Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
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Top 20+ highly ranked Coursera Courses for Data Science & Machine Learning beginners and advanced
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https://nuggetsnetwork.com/blog/Top-Coursera-DataScience-Courses.html

Free course on Data Visualisation Methods
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Link : bit.ly/2XY4Suw

A Smarter Way to Learn Python: Learn it faster. Remember it longer
#book #python
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Documentation:

1) https://bigml.com/developers

2) https://predictionio.apache.org/datacollection/eventapi/

3) https://docs.anaconda.com/

4) https://github.com/blue-yonder

5) https://docs.mljar.com/

6) http://nupic.docs.numenta.org/

7) https://docs.recombee.com/

8) https://indico.io/docs/

9) http://api.animetrics.com/documentation

10) http://face.eyedea.cz:8080/api/face/docs

11) https://www.betafaceapi.com/wpa/index.php/documentation

12) https://docs.imagga.com/

13) https://wit.ai/docs

14) https://docs.api.bitext.com/

15) https://api.geneea.com/

16) https://www.diffbot.com/dev/docs/

17) https://yactraq.com/contact-trial/

18) https://monkeylearn.com/api/v3/

19) https://help.hutoma.ai/article/ym34wr87lx-hutoma-chat-api

20) http://php-nlp-tools.com/documentation/

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1. Cassie Kozyrkov : https://www.linkedin.com/in/cassie-kozyrkov-9531919/
• Medium : https://medium.com/@kozyrkov

2. Ben Taylor : https://www.linkedin.com/in/bentaylordata/

3. Dat Tran : https://www.linkedin.com/in/dat-tran-a1602320/

4. Ian Goodfellow : https://www.linkedin.com/in/ian-goodfellow-b7187213

5. Jose Marcial Portilla : https://www.linkedin.com/in/jmportilla/

6. Koo Ping Shung : https://www.linkedin.com/in/koopingshung/

7. Lex Fridman : https://www.linkedin.com/in/lexfridman/

8. Kristen Kehrer : https://www.linkedin.com/in/kristen-kehrer-datamovesme/

9. Srivatsan Srinivasan : https://www.linkedin.com/in/srivatsan-srinivasan-b8131b/

10. Andrew Ng : https://www.linkedin.com/in/andrewyng

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Introducing Opacus: A high-speed library for training PyTorch models with differential privacy

https://ai.facebook.com/blog/introducing-opacus-a-high-speed-library-for-training-pytorch-models-with-differential-privacy/

Github: https://github.com/pytorch/opacus

Differential Privacy Series Part 1 | DP-SGD Algorithm Explained: https://medium.com/pytorch/differential-privacy-series-part-1-dp-sgd-algorithm-explained-12512c3959a3

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scikit-learn Cookbook
Second Edition
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#book
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Machine learning – Linear Regression Course (Free)
.
Linear regression is perhaps one of the most popular and widely used algorithms in statistics and machine learning.
.
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
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MushroomRL

Reinforcement Learning Python library

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

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

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🧙‍♂️ 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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