yazdotai / machine-learning-video-courses
Comprehensive list of machine learning videos
☆38Updated 6 years ago
Alternatives and similar repositories for machine-learning-video-courses:
Users that are interested in machine-learning-video-courses are comparing it to the libraries listed below
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆175Updated 3 years ago
- List of AI Residency & Research programs, Ph.D Fellowships, Research Internships☆157Updated 4 years ago
- Blogs on Machine Learning and Deep learning☆110Updated 3 years ago
- An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch☆171Updated 2 years ago
- Interview Questions and Answers for Machine Learning Engineer role☆118Updated 2 years ago
- Example of a Cover letter for AI Residency☆80Updated 5 years ago
- A set of notes, in the form of a simple Github Pages site, which will serve as a complete crash course on the various areas of mathematic…☆63Updated 4 years ago
- A living collection of deep learning problems☆34Updated 8 years ago
- A collection of PyTorch notebooks for learning and practicing deep learning☆136Updated 5 years ago
- Notes on Deep Learning textbook by Ian Goodfellow, Yoshua Bengio and Aaron Courville☆63Updated 6 years ago
- Metaflow tutorials for ODSC West 2021☆64Updated 3 years ago
- ☆31Updated 5 years ago
- Programming Assignments and Lectures for UC Berkeley's CS 294: Deep Reinforcement Learning☆57Updated 6 years ago
- Material for my course: Optimization in Machine Learning☆31Updated 4 years ago
- 📘Overview of Modern Deep Learning Techniques Applied to Natural Language Processing☆48Updated 5 years ago
- (Under Construction) I am currently writing a solution from the Medium article "Cracking the Machine Learning Interview," written by Subh…☆87Updated 5 years ago
- ☆43Updated last year
- An introduction to Natural Language Processing (NLP) course☆39Updated 3 years ago
- Deep learning research implemented on notebooks using PyTorch.☆63Updated 3 years ago
- Basic guidance on how to contribute to Papers with Code☆21Updated 2 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆81Updated 6 years ago
- AI Summer's complete catalog of articles☆108Updated 3 years ago
- A List of Machine Learning Interview Questions.☆47Updated 6 years ago
- Code snippets for our Book solutions☆44Updated 5 years ago
- A project for implementing ML and NLP papers☆13Updated 4 years ago
- A club to keep learning about ML☆91Updated 3 years ago
- A Natural Language Processing course taught by Professor Ghassemi☆174Updated 3 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆267Updated 4 years ago
- A QuestionBank of data science interview Questions☆73Updated 4 years ago