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Machine learning crash course
Google for Developers · ml foundations, classification, neural networks, foundations
AI directory search
Use this when you know the topic you need: Claude Code, MCP, evals, RAG, agents, product, coding, prompting, foundations, or model internals.
21 matches for "Machine learning"
Craig Hewitt and 100 Days of AI · Beginner to intermediate
Operator-led AI education for founders who need practical business workflows, team redesign, and AI-native leadership without becoming machine learning engineers.
Skills
AI leadership, Founder workflows, Business systems, Automation
StatQuest · Beginner to intermediate
Excellent plain-language explanations for statistics and machine learning concepts that underpin modern AI.
Skills
ML foundations, Statistics, Neural networks
AI and Machine Learning for Coders · Beginner to intermediate
Practical developer-oriented teaching for ML foundations and TensorFlow.
Skills
TensorFlow, ML foundations, Computer vision, NLP
Hands-On Machine Learning · Beginner to intermediate
One of the most useful hands-on books for classical ML plus neural network foundations.
Skills
Scikit-learn, TensorFlow, ML foundations, Deep learning
Serrano Academy · Beginner to intermediate
Clear visual explanations of machine learning and AI math concepts.
Skills
ML foundations, Math, Neural networks, AI foundations
Krish Naik AI tutorials · Beginner to intermediate
Large catalog of practical machine learning, deep learning, and generative AI tutorials.
Skills
Machine learning, Deep learning, LLM apps, MLOps
A fast, practical way to build vocabulary and intuition before going deeper into LLMs or AI engineering.
Topics
ML foundations, Classification, Embeddings, Neural networks
Kaggle Learn · Beginner
Useful for people who need the data and ML basics before working seriously with AI tools.
Topics
Python, Machine learning, Data preparation, Computer vision
CS50's Introduction to Artificial Intelligence with Python · Beginner to intermediate
A rigorous entry point into classical AI concepts, search, optimization, machine learning, neural networks, and language processing.
Topics
Search, Knowledge representation, ML foundations, AI foundations
Stanford CS229 Machine Learning · Intermediate
A strong foundation for people who need the math and modeling basics under applied AI.
Topics
ML foundations, Supervised learning, Unsupervised learning, Model evaluation
freeCodeCamp AI and machine learning courses · Beginner to intermediate
Large library of practical tutorials for developers who prefer project-based learning.
Topics
Python, Machine learning, LLM apps, Coding with AI
Udacity School of AI · Beginner to advanced
Project-heavy AI learning for people who want structured programs and portfolio work.
Topics
Machine learning, Deep learning, AI product, Computer vision
Coursera AI courses · Beginner to advanced
Broad catalog for comparing university, company, and practitioner-led AI programs.
Topics
AI foundations, Machine learning, Generative AI, Business AI
edX artificial intelligence courses · Beginner to advanced
Useful for more academic AI courses and professional certificate programs.
Topics
AI foundations, Machine learning, Robotics, Ethics
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Free course · Google for Developers · Beginner
You need practical ML vocabulary before deeper AI engineering.
ml foundations, classification, neural networks
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Micro-course · Kaggle · Beginner
You need small exercises for ML basics.
ml foundations, python, data
Books · Laurence Moroney · Beginner to intermediate
Use this when you want Laurence Moroney's material for tensorflow and related AI skills.
TensorFlow, ML foundations, Computer vision, NLP
Book · Aurelien Geron · Beginner to intermediate
Use this when you want Aurelien Geron's material for scikit-learn and related AI skills.
Scikit-learn, TensorFlow, ML foundations, Deep learning
YouTube tutorials · Krish Naik · Beginner to intermediate
Use this when you want Krish Naik's material for machine learning and related AI skills.
Machine learning, Deep learning, LLM apps, MLOps