It’s an end-to-end open source machine learning platform. There is core open source library to help one develop and train ML models.
Great website for machine learning in Python. It includes details related to Classification, Regression, Clustering, and more!
This free Coursera course offers a concise introduction to Python Programming using hands on instruction (offered by Wesleyan University)
Free edX course on artificial intelligence; Covers basic of Python programming and an understanding of probability is required. Curriculum: (1) Introduction to AI (2) Building intelligent agents (3) Machine Learning algorithms (4) Applications of AI (Natural Language Processing, Robotics/Vision) and (5) Solving real AI problems through programming with Python. (offered by Columbia University)
Free 4-week Coursera course on machine learning (offered by Stanford University)
Free 4-week Coursera course on machine learning (offered by University of London)
Free 4-week Coursera course introduces foundational concept of neural networks and deep (offered by Stanford University)
Free 4 series of courses (on Coursera) introduce major areas of Machine Learning The four courses are (1) ML Foundations: A Case Study Approach (3) Regression (3) Classification, (4) Clustering, and Information Retrieval (offered by University of Washington)
Free online course machine learning (ML) that covers the basic theory, algorithms, and applications. It is a REAL course, not a watered-down version. The 18 lectures are about 60 minutes each plus Q&A. (offered by Caltech)
Machine Learning course material (slides and videos) taught by Professor Nando de Freitas. (offered by University of Oxford)
Free 12-week course (‘CS50's Introduction to Artificial Intelligence with Python’) offers teaching use machine learning in Python in this introductory course on artificial intelligence. (offered by Harvard University)
Free 8-week course (‘Data Science: Machine Learning’) teaches the basics of machine learning and how to build a recommendation system. One learns the science behind one of the most popular and successful data science techniques. (offered by Harvard University)