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.
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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

Amazing Google Sheets feature. Did you know this?

Translate in Google Sheets

Imrove your skills by Learning and Practicing Python, Machine Learning, Deep Learning (beginner, intermediate, advanced topic). Complete tutorial categorized series from data-flair

Faster in Python
with Line-of-Code Completions. Machine-learning applied to programming in Python.

Deep Learning lecture
The full deck of (600+) slides, by Professor Gilles Louppe. PDF file available here:

Deep Learning lecture

"One Model to Rule Them All" Christoph Molnar.
Some experienced toughts how to work effectively with your Machine Learning model(project)