30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

Numpy exercises.

Data Science ML Alpha 2022

Everything you need to know for data science.

Learn how to responsibly deliver value with machine learning.

A curated list of references for MLOps

A Python refresher section for all our courses

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

[ECCV 2022] RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering

A collection of machine learning examples and tutorials.

Matplotlib tutorial for beginner

Official Keras Implementation for UNet++ in IEEE Transactions on Medical Imaging and DLMIA 2018

Programming exercises, code katas and puzzles for your job interview training - or just for fun.

Source code from my older (pre Artificial Intelligence for Humans books) books. I am no longer updating these older editions.

List of Computer Science courses with video lectures.

For extensive instructor led learning

Learning Kafka from scratch. More videos https://www.edyoda.com/courses/big-data

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

365 Days Computer Vision Learning Linkedin Post

Collection of useful data science topics along with code and articles

A curated list of awesome mathematics resources

500 AI Machine learning Deep learning Computer vision NLP Projects with code