Foundations

ML Fundamentals

Neural networks, backpropagation, gradient descent โ€” the maths behind AI

12,234
lessons
Skills in this topic
View full skill map โ†’
ML Maths Basics
beginner
Manipulate vectors and matrices
Supervised Learning
beginner
Train decision trees, random forests, and neural nets
Unsupervised Learning
intermediate
Apply k-means and DBSCAN clustering
ML Pipelines
intermediate
Engineer features and handle missing data
Stanford XCS224U: NLU I Contextual Word Representations, Part 6: RoBERTa I Spring 2023
ML Fundamentals
Stanford XCS224U: NLU I Contextual Word Representations, Part 6: RoBERTa I Spring 2023
Stanford Online Intermediate 2y ago
Stanford XCS224U: NLU I Contextual Word Representations, Part 5: BERT I Spring 2023
ML Fundamentals โšก AI Lesson
Stanford XCS224U: NLU I Contextual Word Representations, Part 5: BERT I Spring 2023
Stanford Online Intermediate 2y ago
Getting back to tech after a career break!
ML Fundamentals
Getting back to tech after a career break!
Entri Coding เดฎเดฒเดฏเดพเดณเด‚ Beginner 2y ago
Revolutionizing the Future: Unleashing the Power of Mixed Reality
ML Fundamentals โšก AI Lesson
Revolutionizing the Future: Unleashing the Power of Mixed Reality
Entri Coding เดฎเดฒเดฏเดพเดณเด‚ Beginner 2y ago
BentoML Tutorial: Build Production Grade AI Applications
ML Fundamentals
BentoML Tutorial: Build Production Grade AI Applications
Krish Naik Intermediate 2y ago
Which will you take? ๐Ÿ˜
ML Fundamentals
Which will you take? ๐Ÿ˜
Coursera Beginner 2y ago
Position Encodings (Natural Language Processing at UT Austin)
ML Fundamentals โšก AI Lesson
Position Encodings (Natural Language Processing at UT Austin)
Greg Durrett Intermediate 2y ago
Advancing Biology and Medicine with Computer Science and Machine Learning
ML Fundamentals โšก AI Lesson
Advancing Biology and Medicine with Computer Science and Machine Learning
The TWIML AI Podcast with Sam Charrington Beginner 2y ago
Handling Missing Values | Machine Learning | GeeksforGeeks
ML Fundamentals
Handling Missing Values | Machine Learning | GeeksforGeeks
GeeksforGeeks Beginner 2y ago
Reinforcement Learning from scratch
ML Fundamentals
Reinforcement Learning from scratch
Graphics in 5 Minutes Beginner 2y ago
Rohan Successful Transition-Freshers To MLOPS Lead With Equity @PWSkillsTech #datascience #ai
ML Fundamentals
Rohan Successful Transition-Freshers To MLOPS Lead With Equity @PWSkillsTech #datascience #ai
Krish Naik Beginner 2y ago
Learn from anywhere, anytime, on any device.
ML Fundamentals
Learn from anywhere, anytime, on any device.
Coursera Beginner 2y ago
Get Started with NVIDIA TAO Toolkit
ML Fundamentals
Get Started with NVIDIA TAO Toolkit
NVIDIA Developer Beginner 2y ago
Leveraging ML Inference for Generative AI on AWS - AWS ML Heroes in 15
ML Fundamentals
Leveraging ML Inference for Generative AI on AWS - AWS ML Heroes in 15
AWS Developers Intermediate 2y ago
How Important Is Math For Machine Learning?
ML Fundamentals โšก AI Lesson
How Important Is Math For Machine Learning?
Tech With Tim Beginner 2y ago
Keypoint Detection for Measuring Body Size of Giraffes: Enhancing Accuracy and Precision
ML Fundamentals โšก AI Lesson
Keypoint Detection for Measuring Body Size of Giraffes: Enhancing Accuracy and Precision
Microsoft Research Beginner 2y ago
Enterprise Model CI/CD: Webhook Automations for Model Evaluation
ML Fundamentals
Enterprise Model CI/CD: Webhook Automations for Model Evaluation
Weights & Biases Beginner 2y ago
Mastering Multilingual Recommender Systems | Grandmaster Series E9
ML Fundamentals
Mastering Multilingual Recommender Systems | Grandmaster Series E9
NVIDIA Developer Beginner 2y ago
Sentence Embeddings - EXPLAINED!
