Popular GitHub Repositories for Andrew Ng

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course

Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng

This repo has been created to share the solutions of all the quizzes and assignments of all three courses of this specialization.

:notebook: Notes for Andrew Ng's courses on deep learning

Deep Learning Specialization by Andrew Ng on Coursera.

吴恩达机器学习课程笔记 。

Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experiments.

Taught by AI genius Andrew NG, this course entails the cutting edge topics such as, How generative AI works including what it can and can't do, Common uses cases such as Reading, Writing, and Chatting, Life Cycle of GenAI projects, Advanced Technology options such as RAG, Fine tunning, and Pre-Training, Implications of GenAI on business & Society.

斯坦福大学Andrew Ng教授在Coursera平台上的机器学习课程

deeplearning.ai , By Andrew Ng, All video link

Machine learning coursera by Andrew Ng

Solutions to Coursera Machine Learning course programming assignments

Programming assignments (with Octave and Python) from Coursera's Machine Learning course taught by Andrew Ng.

Repository consisting the assignments of new Machine Learning Specialization by Andrew Ng.

Solutions of the exercises of Andrew Ng's Machine Learning course available on Coursera (in Octave and Python).

Stanford's 3 part machine learning specialization with Andrew Ng

Implementing regularised linear regression and using it to study models with different bias-variance properties. Insights for applying machine learning.