One of the most comprehensive cheatsheets on Machine Learning and Data Science. It covers all the essential topics.

👩‍🎓Online lectures on Special Topics in AI: Deep Learning

Fresh free and open playlist on special topics in #DL from University of Wisconsin-Madison. Topics covering reliable deep learning, generalization, learning with less supervision, lifelong learning, deep generative models and more.

Overview Lecture: https://www.youtube.com/watch?v=6LSErxKe634&list=PLKvO2FVLnI9SYLe1umkXsOfIWmEez04Ii
YouTube Playlist: https://www.youtube.com/playlist?list=PLKvO2FVLnI9SYLe1umkXsOfIWmEez04Ii
Syllabus: http://pages.cs.wisc.edu/~sharonli/courses/cs839_fall2020/schedule.html

#wheretostart #lectures #YouTube

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


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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

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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

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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/

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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
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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