Foundations

ML Fundamentals

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

8508
lessons
Python Machine Learning & AI Mega Course - Learn 4 Different Areas of ML & AI
📐 ML Fundamentals
Python Machine Learning & AI Mega Course - Learn 4 Different Areas of ML & AI
Tech With Tim Beginner 6y ago
Decision Tree in Python Part 2/2 - Machine Learning From Scratch 09 - Python Tutorial
📐 ML Fundamentals
Decision Tree in Python Part 2/2 - Machine Learning From Scratch 09 - Python Tutorial
Patrick Loeber Beginner 6y ago
Decision Tree in Python Part 1/2 - Machine Learning From Scratch 08 - Python Tutorial
📐 ML Fundamentals
Decision Tree in Python Part 1/2 - Machine Learning From Scratch 08 - Python Tutorial
Patrick Loeber Beginner 6y ago
AI is Industrializing Discovery
📐 ML Fundamentals
AI is Industrializing Discovery
a16z Beginner 6y ago
What are the Prerequisites To Learn Data Science
📐 ML Fundamentals
What are the Prerequisites To Learn Data Science
Krish Naik Beginner 6y ago
Introduction aux réseaux neuronaux convolutionnel (Coding TensorFlow en français)
📐 ML Fundamentals
Introduction aux réseaux neuronaux convolutionnel (Coding TensorFlow en français)
TensorFlow Beginner 6y ago
Introduction à l'apprentissage automatique (Coding TensorFlow en français)
📐 ML Fundamentals
Introduction à l'apprentissage automatique (Coding TensorFlow en français)
TensorFlow Beginner 6y ago
Top 5 Technology To Learn in 2020
📐 ML Fundamentals
Top 5 Technology To Learn in 2020
Krish Naik Beginner 6y ago
Machine Learning Tutorial Python - 15:  Naive Bayes Classifier Algorithm Part 2
📐 ML Fundamentals
Machine Learning Tutorial Python - 15: Naive Bayes Classifier Algorithm Part 2
codebasics Beginner 6y ago
Elon Musk: Brain Computer Interfaces - Machine Learning and Neuroplasticity
📐 ML Fundamentals
Elon Musk: Brain Computer Interfaces - Machine Learning and Neuroplasticity
Lex Fridman Beginner 6y ago
TWed Talk: Jim McCusker, "OWL at the Crossroads Set Theory, Graph Theory, Logic, and Computability"
📐 ML Fundamentals
TWed Talk: Jim McCusker, "OWL at the Crossroads Set Theory, Graph Theory, Logic, and Computability"
Tetherless World Beginner 6y ago
Cryptography: Hill Cipher Python
📐 ML Fundamentals
Cryptography: Hill Cipher Python
Aladdin Persson Beginner 6y ago
Quotes #5 on Big Data and Data Science
📐 ML Fundamentals
Quotes #5 on Big Data and Data Science
Data Professor Beginner 6y ago
Cryptography: Vigenere Cipher Python
📐 ML Fundamentals
Cryptography: Vigenere Cipher Python
Aladdin Persson Beginner 6y ago
Let's make an AI that destroys video games: Crash Course AI #13
📐 ML Fundamentals
Let's make an AI that destroys video games: Crash Course AI #13
CrashCourse Beginner 6y ago
What Does it Mean for a Machine to "Understand"? with Thomas Dietterich - #315
📐 ML Fundamentals
What Does it Mean for a Machine to "Understand"? with Thomas Dietterich - #315
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
Dart Static Extension Methods - Dart 2.6
📐 ML Fundamentals
Dart Static Extension Methods - Dart 2.6
Tensor Programming Beginner 6y ago
PyTorch at Dolby Labs - Vivek Kumar, Dolby Labs
📐 ML Fundamentals
PyTorch at Dolby Labs - Vivek Kumar, Dolby Labs
PyTorch Beginner 6y ago
PyTorch at Microsoft - Saurabh Tiwary, Microsoft
📐 ML Fundamentals
PyTorch at Microsoft - Saurabh Tiwary, Microsoft
PyTorch Beginner 6y ago
First Time on the Internet (Internet at 50) - Computerphile
📐 ML Fundamentals
First Time on the Internet (Internet at 50) - Computerphile
Computerphile Beginner 6y ago
Quotes #4 on Big Data and Data Science
📐 ML Fundamentals
Quotes #4 on Big Data and Data Science
Data Professor Beginner 6y ago
Scaling TensorFlow at LinkedIn with Jonathan Hung - #314
📐 ML Fundamentals
Scaling TensorFlow at LinkedIn with Jonathan Hung - #314
The TWIML AI Podcast with Sam Charrington Beginner 6y ago
AI Playing Games: Crash Course AI #12
📐 ML Fundamentals
AI Playing Games: Crash Course AI #12
CrashCourse Beginner 6y ago
Expressions versus statements? The future of functional programming (with Steve Krouse)
📐 ML Fundamentals
Expressions versus statements? The future of functional programming (with Steve Krouse)
Fun Fun Function Beginner 6y ago
Introdução às redes neurais convolucionais (ML de Zero a 100, parte 3)
📐 ML Fundamentals
Introdução às redes neurais convolucionais (ML de Zero a 100, parte 3)
