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FREE Course
Getting Started with DeepStream for Video Analytics on Jetson Nano. Here is one more free Deep learning course, you'll learn how to build an AI application for video understanding, configure multiple video streams simultaneously, and convert raw video to useful insights, using JetsonNano and DeepStream SDK.
https://courses.nvidia.com/courses/course-v1:DLI+C-IV-02+V1/about?ncid=so-elev-23879&sfdcid=EM08#cid=em08_so-elev_en-us

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For learning Artificial Intelligence or Data Science, Age doesn't matter. If you can deliver right results, you will get paid. If you think age matters, you've already failed.

All FAQs are listed in this document, I have tried to add some of the Best resources to learn AI. Suggestions and feedback are most welcome. http://bit.ly/aiindiaresources

Best practices, code samples, and documentation for Computer Vision
https://github.com/microsoft/computervision-recipes

Deep Learning with PyTorch
INSTRUCTORS
Yann LeCun & Alfredo Canzian
https://atcold.github.io/pytorch-Deep-Learning/

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"absolutely brilliant"
—Nobel Laureate Danny Kahneman

The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
https://arxiv.org/abs/2002.06177
Must read research paper

A Beginner's Guide To Understanding Convolutional Neural Networks
One of the best attempt to explain CNN, please go through all 3 Blogs
https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks/

This blog post is about the publication process in ML, asking questions about the current fast pace of research and regular conference deadlines. The good thing has been the acceleration of progress, but it's time to step back, maybe consider Slow Science, the value of rigour and questioning the stress of our current scientific environment built on quick-and-dirty incremental papers, encouraging instead longer-term endeavors, quality vs quantity. https://yoshuabengio.org/2020/02/26/time-to-rethink-the-publication-process-in-machine-learning/?fbclid=IwAR3yEgAnzLDmZbcGYKdgCC2SzyxtlZMQZaWchoPWt_o2iHHrn5LmL6N5VLA

Free course on Python Programming

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One of the good books on machine learning is ’Pattern recognition and Machine Learning’ by Christopher Bishop. I just saw a repo that implements all of the algorithms of the book in python.
Download Book: https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf
Github Repo: https://github.com/ctgk/PRML

🔗 Doctors in China Are Using AI to Screen COVID-19 Patients
Medical practitioners in China are using AI-based screening software to identify and prioritize COVID-19 sufferers.

Machine Learning Glossary
This glossary defines general machine learning terms, plus terms specific to TensorFlow
https://developers.google.com/machine-learning/glossary/#convolutional_neural_network

CNN for Computer Vision with Keras and TensorFlow in R
Deep Learning models based on Convolutional Neural Networks (CNN) for Image recognition using Keras and Tensorflow in R
Enroll Now: https://www.udemy.com/course/cnn-for-computer-vision-with-keras-and-tensorflow-in-r/?couponCode=HOLI2020

Google launches TensorFlow Quantum, a machine learning framework for training quantum models
https://ai.googleblog.com/2020/03/announcing-tensorflow-quantum-open.html