artificial intelligence and machine learning course
- Coursera:
- "Machine Learning" by Andrew Ng: This is a widely acclaimed course that covers the fundamentals of machine learning. Andrew Ng, a professor at Stanford University, teaches the course.
- "Deep Learning Specialization" by Andrew Ng: This specialization consists of several courses that delve into deep learning and its applications. It covers neural networks, structuring machine learning projects, and more.
- edX:
- "Introduction to Artificial Intelligence (AI)" by Microsoft: This course provides a broad overview of AI concepts and applications. It is suitable for beginners and covers both traditional and modern AI techniques.
- Udacity:
- "Intro to Artificial Intelligence" by Sebastian Thrun and Peter Norvig: This course is a good starting point for beginners and covers basic AI concepts, search algorithms, and machine learning.
- "Machine Learning Engineer Nanodegree" by Udacity: This is a more in-depth program that covers various aspects of machine learning and provides hands-on projects.
- Stanford University Online Courses:
- Stanford University offers various online courses related to AI and machine learning. You can check their online learning platform for the latest offerings.
- Fast.ai:
- "Practical Deep Learning for Coders" by Fast.ai: This course is known for its practical approach to deep learning. It's suitable for those who want to quickly get hands-on experience.
- Google's Machine Learning Crash Course:
- "Machine Learning Crash Course" by Google: This free course by Google is designed for beginners and covers the basics of machine learning using TensorFlow.
- MIT OpenCourseWare:
- "Introduction to Deep Learning" by MIT: MIT offers various courses related to AI and machine learning, and this particular course focuses on deep learning.