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AI-Guide

These are links to material that I found vital to passing courses I was taking at Texas Tech Unviersity (TTU) and the Technische Universität Hamburg (TUHH). This will act as a reference to go back and restudy material I may need. It also contains coruses on material I want to study in the future.

Mathematics

Professor Leonard

Prealgebra
Intermediate Algebra
Introduction to Statistics
Precalculus - College Algebra/Trigonometry
Calculus I
Calculus II
Calculus III
Intro to Differential Equations

MIT

MIT 18.01 Single Variable Calculus
MIT 18.02 Multivariable Calculus
MIT 18.03 Differential Equations

MIT 18.06 Linear Algebra - Gilbert Strang
MIT 18.650 Statistics for Applications - Philippe Regollet

Computer Science

Classical CS Introductions and Algorithms

Harvard CS50 Introduction to Computer Science (C/Python)
MIT 6.100L Introduction to CS and Programming using Python - Ana Bell
MIT 6.006 Intro to Algorithms
MIT 6.851 Advanced Data Structures

Artificial Intelligence Focused

Stanford CS229 Machine Learning
Stanford CS230 Deep Learning
Stanford CS231n Deep Learning for Computer Vision

Influential Research Articles

Transformers/Attention - Attention Is All You Need 1706.03762

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Links and guides to help you start and grow your knowledge in AI, machine learning, and deep learning.

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