📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

Lec 06. Generalization Theory

📐 ML Fundamentals

Lec 06. Generalization Theory

MIT OpenCourseWare Beginner 1mo ago

PyTorch Tutorial

📐 ML Fundamentals

PyTorch Tutorial

MIT OpenCourseWare Beginner 1mo ago

Lec 18. Transfer Learning: Models

📐 ML Fundamentals

Lec 18. Transfer Learning: Models

MIT OpenCourseWare Beginner 1mo ago

3: Deep Learning for Computer Vision – Building Convolutional Neural Networks from Scratch

📐 ML Fundamentals

3: Deep Learning for Computer Vision – Building Convolutional Neural Networks from Scratch

MIT OpenCourseWare Advanced 2mo ago

5: Deep Learning for Natural Language – The Basics

📐 ML Fundamentals

5: Deep Learning for Natural Language – The Basics

MIT OpenCourseWare Beginner 2mo ago

2: Training Deep NNs (cont.); Introduction to Keras/Tensorflow; Application to Tabular Data

📐 ML Fundamentals

2: Training Deep NNs (cont.); Introduction to Keras/Tensorflow; Application to Tabular Data

MIT OpenCourseWare Beginner 2mo ago

4: Deep Learning for Computer Vision – Transfer Learning and Fine-Tuning; Intro to HuggingFace

📐 ML Fundamentals

4: Deep Learning for Computer Vision – Transfer Learning and Fine-Tuning; Intro to HuggingFace

MIT OpenCourseWare Beginner 2mo ago

1: Introduction to Neural Networks and Deep Learning; Training Deep NNs

📐 ML Fundamentals

1: Introduction to Neural Networks and Deep Learning; Training Deep NNs

MIT OpenCourseWare Beginner 2mo ago

Lecture 4: Linear Algebra (cont.); Probability Theory

📐 ML Fundamentals

Lecture 4: Linear Algebra (cont.); Probability Theory

MIT OpenCourseWare Beginner 3mo ago

Lecture 23: Introduction to Machine Learning

📐 ML Fundamentals

Lecture 23: Introduction to Machine Learning

MIT OpenCourseWare Beginner 3mo ago

Lecture 1, Part I: Introduction of the Class

📐 ML Fundamentals

Lecture 1, Part I: Introduction of the Class

MIT OpenCourseWare Beginner 3mo ago

Lecture 2: Linear Algebra

📐 ML Fundamentals

Lecture 2: Linear Algebra

MIT OpenCourseWare Advanced 3mo ago

Lecture 24: Stochastic Calculus

📐 ML Fundamentals

Lecture 24: Stochastic Calculus

MIT OpenCourseWare Beginner 3mo ago

Lecture 25: Stochastic Calculus (cont.); Stochastic Differential Equations

📐 ML Fundamentals

Lecture 25: Stochastic Calculus (cont.); Stochastic Differential Equations

MIT OpenCourseWare Advanced 3mo ago

Class 27 Video: Feature Extraction and Machine Learning

📐 ML Fundamentals

Class 27 Video: Feature Extraction and Machine Learning

MIT OpenCourseWare Beginner 5mo ago

Class 28 Video: Feature Extraction and Machine Learning (II)

📐 ML Fundamentals

Class 28 Video: Feature Extraction and Machine Learning (II)

MIT OpenCourseWare Advanced 5mo ago

Video 29a: Feature Extraction and Machine Learning (III): Artificial Intelligence

📐 ML Fundamentals

Video 29a: Feature Extraction and Machine Learning (III): Artificial Intelligence

MIT OpenCourseWare Beginner 5mo ago

MIT Economist Explains the NFL’s Legal Cartel

📐 ML Fundamentals

MIT Economist Explains the NFL’s Legal Cartel

MIT OpenCourseWare Intermediate 6mo ago

Lecture 19: Fundamental Theorem of Calculus

📐 ML Fundamentals

Lecture 19: Fundamental Theorem of Calculus

MIT OpenCourseWare Intermediate 6mo ago

Lecture 5: Sums

📐 ML Fundamentals

Lecture 5: Sums

MIT OpenCourseWare Advanced 8mo ago

“Why so many cereals?" - The economics of competition

📐 ML Fundamentals

“Why so many cereals?" - The economics of competition

MIT OpenCourseWare Beginner 8mo ago

LeBron vs. Lawncare: Why It’s All About Trade-Offs

📐 ML Fundamentals

LeBron vs. Lawncare: Why It’s All About Trade-Offs

MIT OpenCourseWare Intermediate 9mo ago

What is "rubber duck debugging?"

📐 ML Fundamentals

What is "rubber duck debugging?"

MIT OpenCourseWare Beginner 10mo ago

What is "rubber duck debugging?"

📐 ML Fundamentals

What is "rubber duck debugging?"

MIT OpenCourseWare Beginner 10mo ago