ML Fundamentals โšก AI Lesson
Sentence Embeddings - EXPLAINED!
CodeEmporium Advanced 2y ago
Income Prediction Machine Learning Project in Python
ML Fundamentals โšก AI Lesson
Income Prediction Machine Learning Project in Python
NeuralNine Intermediate 2y ago
Stanford XCS224U: NLU I Contextual Word Representations, Part 3: Positional Encoding I Spring 2023
ML Fundamentals โšก AI Lesson
Stanford XCS224U: NLU I Contextual Word Representations, Part 3: Positional Encoding I Spring 2023
Stanford Online Intermediate 2y ago
Stanford XCS224U: NLU I Contextual Word Representations, Part 1: Guiding Ideas I Spring 2023
ML Fundamentals
Stanford XCS224U: NLU I Contextual Word Representations, Part 1: Guiding Ideas I Spring 2023
Stanford Online Intermediate 2y ago
Stanford XCS224U: Natural Language Understanding I Homework 1 I Overview: Bake Off
ML Fundamentals โšก AI Lesson
Stanford XCS224U: Natural Language Understanding I Homework 1 I Overview: Bake Off
Stanford Online Beginner 2y ago
Stanford XCS224U: Natural Language Understanding I Course Overview, Part 2 I Spring 2023
ML Fundamentals
Stanford XCS224U: Natural Language Understanding I Course Overview, Part 2 I Spring 2023
Stanford Online Beginner 2y ago
Stanford XCS224U: NLU I Intro & Evolution of Natural Language Understanding, Pt. 1 I  Spring 2023
ML Fundamentals โšก AI Lesson
Stanford XCS224U: NLU I Intro & Evolution of Natural Language Understanding, Pt. 1 I Spring 2023
Stanford Online Beginner 2y ago
Stanford CS229 I Basic concepts in RL, Value iteration, Policy iteration I 2022 I Lecture 17
ML Fundamentals
Stanford CS229 I Basic concepts in RL, Value iteration, Policy iteration I 2022 I Lecture 17
Stanford Online Intermediate 2y ago
Stanford CS229 Machine Learning I Self-supervised learning I 2022 I Lecture 16
ML Fundamentals
Stanford CS229 Machine Learning I Self-supervised learning I 2022 I Lecture 16
Stanford Online Beginner 2y ago
Stanford CS229 Machine Learning I PCA/ICA I 2022 I Lecture 15
ML Fundamentals
Stanford CS229 Machine Learning I PCA/ICA I 2022 I Lecture 15
Stanford Online Beginner 2y ago
Stanford CS229 Machine Learning I Factor Analysis/PCA I 2022 I Lecture 14
ML Fundamentals
Stanford CS229 Machine Learning I Factor Analysis/PCA I 2022 I Lecture 14
Stanford Online Beginner 2y ago
Stanford CS229 Machine Learning I GMM (EM) I 2022 I Lecture 13
ML Fundamentals
Stanford CS229 Machine Learning I GMM (EM) I 2022 I Lecture 13
Stanford Online Beginner 2y ago
Stanford CS229 I K-Means, GMM (non EM), Expectation Maximization I 2022 I Lecture 12
ML Fundamentals โšก AI Lesson
Stanford CS229 I K-Means, GMM (non EM), Expectation Maximization I 2022 I Lecture 12
Stanford Online Intermediate 2y ago
Projjal Transition Story To Data Science With 380% Hike
ML Fundamentals
Projjal Transition Story To Data Science With 380% Hike
Krish Naik Beginner 2y ago
Stanford CS229 Machine Learning I Feature / Model selection, ML Advice I 2022 I Lecture 11
ML Fundamentals โšก AI Lesson
Stanford CS229 Machine Learning I Feature / Model selection, ML Advice I 2022 I Lecture 11
Stanford Online Beginner 2y ago
Stanford CS229 Machine Learning I Bias - Variance, Regularization I 2022 I Lecture 10
ML Fundamentals โšก AI Lesson
Stanford CS229 Machine Learning I Bias - Variance, Regularization I 2022 I Lecture 10
Stanford Online Beginner 2y ago
When your phone knows that your 2023 goal is to change careersโ€ฆ
ML Fundamentals
When your phone knows that your 2023 goal is to change careersโ€ฆ
Coursera Beginner 2y ago
Stanford CS229 Machine Learning I Neural Networks 2 (backprop) I 2022 I Lecture 9
ML Fundamentals
Stanford CS229 Machine Learning I Neural Networks 2 (backprop) I 2022 I Lecture 9
Stanford Online Beginner 2y ago
Not all heroes wear capes.