TensorFlow Beginner 6y ago
Visão computacional básica com Machine Learning (ML de Zero a 100, parte 2)
📐 ML Fundamentals
Visão computacional básica com Machine Learning (ML de Zero a 100, parte 2)
TensorFlow Beginner 6y ago
Introdução ao Machine Learning (ML de Zero a 100, parte 1)
📐 ML Fundamentals
Introdução ao Machine Learning (ML de Zero a 100, parte 1)
TensorFlow Beginner 6y ago
Construa um classificador de imagens (ML de Zero a 100, parte 4)
📐 ML Fundamentals
Construa um classificador de imagens (ML de Zero a 100, parte 4)
TensorFlow Beginner 6y ago
Jeff Dean discusses the future of machine learning at TF World ‘19 (TensorFlow Meets)
📐 ML Fundamentals
Jeff Dean discusses the future of machine learning at TF World ‘19 (TensorFlow Meets)
TensorFlow Beginner 6y ago
Tutorial 24- Max Pooling Layer In CNN
📐 ML Fundamentals
Tutorial 24- Max Pooling Layer In CNN
Krish Naik Beginner 6y ago
Tutorial 23- Operation Of CNN(CNN vs ANN)
📐 ML Fundamentals
Tutorial 23- Operation Of CNN(CNN vs ANN)
Krish Naik Beginner 6y ago
Reverse Engineering -An Efficient Way To Learn Machine Learning
📐 ML Fundamentals
Reverse Engineering -An Efficient Way To Learn Machine Learning
Krish Naik Beginner 6y ago
Cryptography: Caesar Cipher Python
📐 ML Fundamentals
Cryptography: Caesar Cipher Python
Aladdin Persson Beginner 6y ago
Machine Learning Researcher Vs Data Scientist
📐 ML Fundamentals
Machine Learning Researcher Vs Data Scientist
Krish Naik Beginner 6y ago
PyTorch at Uber - Sidney Zhang, Uber
📐 ML Fundamentals
PyTorch at Uber - Sidney Zhang, Uber
PyTorch Beginner 6y ago
Privacy Preserving AI - Andrew Trask, OpenMined
📐 ML Fundamentals
Privacy Preserving AI - Andrew Trask, OpenMined
PyTorch Beginner 6y ago
Linear Algebra in PyTorch - Vishwak Srinivasan, CMU
📐 ML Fundamentals
Linear Algebra in PyTorch - Vishwak Srinivasan, CMU
PyTorch Beginner 6y ago
PyTorch Front-End Features: Named Tensors and Type Promotion - Gregory Chanan
📐 ML Fundamentals
PyTorch Front-End Features: Named Tensors and Type Promotion - Gregory Chanan
PyTorch Beginner 6y ago
Business Analyst Vs Data Analyst
📐 ML Fundamentals
Business Analyst Vs Data Analyst
Krish Naik Beginner 6y ago
Quotes #3 on Big Data and Data Science
📐 ML Fundamentals
Quotes #3 on Big Data and Data Science
Data Professor Beginner 6y ago
Skillset Data Scientist, Data Engineer and Domain Expertise Should Be Strong At
📐 ML Fundamentals
Skillset Data Scientist, Data Engineer and Domain Expertise Should Be Strong At
Krish Naik Beginner 6y ago
Tutorial 19-  Python Iterables vs Iterators
📐 ML Fundamentals
Tutorial 19- Python Iterables vs Iterators
Krish Naik Beginner 6y ago
Top 5 Programming Language To Learn in 2020
📐 ML Fundamentals
Top 5 Programming Language To Learn in 2020
Krish Naik Beginner 6y ago
Tutorial 18- Python Advanced String Formatting
📐 ML Fundamentals
Tutorial 18- Python Advanced String Formatting
Krish Naik Beginner 6y ago
Tutorial 17- Python List Comprehension
📐 ML Fundamentals
Tutorial 17- Python List Comprehension
Krish Naik Beginner 6y ago
Neural structured learning in TensorFlow (TF World '19)
📐 ML Fundamentals
Neural structured learning in TensorFlow (TF World '19)
TensorFlow Beginner 6y ago
TensorFlow World 2019 | Day 2 Livestream PM
📐 ML Fundamentals
TensorFlow World 2019 | Day 2 Livestream PM
TensorFlow Beginner 6y ago
TensorFlow Lite: Solution for running ML on-device (TF World '19)
📐 ML Fundamentals
TensorFlow Lite: Solution for running ML on-device (TF World '19)
TensorFlow Beginner 6y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Mathematics for Machine Learning: PCA
📚 Coursera Course ↗
Self-paced
Mathematics for Machine Learning: PCA
Opens on Coursera ↗
Foundations of Statistical Learning & Algorithms
📚 Coursera Course ↗
Self-paced
Foundations of Statistical Learning & Algorithms
Opens on Coursera ↗
AI Workflow: AI in Production
📚 Coursera Course ↗
Self-paced
AI Workflow: AI in Production
Opens on Coursera ↗
Learning TensorFlow: the Hello World of Machine Learning
📚 Coursera Course ↗
Self-paced
Learning TensorFlow: the Hello World of Machine Learning
Opens on Coursera ↗
Linear Algebra: Orthogonality and Diagonalization
📚 Coursera Course ↗
Self-paced
Linear Algebra: Orthogonality and Diagonalization
Opens on Coursera ↗
Training AI with Humans
📚 Coursera Course ↗
Self-paced
Training AI with Humans
Opens on Coursera ↗