Machine Learning

Learn Machine Learning from the best Machine Learning tutorials, including the most popular Machine Learning online courses, videos, books, podcasts, and blogs.

Resource type
Cost
Skill level
Certificate

Machine Learning for Investment Professionals (Coursera)

This course is uniquely tailored to the needs of investment professionals or those with investment industry knowledge who want to develop a basic, practical understanding of machine learning techniques and how they are used in the investment process. This course is part of the Data Science for Investment Professionals Specialization offered by CFA Institute.

 

Machine Learning from Stanford University (Coursera)

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).

Machine Learning With Big Data (Coursera)

This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems.

Learn Machine Learning (Codecademy)

This course covers the foundational machine learning algorithms that will help you advance in your career. Whether you're trying to analyze a dataset using machine learning, or you're a data analyst trying to upgrade your skills, this course is the best place to start.

Applied Machine Learning Online Course

The AppliedAICourse attempts to teach students/course-participants some of the core ideas in machine learning, data science and AI that would help the participants go from a real-world business problem to a first cut, working and deployable AI solution to the problem.

Learning from Data - Caltech

This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications.

Machine Learning for Everyone

I decided to write a post I've been wishing existed for a long time. A simple introduction for those who always wanted to understand machine learning. Only real-world problems, practical solutions, simple language, and no high-level theorems. One and for everyone. Whether you are a programmer or a manager.

CS229 - Machine Learning by Stanford

This course provides a broad introduction to machine learning and statistical pattern recognition. The course will also discuss recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing.