Free Online Supervised Learning Courses & MOOCs

Machine Learning, Maths & Ethics: Hands-on (POK)

Polimi OPEN KNOWLEDGE

Politecnico di Milano

Machine Learning, Maths & Ethics: Hands-on (POK)

Data Science

Embark on an enlightening journey into the world of Machine Learning, Mathematics, and Ethics with our unique Hands-on (POK) course. This beginner-friendly program is crafted to equip you with essential skills and knowledge while fostering a gender-inclusive environment for learning. Dive deep into understanding machine learning principles, unravel societal challenges, and explore mathematical underpinnings—all in one inclusive package.

Available

5-12 Weeks

Math ML Artificial Intelligence

Polimi OPEN KNOWLEDGE

Politecnico di Milano

Machine Learning (POK)

Data Science

Discover the transformative world of Machine Learning with our beginner-friendly MOOC. Explore key methods that are revolutionizing sectors worldwide and learn how these techniques can be applied to solve complex problems. Our course offers a concise yet thorough overview of machine learning fundamentals, including problem taxonomy, algorithmic solutions, and practical case studies.

Available

3 Weeks

ML Machine Learning Supervised Learning

Machine Learning for Semiconductor Quantum Devices (edX)

EdX

Delft University of Technology,DelftX

Machine Learning for Semiconductor Quantum Devices (edX)

Sci: Physics Data Science

Dive into the world of quantum computing with our exclusive course on Machine Learning for Semiconductor Quantum Devices. This course is designed for those interested in leveraging artificial intelligence to overcome challenges in controlling and calibrating semiconductor-based quantum computers, a key frontier in modern technology.

Self Paced

Self-Paced

Machine Learning Quantum Neural Networks

EdX

StanfordOnline

Statistical Learning with Python (edX)

Statistics & Data Analysis CS: Programming

Discover the essential tools of statistical modeling and data science through this comprehensive course. Explore both classic and cutting-edge methods and learn how to apply them using Python's powerful capabilities. Whether you're new to the field or looking to deepen your expertise, this course offers a blend of theory and practical application that will equip you with the skills needed for real-world analysis.

Self Paced

Self-Paced

Python Statistics Classification