www.linkedin.com/in/tim-ruscica/

⭐️ Course Contents ⭐️

⌨️ Module 1: Machine Learning Fundamentals (00:03:25)
⌨️ Module 2: Introduction to TensorFlow (00:30:08)
⌨️ Module 3: Core Learning Algorithms (01:00:00)
⌨️ Module 4: Neural Networks with TensorFlow (02:45:39)
⌨️ Module 5: Deep Computer Vision - Convolutional Neural Networks (03:43:10)
⌨️ Module 6: Natural Language Processing with RNNs (04:40:44)
⌨️ Module 7: Reinforcement Learning with Q-Learning (06:08:00)
⌨️ Module 8: Conclusion and Next Steps (06:48:24)


TensorFlow 2.0 Complete Course - Python Neural Networks for Beginners Tutorial
@Machine_learn

MushroomRL

Reinforcement Learning Python library

Github: https://github.com/MushroomRL/mushroom-rl

Project page: https://github.com/openai/mujoco-py

@Machine_learn

🧙‍♂️ How to Create a Cartoonizer with TensorFlow Lite

https://blog.tensorflow.org/2020/09/how-to-create-cartoonizer-with-tf-lite.html

Code: https://github.com/margaretmz/cartoonizer-with-tflite

E2E TFLite Tutorials: https://github.com/ml-gde/e2e-tflite-tutorials

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This AI Creates Human Faces From Your Sketches!

https://www.youtube.com/watch?v=5NM_WBI9UBE

Paper: https://arxiv.org/abs/2006.01047
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‍ Must Download : CheatSheet Collection For Data Science in ZIP

Total Folder - 22
Total Size - 216 MB

- Artificial Intelligence
- Machine learning
- Big Data
- OpenCV CheetSheet
- Dev Ops
- Data Analytics
- Python Cheetsheet
- Mathematics
- Excel
- Probability
- SQL
- Statistics
- Deep learning
- Data Warehouse
- Linux
- Interview Question
- Docker & Kubernetes
- Matlab & R Cheatsheet
- Scala CheetSheet

@Machine_learn

LaSOT

Large-scale Single Object Tracking (LaSOT) aims to provide a dedicated platform for training data-hungry deep trackers as well as assessing long-term tracking performance.

http://vision.cs.stonybrook.edu/~lasot/

Github: https://github.com/HengLan/LaSOT_Evaluation_Toolkit

Dataset: http://vision.cs.stonybrook.edu/~lasot/download.html

Paper: https://arxiv.org/abs/2009.03465

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Link : bit.ly/fund_dataProc
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Improving Sparse Training with RigL

https://ai.googleblog.com/2020/09/improving-sparse-training-with-rigl.html

Github: https://github.com/google-research/rigl

Paper: https://arxiv.org/abs/1911.11134

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Pixelopolis, a self-driving car demo from Google I/O built with TF-Lite
@Machine_learn

https://blog.tensorflow.org/2020/07/pixelopolis-self-driving-car-demo-tensorflow-lite.html

Link : bit.ly/3hKhoVn
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Towards Fast, Accurate and Stable 3D Dense Face Alignment

Releases the pre-trained first-stage pytorch models of MobileNet-V1 structure, the pre-processed training&testing dataset and codebase.

Github: https://github.com/cleardusk/3DDFA

Paper: https://arxiv.org/abs/2009.09960v1
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Seeing Theory

🎲 A visual introduction to probability and statistics

https://seeing-theory.brown.edu/index.html#4thPage

📗 Free book: https://seeing-theory.brown.edu/doc/seeing-theory.pdf

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👁 S E E I N G T H E O R Y
#book
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