Foundations

ML Fundamentals

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

11,332
lessons
Skills in this topic
View full skill map →
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
Realistic avatars with Hallway face motion capture - Made with TensorFlow.js
ML Fundamentals ⚡ AI Lesson
Realistic avatars with Hallway face motion capture - Made with TensorFlow.js
TensorFlow Beginner 3y ago
How to Build a Deep Learning Machine - Everything You Need To Know
ML Fundamentals
How to Build a Deep Learning Machine - Everything You Need To Know
Aleksa Gordić - The AI Epiphany Beginner 3y ago
Self-Driving Cars: How ML Algorithms are building a Driver-less Future | DataHour | #MachineLearning
ML Fundamentals
Self-Driving Cars: How ML Algorithms are building a Driver-less Future | DataHour | #MachineLearning
Analytics Vidhya Beginner 3y ago
Entri Elevate Supply Anthem ft.  @ShabareeshVarmaOfficial| @officialFejo| Varkey
ML Fundamentals
Entri Elevate Supply Anthem ft. @ShabareeshVarmaOfficial| @officialFejo| Varkey
Entri Coding മലയാളം Beginner 3y ago
Synthetic Dataset Creation for Machine Learning - Blender and Python
ML Fundamentals
Synthetic Dataset Creation for Machine Learning - Blender and Python
Rob Mulla Beginner 3y ago
Every Distance in Data Science (Almost 100K Subs!)
ML Fundamentals ⚡ AI Lesson
Every Distance in Data Science (Almost 100K Subs!)
ritvikmath Beginner 3y ago
Introduction to Positive Unlabeled (PU) Learning | DataHour | Analytics Vidhya
ML Fundamentals
Introduction to Positive Unlabeled (PU) Learning | DataHour | Analytics Vidhya
Analytics Vidhya Beginner 3y ago
Bias and Variance, Simplified
ML Fundamentals
Bias and Variance, Simplified
Underfitted Beginner 3y ago
Never Trust an AI Demo
ML Fundamentals ⚡ AI Lesson
Never Trust an AI Demo
The TWIML AI Podcast with Sam Charrington Beginner 3y ago
Less Profit, More Humanity in Startup Culture
ML Fundamentals ⚡ AI Lesson
Less Profit, More Humanity in Startup Culture
The TWIML AI Podcast with Sam Charrington Beginner 3y ago
ML for everyone with Kemu - Made with TensorFlow.js
ML Fundamentals ⚡ AI Lesson
ML for everyone with Kemu - Made with TensorFlow.js
TensorFlow Beginner 3y ago
How to setup python in your system - Part 2 | Python Malayalam Tutorial For Beginners| Entri Elevate
ML Fundamentals
How to setup python in your system - Part 2 | Python Malayalam Tutorial For Beginners| Entri Elevate
Entri Coding മലയാളം Beginner 3y ago
BITS Pilani BSc Computer Science Online Programme Admissions Webinar
ML Fundamentals
BITS Pilani BSc Computer Science Online Programme Admissions Webinar
Coursera Beginner 3y ago
Logistic Regression - Is it Linear Regression?
ML Fundamentals ⚡ AI Lesson
Logistic Regression - Is it Linear Regression?
CodeEmporium Beginner 3y ago
Stanford Seminar - ML Explainability Part 3 I Post hoc Explanation Methods
ML Fundamentals
Stanford Seminar - ML Explainability Part 3 I Post hoc Explanation Methods
Stanford Online Beginner 3y ago
AI Just Solved a 53-Year-Old Problem! | AlphaTensor, Explained
ML Fundamentals
AI Just Solved a 53-Year-Old Problem! | AlphaTensor, Explained
Underfitted Beginner 3y ago
Stanford Seminar - ML Explainability Part 2 I Inherently Interpretable Models
ML Fundamentals
Stanford Seminar - ML Explainability Part 2 I Inherently Interpretable Models
Stanford Online Beginner 3y ago
Now Developing Your Deep Learning Application Is Easy Using Neurolab
ML Fundamentals
Now Developing Your Deep Learning Application Is Easy Using Neurolab
Krish Naik Beginner 3y ago
AI vs Spinner
ML Fundamentals
AI vs Spinner
AI Warehouse Beginner 3y ago
Track Your PyTorch Machine Learning Experiments with Weights & Biases
ML Fundamentals
Track Your PyTorch Machine Learning Experiments with Weights & Biases
Weights & Biases Beginner 3y ago
Happy Halloween (Neural Networks Are Not Scary)
ML Fundamentals
Happy Halloween (Neural Networks Are Not Scary)
StatQuest with Josh Starmer Beginner 3y ago
AI Agent Learns to Escape (deep reinforcement learning)
ML Fundamentals
AI Agent Learns to Escape (deep reinforcement learning)
AI Warehouse Beginner 3y ago
If Top Chess.com Players were STOCKS - Live Coding Data Anaylsis Stream
ML Fundamentals ⚡ AI Lesson
If Top Chess.com Players were STOCKS - Live Coding Data Anaylsis Stream
Rob Mulla Beginner 3y ago
I tried building a AUTO MACHINE LEARNING Web App 15 Minutes
ML Fundamentals
I tried building a AUTO MACHINE LEARNING Web App 15 Minutes
Nicholas Renotte Beginner 3y ago
Lightning talks: AI in life sciences
ML Fundamentals ⚡ AI Lesson
Lightning talks: AI in life sciences
Microsoft Research Beginner 3y ago
Gradio Crash Course - Fastest way to build & share Machine Learning apps
ML Fundamentals
Gradio Crash Course - Fastest way to build & share Machine Learning apps
AssemblyAI Beginner 3y ago
