Another great lecture series from Stanford. CS224N Natural Language Processing with Deep Learning | Winter 2019

Well explained Tutorial series: Transfer Learning, Natural Language Processing, Text classification, etc from Sebastian Ruder.

Data Science Project - Analyzing Space Launches with Python

Play with #GAN(Generative Adversarial Networks) in your browser and better understand what's going on inside network

The most important concepts and features of scaPy: Advanced NLP in Python

Computer Vision news from RSIP VISION. April 2019

Good day dear subscribers. Today, 12th april, our channel is celebrating its 1 year birhtday and our community are already more than 10K.
Within this past 1 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.
If you have suggestion to improve channel's content or related things, please let me know. Thanks

Deep Reinforcement Learning Lectures series from Bootcamp. August 2017. Video materials and slides are provided. Berkeley CA

"100 Days of Machine Learning" tutorial series with codes. Github repo.
Some content example:
* Data Preprocessing,
* Simple Linear Regression,
* Multiple Linear Regression,
* Logistic Regression,
* K nearest neighbours,
* Math Behind Logistic,
* Regression,
* SVM,
.........
* Digging Deeper| Mathplotlib |Pandas |Numpy,
* Heirarchical Clustering

Thanks for Avik Jain for sharing great tutorial

Mini course in Deep Learning with PyTorch. Jupyter Notebook files and Slides also provided.
Here is some content from repo:
* ML and spiral classification,
* CNN,
* Salsa,
* RNN, Word Language model,
* Generative models,
........
* VAE, regularization
Detailed explanation