How to start

#MachineLearning #ComputerVision #ImageProcessing

Basic of Programming

• Lecture: Modern C ++ (Summer 2018, Uni Bonn); Cyrill Stachniss

• Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective tech...

• Python Crash Course

• The Art & Science of Product Management, Week 3

Basic of machine learning

• Machine Learning (Stanford University)

• Neural Networks for Machine Learning University of Toronto - Geoffrey E. Hinton

Deep Learning Specialization

1. Neural Networks and Deep Learning

2. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

3. Structuring Machine Learning

4. Convolutional Neural Networks

Full Stack Deep Learning - Spring 2021

Very good lectures and lab sessions in 14 weeks.

Best practice

• The Complete Self-Driving Car Course - Applied Deep Learning

• PyTorch for Deep Learning and Computer Vision

YouTube

• Free online videos ( Image Processing)

• Free online videos (OpenCV)

Other

• Machine Learning Engineering for Production (MLOps) Specialization

• Deep Learning by Yann LeCun

• Deep Reinforcement Learning

• OpenCV AI Kit Crash Course

• Git from Basics to Advanced: Practical Guide for Developers

• Full Stack Deep Learning

• Andrew on MLOps: From Model-centric to Data-centric AI
  
  

Resources:
Tutorials at conferences
Graduate courses and seminars
Yannic Kilcher YouTube channel - explains papers
Two minute papers youtube channel
The Batch - newsletter by Andrw Ng
Import AI - newsletter by Jack Clark

Arxiv sanity (by Karpathy)
Twitter: Jack Clark, Karpathy, Ian Goodfellow, hardmaru, smerity, pabbeel, ...
AI/DL facebook Group
ML Subreddit