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Tutorial teaching the main ideas of unsupervised feature learning and deep learning, with implementation of feature learning and deep learning algorithms. It assumes basic machine learning knowledge, including supervised learning, logistic regression and gradient descent, and suggests completing an earlier machine learning course first.
Andrew Ng’s Machine Learning at Stanford University is a Coursera course titled 'Supervised Machine Learning: Regression and Classification'. It is the first course of the Machine Learning Specialization. The course teaches how to build machine learning models in Python using NumPy and scikit-learn, covering regression and classification. It is aimed at beginners, requires flexible scheduling over three weeks at ten hours per week, and offers a shareable certificate.
Deep Learning Drizzle is a collection of links to university and instructor lecture materials on deep learning and related machine learning topics. It lists courses by title, instructor or institution, course webpage, lecture videos and year. Topics include neural networks, natural language processing, computer vision, reinforcement learning, Bayesian deep learning, medical imaging and graph neural networks.
German Learning Roadmap provides educational videos, lessons, tutorials, or self-learning resources.
IXL Learning provides educational lessons, courses, tutorials, or study material for self-learning.
Data School is a blog about data science and machine learning. Its posts cover topics such as the difference between AI and machine learning, learning scikit-learn, AI progress, and using pandas for calculations. Posts are tagged by subject including Python, AI, and machine learning.
H2O is an open-source, distributed, fast, and scalable machine learning platform hosted on GitHub by the h2oai organization. It supports a wide range of machine learning methods including deep learning, gradient boosting, random forest, generalized linear modeling, clustering, dimensionality reduction, rule fitting, support vector machines, stacked ensembles, and automated machine learning.
Machine Learning Module is a GitHub repository that claims to host the best machine learning tutorials on the web. It invites contributions from the community and serves as a collection of learning resources for machine learning.
A staged learning roadmap for machine learning that covers mathematics and calculus, programming, and machine learning concepts. It advises moving to the next stage only after fully understanding the current one. The mathematics section covers linear algebra, calculus, and probability and statistics, and the programming section covers Python basics and advanced Python.
The Free Learning List is a free, ranked, and categorized directory of free educational resources from the internet. It is provided as a free service by The School of Thought International, a 501(c)(3) nonprofit that creates Creative Commons critical thinking resources. The directory includes YouTube channels, podcasts, eBooks, courses, subreddits, and materials focused on effective thinking, languages, programming, and books, with all content available free to access under Creative Commons licenses.
A GitHub repository collecting AI learning resources, including over 100 cheat-sheets, free online books, courses, videos and lectures, papers, tutorials, researchers, websites, datasets, conferences, frameworks and tools. Topics include machine learning, deep learning, big data, data science and Python.
Project Based Learning is a GitHub repository or organization with source code, releases, documentation, or project resources.
Sinosplice is a blog focused on learning Mandarin Chinese, maintained by John Pasden. It offers free resources including a beginner's guide to Chinese pronunciation, a guide to the five stages of learning Chinese, material on learning tones, tone pair drills and Chinese grammar hurdles, alongside articles about life in China.
Awesome Machine Learning with Ruby is a GitHub-hosted curated list of resources for machine learning development using the Ruby programming language. It includes tutorials and machine learning libraries for Ruby users.
cl-online-learning is a Common Lisp library collecting machine learning algorithms for online linear classification. It implements binary classifiers including Perceptron, AROW, SCW-I, logistic regression with SGD or ADAM, and FTRL-Proximal, plus multiclass approaches such as one-vs-rest, one-vs-one, multiclass AROW and softmax with FTRL-Proximal. Command line tools are provided as a roswell script, and the package is available from Quicklisp.
Full Stack Deep Learning offers news, community, and courses for people building AI-powered products. It covers the lifecycle of an AI-powered product, from defining the problem and picking a GPU or foundation model to production deployment and continual learning.
Gizmo is an AI-powered learning application. Users input the material they are learning, and the tool's AI converts it into flashcards. Quizzes use gamified elements, spaced repetition, and active recall techniques to support learning retention.
LangX is a language exchange app for practising with native speakers who are learning the user's language. Users see people who speak the language they are learning and are learning theirs. Messages can be held to receive corrections, and a feed allows sharing moments and asking for corrections. It is free, open source and without ads, and is available on iOS, Android and web.
A project-based learning resource for coding across web development, mobile development, game development, machine learning and artificial intelligence. It presents the approach of learning by doing and building projects rather than only following tutorials.
Sebastian Thrun’s Introduction To Machine Learning provides AI-assisted learning, courses, tutorials, or study support.
SignSchool is a resource for learning American Sign Language online. It offers video-based learning material, interactive exercises, quick lectures and reviews, and a modular curriculum, available on desktop, iOS and Android. The site describes itself as a fun and free resource for learning ASL at one's own pace.
Data Science 101 is a blog started in 2012 by Ryan Swanstrom about learning to become a data scientist. It covers getting started, data science career tips, free learning resources, videos, and academic papers.
Frontend Learning Kit is a GitHub repository or organization with source code, releases, documentation, or project resources.
GeoGebra is an interactive mathematics platform for teaching and learning. It provides free digital tools including calculators, graphing, geometry, 3D exploration, and collaborative whiteboard features. The platform offers ready-made educational resources for grades 4 to 12, tools for users to create custom materials, and classroom functionality for teachers to track student progress and provide feedback. It integrates with various learning management systems and is used by teachers and students at school and university levels.
