✕ Clear filters
13,008 lessons

📐 ML Fundamentals

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

All ▶ YouTube 199,016📚 Coursera 18,129🎤 TED 1
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
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
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
The 3 factors that Determine the success of ML projects
📐 ML Fundamentals
The 3 factors that Determine the success of ML projects
Outerbounds Intermediate 3y ago
Is the premise of data-centric AI flawed?
📐 ML Fundamentals
Is the premise of data-centric AI flawed?
Outerbounds Intermediate 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
The Great MLOps Debate End to End ML Platforms vs Specialized Tools - #597
📐 ML Fundamentals
The Great MLOps Debate End to End ML Platforms vs Specialized Tools - #597
The TWIML AI Podcast with Sam Charrington Beginner 3y ago
Breaking Linear Regression
📐 ML Fundamentals
Breaking Linear Regression
CodeEmporium Advanced 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
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
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
Accelerate deep learning model development with cloud custom environments - AWS Online Tech Talks
📐 ML Fundamentals
Accelerate deep learning model development with cloud custom environments - AWS Online Tech Talks
AWS Developers Intermediate 3y ago
If Top Chess.com Players were STOCKS - Live Coding Data Anaylsis Stream
📐 ML Fundamentals
If Top Chess.com Players were STOCKS - Live Coding Data Anaylsis Stream
Rob Mulla 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
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
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
Lightning talks: AI in life sciences
📐 ML Fundamentals
Lightning talks: AI in life sciences
Microsoft Research Beginner 3y ago
Panel discussion and research talk: Computational advances in climate risk assessment
📐 ML Fundamentals
Panel discussion and research talk: Computational advances in climate risk assessment
Microsoft Research Advanced 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
Entri Elevate Meet Up | Entri Codecast
📐 ML Fundamentals
Entri Elevate Meet Up | Entri Codecast
Entri Coding മലയാളം Beginner 3y ago
Train & deploy your deep learning models with Kubeflow integrated with Amazon SageMaker
📐 ML Fundamentals
Train & deploy your deep learning models with Kubeflow integrated with Amazon SageMaker
AWS Developers Intermediate 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
Markov Decision Processes - Computerphile
📐 ML Fundamentals
Markov Decision Processes - Computerphile
Computerphile Intermediate 3y ago
Grocery store recommendation systems with HarperDB and Web ML - Made with TensorFlow.js
📐 ML Fundamentals
Grocery store recommendation systems with HarperDB and Web ML - Made with TensorFlow.js
TensorFlow Beginner 3y ago
Tribal Marketing
📐 ML Fundamentals
Tribal Marketing
Data Skeptic Beginner 3y ago
Need All Your Help To Test NeuroLabs Coding Platform  Today At 6pm
📐 ML Fundamentals
Need All Your Help To Test NeuroLabs Coding Platform Today At 6pm
Krish Naik Intermediate 3y ago
TensorFlow.js Community "Show & Tell" #8
📐 ML Fundamentals
TensorFlow.js Community "Show & Tell" #8
TensorFlow Beginner 3y ago
Voice and Language Tech // Catherin Breslin // Coffee Sessions #129
📐 ML Fundamentals
Voice and Language Tech // Catherin Breslin // Coffee Sessions #129
MLOps.community Beginner 3y ago
The 4 main tasks in the production ML lifecycle
📐 ML Fundamentals
The 4 main tasks in the production ML lifecycle
Outerbounds Intermediate 3y ago
What even is a 10x ML engineer?
📐 ML Fundamentals
What even is a 10x ML engineer?
Outerbounds Intermediate 3y ago
Why data scientists love and hate notebooks: velocity and validation
📐 ML Fundamentals
Why data scientists love and hate notebooks: velocity and validation
Outerbounds Intermediate 3y ago
ML engineering vs traditional software engineering: similarities and differences
📐 ML Fundamentals
ML engineering vs traditional software engineering: similarities and differences
Outerbounds Intermediate 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
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
Role of Optimization in Machine Learning & Deep Learning | DataHour | Analytics Vidhya
📐 ML Fundamentals
Role of Optimization in Machine Learning & Deep Learning | DataHour | Analytics Vidhya
Analytics Vidhya Intermediate 3y ago
Plenary: The fifth paradigm of scientific discovery [ASL version]
📐 ML Fundamentals
Plenary: The fifth paradigm of scientific discovery [ASL version]
Microsoft Research Advanced 3y ago
Plenary: The fifth paradigm of scientific discovery
📐 ML Fundamentals
Plenary: The fifth paradigm of scientific discovery
Microsoft Research Advanced 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
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 14
Stanford Online Beginner 3y ago
Easily connect your ML models to data lakes using Amazon SageMaker Studio - AWs Online Tech Talk
📐 ML Fundamentals
Easily connect your ML models to data lakes using Amazon SageMaker Studio - AWs Online Tech Talk
AWS Developers Intermediate 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
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
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 11
Stanford Online 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 →
Algoritmos de negociación basados en machine learning​
📚 Coursera Course ↗
Self-paced
Algoritmos de negociación basados en machine learning​
Opens on Coursera ↗
Project on Recommendation Engine - Advanced Book Recommender
📚 Coursera Course ↗
Self-paced
Project on Recommendation Engine - Advanced Book Recommender
Opens on Coursera ↗
Deep Learning & Modern AI Architectures
📚 Coursera Course ↗
Self-paced
Deep Learning & Modern AI Architectures
Opens on Coursera ↗
Réseaux neuronaux et Deep Learning
📚 Coursera Course ↗
Self-paced
Réseaux neuronaux et Deep Learning
Opens on Coursera ↗
Causal Inference
📚 Coursera Course ↗
Self-paced
Causal Inference
Opens on Coursera ↗
Probability & Statistics for Machine Learning & Data Science
📚 Coursera Course ↗
Self-paced
Probability & Statistics for Machine Learning & Data Science
Opens on Coursera ↗