SkalskiP / coursesLinks
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
☆6,390Updated last year
Alternatives and similar repositories for courses
Users that are interested in courses are comparing it to the libraries listed below
Sorting:
- Practical machine learning notebook & articles covers the machine learning end to end life cycle.☆934Updated 2 years ago
- A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.☆831Updated 2 years ago
- Resoruce to help you to prepare for your comming data science interviews☆1,243Updated last year
- My small cheatsheets for data science, ML, computer science and more.☆1,654Updated 3 years ago
- Explanation to key concepts in ML☆8,513Updated 7 months ago
- A collection of the most important Github repos for ML, AI & Data science practitioners☆953Updated last year
- ☆602Updated 2 years ago
- Train and Deploy an ML REST API to predict crypto prices, in 10 steps☆875Updated last year
- Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽☆1,473Updated last year
- A collection of scientific methods, processes, algorithms, and systems to build stories & models.☆3,663Updated 3 months ago
- This is Andrew NG Coursera Handwritten Notes.☆3,580Updated 6 months ago
- Curated list of data science interview questions and answers☆5,470Updated last year
- Teaching materials for the applied machine learning course at Cornell Tech (online edition)☆1,172Updated 3 years ago
- 🧠 A study guide to learn about Transformers☆1,628Updated 2 years ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,296Updated last year
- A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field …☆5,182Updated 2 weeks ago
- ☆132Updated 2 years ago
- Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)☆4,333Updated 3 months ago
- Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning☆351Updated last year
- Machine Learning Notebooks☆3,431Updated last year
- This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.☆1,154Updated last year
- 🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial …☆3,391Updated last year
- ☆1,506Updated last year
- A curated list of Best Artificial Intelligence Resources☆1,417Updated 7 months ago
- A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures l…☆9,163Updated last week
- Go from no deep learning knowledge to implementing GPT.☆1,285Updated last year
- Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.☆7,603Updated last year
- Collection of important articles to be treated as a textbook☆849Updated 5 months ago
- Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer☆1,325Updated 2 years ago
- this is for myself, development roadmap☆170Updated last year