Dannjs - Easy Deep Neural Networks for the Web
🔗 https://dannjs.org

Fully Connected Neural Networks with Keras

n this course, we'll build three different neural networks with Keras, using Tensorflow for the backend. Keras is a high level API for building neural networks, and makes it very easy to get started with only a few lines of code.

🔗 Neural Networks with Keras free course link

Machine Learning University: Accelerated Natural Language Processing Class

1.6k stars 368 forks


https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp


Join @github_repositories_bds for more cool repositories.

*This channel belongs to @bigdataspecialist group

How to choose a database-type and technology for your project:

Deep learning with Python:

⭐️ 12.9k

https://github.com/fchollet/deep-learning-with-python-notebooks

Join @github_repositories_bds for more cool repositories.
*This channel belongs to @bigdataspecialist group

Data Preparation in SQL, with Cheat Sheet!

Gently down the stream
A gentle introduction to Apache Kafka

Written and illustrated by Mitch Seymor

Learn about Kafka in a way i am sure you haven't seen before 😊

https://www.gentlydownthe.stream/

Photoshop detector AI called FALDetector aims to detect facial edits that warps the faces to make chin or jaw looks thinner, or the forehead smaller. However, it is not really accurate and consistent as it look at the individual pixels too much, as different resolution of the same person can result in different predictions with this AI model.

FALDetector:

Github:
https://github.com/peterwang512/FALdetector

Project page:
https://peterwang512.github.io/FALdetector/

Installation tutorial:
https://www.youtube.com/watch?v=fZSWAsjwQpE

Paper:
https://arxiv.org/pdf/1906.05856.pdf

Amazing Hackthon Solved Data Science/ML Project Collection

⭐️ 167

https://github.com/analyticsindiamagazine/MachineHack/tree/master/Hackathon_Solutions

The Only Probability Cheatsheet You'll Ever Need

https://static1.squarespace.com/static/54bf3241e4b0f0d81bf7ff36/t/55e9494fe4b011aed10e48e5/1441352015658/probability_cheatsheet.pdf

source: https://github.com/wzchen/probability_cheatsheet

➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.

*This channel belongs to @bigdataspecialist group

Practical Deep Learning for Coders
Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD - the book and the course
🎬 8 lessons
⏰ 16 hours
https://course.fast.ai/

➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.

*This channel belongs to @bigdataspecialist group

Undergraduate Machine Learning (Nando de Freitas/University of British Columbia)

Author: prof Nando de Freitas
🎬 33 lessons
⏰ 21 hours

An undergraduate machine learning course. Lectures are filmed and put on YouTube with the slides posted on the course website. The course assignments are posted as well (no solutions, though). De Freitas is now a full-time professor at the University of Oxford and receives praise for his teaching abilities in various forums. Graduate version available.

https://www.cs.ubc.ca/~nando/340-2012/index.php

#machinelearning #datascience #statistics
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.

*This channel belongs to @bigdataspecialist group

ACL Year-ROUND Mentorship

Incredible opportunity from NLP community of the Association for Computational Linguistics. The students all over the world can apply and get the mentorship in their research career during the whole year!
You can discuss anything — starting from the choice of the career to the questions how to manage your time and life.

More details here:
https://mentorship.aclweb.org/Home.html

CS231n: Convolutional Neural Networks for Visual Recognition
Stanford - Spring 2021

These notes accompany the Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition. You can also find google colab notebooks and all assignments here. For questions/concerns/bug reports, you can submit a pull request directly to their git repo.


🔗 https://cs231n.github.io/

#stanford #cnn #visual recognition
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group

Artificial Intelligence course by MIT

Professor: Patrick Winston, Ford Professor of Artificial Intelligence and Computer Science.
🎬 23 lessons
⏰ 17 hours

This course includes interactive demonstrations which are intended to stimulate interest and to help students gain intuition about how artificial intelligence methods work under a variety of circumstances.

🔗 Link to couse
🔗 Link to video lessons 🎬


#ai #artificialintellignece #mit
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group