ML Fundamentals
Not all heroes wear capes.
Coursera Beginner 2y ago
Stanford CS229 Machine Learning I Neural Networks 1 I 2022 I Lecture 8
ML Fundamentals โšก AI Lesson
Stanford CS229 Machine Learning I Neural Networks 1 I 2022 I Lecture 8
Stanford Online Beginner 2y ago
How does a program run? | Step-by-Step Guide
ML Fundamentals
How does a program run? | Step-by-Step Guide
Entri Coding เดฎเดฒเดฏเดพเดณเด‚ Beginner 2y ago
Stanford CS229 Machine Learning I Kernels I 2022 I Lecture 7
ML Fundamentals
Stanford CS229 Machine Learning I Kernels I 2022 I Lecture 7
Stanford Online Beginner 2y ago
Stanford CS229 Machine Learning I Naive Bayes, Laplace Smoothing I 2022 I Lecture 6
ML Fundamentals
Stanford CS229 Machine Learning I Naive Bayes, Laplace Smoothing I 2022 I Lecture 6
Stanford Online Beginner 2y ago
Decoding the Enigma Machine: A Heart-Pounding Thriller
ML Fundamentals
Decoding the Enigma Machine: A Heart-Pounding Thriller
Entri Coding เดฎเดฒเดฏเดพเดณเด‚ Beginner 2y ago
Stanford CS229 Machine Learning I Gaussian discriminant analysis, Naive Bayes I 2022 I Lecture 5
ML Fundamentals โšก AI Lesson
Stanford CS229 Machine Learning I Gaussian discriminant analysis, Naive Bayes I 2022 I Lecture 5
Stanford Online Beginner 2y ago
Stanford CS229 Machine Learning I Exponential family, Generalized Linear Models I 2022 I Lecture 4
ML Fundamentals
Stanford CS229 Machine Learning I Exponential family, Generalized Linear Models I 2022 I Lecture 4
Stanford Online Beginner 2y ago
1 in 4 Entry-Level Professional Certificate completers got a new job.*
ML Fundamentals
1 in 4 Entry-Level Professional Certificate completers got a new job.*
Coursera Beginner 2y ago
Stanford CS229 I Weighted Least Squares, Logistic regression, Newton's Method I 2022 I Lecture 3
ML Fundamentals
Stanford CS229 I Weighted Least Squares, Logistic regression, Newton's Method I 2022 I Lecture 3
Stanford Online Intermediate 2y ago
Go Lang: A Comprehensive Overview
ML Fundamentals
Go Lang: A Comprehensive Overview
Entri Coding เดฎเดฒเดฏเดพเดณเด‚ Beginner 2y ago
Tanisha Transition Story To Data Analytics Industry With 200% Hike
ML Fundamentals
Tanisha Transition Story To Data Analytics Industry With 200% Hike
Krish Naik Beginner 2y ago
๐Ÿ“š Coursera Courses Opens on Coursera ยท Free to audit
1 / 3 View all โ†’
Planning a Machine Learning Project
๐Ÿ“š Coursera Course โ†—
Self-paced
Planning a Machine Learning Project
Opens on Coursera โ†—
SwiftUI - Build Amazing Apps - With Much Less Code
๐Ÿ“š Coursera Course โ†—
Self-paced
SwiftUI - Build Amazing Apps - With Much Less Code
Opens on Coursera โ†—
Computer Vision in Microsoft Azure
๐Ÿ“š Coursera Course โ†—
Self-paced
Computer Vision in Microsoft Azure
Opens on Coursera โ†—
Flask Fundamentals, App Basics, and Food Tracker App
๐Ÿ“š Coursera Course โ†—
Self-paced
Flask Fundamentals, App Basics, and Food Tracker App
Opens on Coursera โ†—
Data Modeling, Transformation, and Serving
๐Ÿ“š Coursera Course โ†—
Self-paced
Data Modeling, Transformation, and Serving
Opens on Coursera โ†—
Four Rare Machine Learning Skills All Data Scientists Need
๐Ÿ“š Coursera Course โ†—
Self-paced
Four Rare Machine Learning Skills All Data Scientists Need
Opens on Coursera โ†—