Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

[Course-2020-2023] taught at Duke MIDS. This is also a Coursera Course that covers MLOps, ML Engineering and the foundations of Cloud Computing for Data Science.

Udacity AWS ML Foundations Scholarship Course Walkthrough

Complete mathematics curriculum for AI/ML/LLM - from foundations to research frontiers

Awesome Agentic AI Learning Resource by DevKay is a curated roadmap for mastering Agentic AI—from ML foundations to production-ready agents. Features a 0–12+ month path, hands-on projects, top resources, agent architectures, and tools like LangChain and AutoGen.

🚂 AI ✈ ML 🛫 Core 🛳 Foundations 🚁 is a 🧸 comprehensive 🚋 that 🎁 provides 🚞 a solid 🚀 starting point 🛩 Artificial 🚟 Intelligence 🛸 and Machine 🚝 Learning 🚤 It covers 🏛 the ML 🏘 algorithms 🏬 mathematical 🕌 foundations 🏦 implementations 🏣 helping 🧱 learners 🚌 transition ⚽ from ⚾ theory to 🥎 hands on 🏀 projects 🏐 with 🏆 ease 🎳

A curated collection of books, notes, and resources focused on mathematical foundations for machine learning, covering linear algebra, calculus, and probability. Includes summaries, practice problems, and references to enhance understanding for ML practitioners.

🥸 Math 🤡 Machine 🥶 Learning 🤖 is a structured 🤑 mathematical 🦁 🚞foundations 🦊 essential 🦫 AI ML linear 🐲 algebra 🐸 probability 🐊 🛬calculus 🐳 🛼optimization 🦋 bridges 🐙 the gap 🥯 between 🍊theory 🚟practical 🍏 implementation 🍑 in Python 🥭 making 🍔 understand 🍱 the math ✈ that powers 🚀 modern machine learning algorithms

This roadmap takes you from math and Python foundations to classical ML, deep learning, transformers, reinforcement learning, and advanced AI projects in a clear step-by-step progression.

Labs for Duke Coursera Course on MLOps Foundations

Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ipynb ), slide decks from weekly Zoom meetups, etc.

ML foundations course by jon krohn (Udemy)

Poker Simulator

This repository contains important resources and course materials for the Microsoft Azure ML Foundations Course provided by Udacity.

Explore the Mathematical Foundations of AI/ML: From Tensors to Consciousness

Repository for the Statistical Foundation of Machine Learning class (INFO-F-422).

A curated list of references to help you get up to speed with the concepts and techniques needed to become a successful ML researcher.

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https://www.coursera.org/learn/ml-foundations/home/welcome

Repository for the Statistical Foundation of Machine Learning class (INFO-F-422) - Academic Year 2018-2019

Coursera 华盛顿大学《机器学习基础：案例研究》课程笔记及练习代码

台大机器学习基石-林轩田 习题解答

📚 A roadmap through AI/ML research literature. 100+ papers organized into a curriculum covering deep learning foundations, NLP, computer vision, interpretability, security, and emerging frontiers.

Machine Learning algorithms built from scratch for AMMI Machine Learning course

Following the course of Machine Learning Foundation--- Case Study Approach by Washington University, I replicate all the cases used in the course by R, Sklearn and Graphlab (R is not possible for some cases). Course Link: https://www.coursera.org/learn/ml-foundations/home/welcome

Mathematical Foundations for data science

🐍 Python Mastery Guide by HERE AND NOW AI – Learn Python from scratch to advanced! 🚀 Includes structured lessons, hands-on exercises, real-world projects, best practices, and AI/ML foundations. Perfect for beginners, developers & AI enthusiasts. ⭐ Clone, learn, and master Python! 🔥

AWS Machine Learning Foundations Course

Course content for the course: Foundations of Data Science & ML by WIP Lane Academy

ML Foundations: A 3-Day Journey into Machine Learning