📐 ML Fundamentals

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

ML Fundamentals

Lecture 4: Sedimentary Structures Produced by Sediment Transport

MIT OpenCourseWare Beginner 3w ago

ML Fundamentals

Lecture 1: Fluid Dynamics

MIT OpenCourseWare Beginner 3w ago

ML Fundamentals

Lecture 2: Mechanics of Sediment Transport

MIT OpenCourseWare Beginner 3w ago

ML Fundamentals

Lecture 3: Bed Forms

MIT OpenCourseWare Beginner 3w ago

ML Fundamentals ⚡ AI Lesson

18: Object Recognition (cont'd), Texture Perception

MIT OpenCourseWare Intermediate 2mo ago

ML Fundamentals ⚡ AI Lesson

Session 11: Gas Exchange Across the Air-sea Interface

MIT OpenCourseWare Intermediate 2mo ago

ML Fundamentals ⚡ AI Lesson

Session 17: Sinking Particles and Remineralization (2)

MIT OpenCourseWare Intermediate 2mo ago

ML Fundamentals ⚡ AI Lesson

Session 10: Non-conservative Processes in Estuaries/ Groundwater/Hydrothermal

MIT OpenCourseWare Intermediate 2mo ago

ML Fundamentals ⚡ AI Lesson

Session 14: Primary Production (2)

MIT OpenCourseWare Intermediate 2mo ago

ML Fundamentals

Lec 05. Architectures: Graphs

MIT OpenCourseWare Beginner 4mo ago

ML Fundamentals

Lec 09. Hacker's Guide to Deep Learning

MIT OpenCourseWare Beginner 4mo ago

ML Fundamentals

Lec 16. Generative Models: Conditional Models

MIT OpenCourseWare Beginner 4mo ago

ML Fundamentals

Lec 15. Generative Models: Representation Learning Meets Generative Modeling

MIT OpenCourseWare Beginner 4mo ago

ML Fundamentals

Lec 04. Architectures: Grids

MIT OpenCourseWare Beginner 4mo ago

ML Fundamentals

Lec 02. How to Train a Neural Net

MIT OpenCourseWare Beginner 4mo ago

ML Fundamentals

Lec 17. Generalization: Out-of-Distribution (OOD)

MIT OpenCourseWare Beginner 4mo ago

ML Fundamentals

Lec 01. Introduction to Deep Learning

MIT OpenCourseWare Beginner 4mo ago

ML Fundamentals ⚡ AI Lesson

Lec 20. Scaling Laws

MIT OpenCourseWare Beginner 4mo ago

ML Fundamentals

Lec 13. Representation Learning: Theory

MIT OpenCourseWare Beginner 4mo ago

ML Fundamentals ⚡ AI Lesson

Lec 10. Architectures: Memory

MIT OpenCourseWare Beginner 4mo ago

ML Fundamentals

Lec 11. Representation Learning: Reconstruction-Based

MIT OpenCourseWare Beginner 4mo ago

ML Fundamentals

Lec 14. Generative Models: Basics

MIT OpenCourseWare Beginner 4mo ago

ML Fundamentals ⚡ AI Lesson

Lec 03. Approximation Theory

MIT OpenCourseWare Beginner 4mo ago

ML Fundamentals

Lec 12. Representation Learning: Similarity-Based

MIT OpenCourseWare Beginner 4mo ago

ML Fundamentals ⚡ AI Lesson

Lec 23. Metrized Deep Learning

MIT OpenCourseWare Advanced 4mo ago

ML Fundamentals

Lec 07. Scaling Rules for Optimization

MIT OpenCourseWare Beginner 4mo ago

ML Fundamentals

Lec 06. Generalization Theory

MIT OpenCourseWare Beginner 4mo ago

ML Fundamentals

PyTorch Tutorial

MIT OpenCourseWare Beginner 4mo ago

ML Fundamentals ⚡ AI Lesson

Lec 18. Transfer Learning: Models

MIT OpenCourseWare Beginner 4mo ago

ML Fundamentals

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

MIT OpenCourseWare Advanced 5mo ago

ML Fundamentals

5: Deep Learning for Natural Language – The Basics

MIT OpenCourseWare Beginner 5mo ago

ML Fundamentals

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

MIT OpenCourseWare Beginner 5mo ago

ML Fundamentals

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

MIT OpenCourseWare Beginner 5mo ago

ML Fundamentals

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

MIT OpenCourseWare Beginner 5mo ago

ML Fundamentals ⚡ AI Lesson

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

MIT OpenCourseWare Beginner 6mo ago

ML Fundamentals

Lecture 23: Introduction to Machine Learning

MIT OpenCourseWare Beginner 6mo ago

ML Fundamentals ⚡ AI Lesson

Lecture 1, Part I: Introduction of the Class

MIT OpenCourseWare Beginner 6mo ago

ML Fundamentals ⚡ AI Lesson

Lecture 2: Linear Algebra

MIT OpenCourseWare Advanced 6mo ago

ML Fundamentals ⚡ AI Lesson

Lecture 24: Stochastic Calculus

MIT OpenCourseWare Beginner 6mo ago

ML Fundamentals ⚡ AI Lesson

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

MIT OpenCourseWare Advanced 6mo ago

ML Fundamentals ⚡ AI Lesson

Class 27 Video: Feature Extraction and Machine Learning

MIT OpenCourseWare Beginner 8mo ago

ML Fundamentals ⚡ AI Lesson

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

MIT OpenCourseWare Advanced 8mo ago

ML Fundamentals

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

MIT OpenCourseWare Beginner 8mo ago

ML Fundamentals

Lecture 19: Fundamental Theorem of Calculus

MIT OpenCourseWare Intermediate 9mo ago

ML Fundamentals

Lecture 5: Sums

MIT OpenCourseWare Advanced 11mo ago

ML Fundamentals

Why Finance is crucial to cancer drug development

MIT OpenCourseWare Intermediate 1y ago

ML Fundamentals

Finance for public good

MIT OpenCourseWare Intermediate 1y ago

ML Fundamentals

The Four Fundamental Subspaces and Least Squares

MIT OpenCourseWare Beginner 1y ago

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Game Development, Data Science, and Machine Learning

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Using Machine Learning in Trading and Finance

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Machine Learning for Healthcare Professionals

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An Introduction to Practical Deep Learning

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Physics of Geometrical and Physical Optics

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Aléatoire : une introduction aux probabilités - Partie 1

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Linear Regression & Supervised Learning in Python

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Introduction to Advanced Calculus

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No-Code Machine Learning Using Amazon AWS SageMaker Canvas

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Python Basics: Create a Guessing Number Game from Scratch

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Capstone Assignment

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Advanced Machine Learning, Big Data, and Deep Learning

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Identify Damaged Car Parts with Vertex AutoML Vision

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Introduction to Data Management

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Optimize Vision Datasets: Augment and Analyze

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AI for Autonomous Vehicles and Robotics

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Advanced Bayesian Methods and Applications

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Trabalhar com Notebooks na Vertex AI

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