Create and Deploy Custom AI Models with NVIDIA TAO on Azure ML
ML Fundamentals
Create and Deploy Custom AI Models with NVIDIA TAO on Azure ML
NVIDIA Developer Beginner 3y ago
Tribal Marketing
ML Fundamentals ⚡ AI Lesson
Tribal Marketing
Data Skeptic Beginner 3y ago
Voice and Language Tech // Catherin Breslin // Coffee Sessions #129
ML Fundamentals ⚡ AI Lesson
Voice and Language Tech // Catherin Breslin // Coffee Sessions #129
MLOps.community Beginner 3y ago
Making AI work for Business | DataHour | Analytics Vidhya
ML Fundamentals
Making AI work for Business | DataHour | Analytics Vidhya
Analytics Vidhya Beginner 3y ago
Introduction to Python - Part 1 | Python Malayalam Tutorial For Beginners | Entri Elevate
ML Fundamentals
Introduction to Python - Part 1 | Python Malayalam Tutorial For Beginners | Entri Elevate
Entri Coding മലയാളം Beginner 3y ago
The Great MLOps Debate End to End ML Platforms vs Specialized Tools - #597
ML Fundamentals ⚡ AI Lesson
The Great MLOps Debate End to End ML Platforms vs Specialized Tools - #597
The TWIML AI Podcast with Sam Charrington Beginner 3y ago
Introduction to Classification using Azure Machine Learning | DataHour | Analytics Vidhya
ML Fundamentals
Introduction to Classification using Azure Machine Learning | DataHour | Analytics Vidhya
Analytics Vidhya Beginner 3y ago
Stanford CS330: Deep Multi-Task & Meta Learning I 2021 I Lecture 18
ML Fundamentals
Stanford CS330: Deep Multi-Task & Meta Learning I 2021 I Lecture 18
Stanford Online Beginner 3y ago
Stanford CS330: Deep Multi-Task & Meta Learning I 2021 I Lecture 17
ML Fundamentals
Stanford CS330: Deep Multi-Task & Meta Learning I 2021 I Lecture 17
Stanford Online Beginner 3y ago
8 Mistakes Holding Your Career Back | Machine Learning
ML Fundamentals
8 Mistakes Holding Your Career Back | Machine Learning
Underfitted Beginner 3y ago
Solving any Machine Learning Problem | Approach and Steps Involved
ML Fundamentals
Solving any Machine Learning Problem | Approach and Steps Involved
Analytics Vidhya Beginner 3y ago
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 16
ML Fundamentals
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 16
Stanford Online Beginner 3y ago
Entri Elevate Meet Up | Entri Codecast
ML Fundamentals
Entri Elevate Meet Up | Entri Codecast
Entri Coding മലയാളം Beginner 3y ago
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 15
ML Fundamentals
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 15
Stanford Online Beginner 3y ago
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 14
ML Fundamentals ⚡ AI Lesson
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 14
Stanford Online Beginner 3y ago
Grocery store recommendation systems with HarperDB and Web ML - Made with TensorFlow.js
ML Fundamentals ⚡ AI Lesson
Grocery store recommendation systems with HarperDB and Web ML - Made with TensorFlow.js
TensorFlow Beginner 3y ago
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 13
ML Fundamentals
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 13
Stanford Online Beginner 3y ago
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 12
ML Fundamentals ⚡ AI Lesson
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 12
Stanford Online Beginner 3y ago
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 11
ML Fundamentals ⚡ AI Lesson
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 11
Stanford Online Beginner 3y ago
TensorFlow.js Community "Show & Tell" #8
ML Fundamentals ⚡ AI Lesson
TensorFlow.js Community "Show & Tell" #8
TensorFlow Beginner 3y ago
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 10
ML Fundamentals
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 10
Stanford Online Beginner 3y ago
Ensemble Techniques in Machine Learning #machinelearning #ensemble #datascience
ML Fundamentals
Ensemble Techniques in Machine Learning #machinelearning #ensemble #datascience
Analytics Vidhya Beginner 3y ago
📚 Coursera Courses Opens on Coursera · Free to audit
1 / 3 View all →
Optimize Deep Learning Models for Peak AI
📚 Coursera Course ↗
Self-paced
Optimize Deep Learning Models for Peak AI
Opens on Coursera ↗
Customising your models with TensorFlow 2
📚 Coursera Course ↗
Self-paced
Customising your models with TensorFlow 2
Opens on Coursera ↗
Preparing Images for AI Models
📚 Coursera Course ↗
Self-paced
Preparing Images for AI Models
Opens on Coursera ↗
Machine Learning for Healthcare Professionals
📚 Coursera Course ↗
Self-paced
Machine Learning for Healthcare Professionals
Opens on Coursera ↗
Linear Algebra: Orthogonality and Diagonalization
📚 Coursera Course ↗
Self-paced
Linear Algebra: Orthogonality and Diagonalization
Opens on Coursera ↗
Optimizing and Deploying Computer Vision Models
📚 Coursera Course ↗
Self-paced
Optimizing and Deploying Computer Vision Models
Opens on Coursera ↗