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.
A site offering course notes and learning material for Stanford artificial intelligence and deep learning classes. It lists primers on topics such as transformers, attention and retrieval augmented generation, alongside links to Stanford CS229, CS230, CS231n and CS224n.
Everything AI/ML is a curated cheatsheet of learning resources covering topics such as generative AI, machine learning, agentic AI, prompt engineering, RAG, fine-tuning and MLOps. It organizes resources into sections, key concepts, interactive visualizations, building blocks and a roadmap from beginner to advanced, with links to external courses, tutorials and documentation.
Machine Learning Visualized is a book of Jupyter Notebooks that implement and mathematically derive machine learning algorithms from first principles. Each notebook's output is a visualization of the algorithm during training, converging at its optimal weights. Chapters cover optimization, clustering and reduction, linear models and activation functions, and neural networks.
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.
PHP Tutorial is a tutorial site for learning PHP from scratch. It covers developing dynamic websites and web applications, with sections on getting started, PHP fundamentals, types, operators, control flow, functions, and arrays. It states that PHP allows development of blogs, content management systems, and online stores.
futurecoder is a free and open-source interactive course that teaches Python programming from scratch to complete beginners. Users run code in the provided editor or shell and answer questions to advance. Features include three debuggers for visualizing execution, beginner-friendly error messages, Parsons problems, and solution breadcrumbs.
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A site offering course notes and learning material for Stanford artificial intelligence and deep learning classes. It lists primers on topics such as transformers, attention and retrieval augmented generation, alongside links to Stanford CS229, CS230, CS231n and CS224n.
Everything AI/ML is a curated cheatsheet of learning resources covering topics such as generative AI, machine learning, agentic AI, prompt engineering, RAG, fine-tuning and MLOps. It organizes resources into sections, key concepts, interactive visualizations, building blocks and a roadmap from beginner to advanced, with links to external courses, tutorials and documentation.
Machine Learning Visualized is a book of Jupyter Notebooks that implement and mathematically derive machine learning algorithms from first principles. Each notebook's output is a visualization of the algorithm during training, converging at its optimal weights. Chapters cover optimization, clustering and reduction, linear models and activation functions, and neural networks.
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.
PHP Tutorial is a tutorial site for learning PHP from scratch. It covers developing dynamic websites and web applications, with sections on getting started, PHP fundamentals, types, operators, control flow, functions, and arrays. It states that PHP allows development of blogs, content management systems, and online stores.
futurecoder is a free and open-source interactive course that teaches Python programming from scratch to complete beginners. Users run code in the provided editor or shell and answer questions to advance. Features include three debuggers for visualizing execution, beginner-friendly error messages, Parsons problems, and solution breadcrumbs.
