Computer Science and Programming
151K subscribers
632 photos
29 videos
37 files
919 links
Channel specialized for advanced topics of:
* Artificial intelligence,
* Machine Learning,
* Deep Learning,
* Computer Vision,
* Data Science
* Python

Admin: @otchebuch

Memes: @memes_programming

Ads: @Source_Ads,
https://telega.io/c/computer_science
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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
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The most important concepts and features of scaPy: Advanced NLP in Python
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Computer Vision news from RSIP VISION. April 2019
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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
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Deep Reinforcement Learning Lectures series from Bootcamp. August 2017. Video materials and slides are provided. Berkeley CA
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"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
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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
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Amazing Google Sheets feature. Did you know this?
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Imrove your skills by Learning and Practicing Python, Machine Learning, Deep Learning (beginner, intermediate, advanced topic). Complete tutorial categorized series from data-flair
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