📐 ML Fundamentals

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

ML Fundamentals

20. Precision Medicine

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

8. Natural Language Processing (NLP), Part 2

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

25. Interpretability

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

23. Fairness

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

15. Causal Inference, Part 2

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

2. Overview of Clinical Care

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

7. Natural Language Processing (NLP), Part 1

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

12. Machine Learning for Pathology

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

11. Differential Diagnosis

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

16. Reinforcement Learning, Part 1

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

9. Translating Technology Into the Clinic

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

4. Risk Stratification, Part 1

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

6. Physiological Time-Series

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

5. Risk Stratification, Part 2

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

18. Disease Progression Modeling and Subtyping, Part 1

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

17. Reinforcement Learning, Part 2

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

10. Application of Machine Learning to Cardiac Imaging

MIT OpenCourseWare Intermediate 5y ago

ML Fundamentals

Protected Attributes and 'Fairness through Unawareness,' Exploring Fairness in Machine Learning

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

USAID Appropriate Use Framework, Exploring Fairness in Machine Learning

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

Solar Lighting Example, Exploring Fairness in Machine Learning

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

Fairness Criteria, Exploring Fairness in Machine Learning

MIT OpenCourseWare Intermediate 5y ago

ML Fundamentals

Welcome to Girls Who Build Cameras, Summer 2016

MIT OpenCourseWare Intermediate 5y ago

ML Fundamentals

14: Rate Models and Perceptrons - Intro to Neural Computation

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

1. Artificial Intelligence and Machine Learning

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

2. Cyber Network Data Processing; AI Data Architecture

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

Intro: A New Way to Start Linear Algebra

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

Part 1: The Column Space of a Matrix

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

Part 5: Singular Values and Singular Vectors

MIT OpenCourseWare Beginner 5y ago

ML Fundamentals

Part 4: Eigenvalues and Eigenvectors

MIT OpenCourseWare Intermediate 5y ago

ML Fundamentals

Part 3: Orthogonal Vectors

MIT OpenCourseWare Intermediate 5y ago

ML Fundamentals

Part 2: The Big Picture of Linear Algebra

MIT OpenCourseWare Intermediate 5y ago

ML Fundamentals

Making Deep Learning Human with Prof. Gilbert Strang (S1:E3)

MIT OpenCourseWare Beginner 6y ago

ML Fundamentals

1. Introduction for 15.S12 Blockchain and Money, Fall 2018

MIT OpenCourseWare Beginner 6y ago

ML Fundamentals

3. Blockchain Basics & Cryptography

MIT OpenCourseWare Beginner 6y ago

ML Fundamentals

21. Post Trade Clearing, Settlement & Processing

MIT OpenCourseWare Intermediate 6y ago

51:31

ML Fundamentals

11. Introduction to Machine Learning

MIT OpenCourseWare Beginner 8y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Data Prep for Machine Learning in Python

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Bracketology with Google Machine Learning

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Evaluate Vision Errors: Identify Failure Patterns

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Introduction to Image Generation - Deutsch

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Big Data, Artificial Intelligence, and Ethics

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Master Decision Trees in R: Build, Predict & Evaluate

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AWS Certified Machine Learning - Specialty

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Build & Optimize TensorFlow ML Workflows

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Capstone: Data Science Problem in Linear Algebra Framework

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Introduction to High-Performance and Parallel Computing

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Physics of Oscillators and Waves

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Machine Learning for Medical Data

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Computational Social Science Methods

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Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Português Brasileiro

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Building and Training Neural Networks with PyTorch

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Probabilistic Graphical Models 2: Inference

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Introduction to Open Source Application Development

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State Estimation and Localization for Self-Driving Cars

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