✕ Clear filters
8,647 lessons

📐 ML Fundamentals

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

All ▶ YouTube 201,477📚 Coursera 18,243🎤 TED 1
Visualize a Neural Net Learning Polynomial Functions
ML Fundamentals
Visualize a Neural Net Learning Polynomial Functions
Automata Learning Lab Beginner 3y ago
DO NOT start your MACHINE LEARNING journey like this...
ML Fundamentals
DO NOT start your MACHINE LEARNING journey like this...
Nicholas Renotte Beginner 3y ago
🔴 LIVE 🔴 Studying Recommender Systems
ML Fundamentals
🔴 LIVE 🔴 Studying Recommender Systems
Aladdin Persson Beginner 3y ago
This is what we mean when we say Google Developer Experts (GDE)
ML Fundamentals
This is what we mean when we say Google Developer Experts (GDE)
Google for Developers Beginner 3y ago
🔴 LIVE 🔴 Studying Recommender Systems (pt. 2)
ML Fundamentals
🔴 LIVE 🔴 Studying Recommender Systems (pt. 2)
Aladdin Persson Beginner 3y ago
4.7.1: Beyond perceptrons: Convolutional Neural Network (CNNs) in the web browser
ML Fundamentals
4.7.1: Beyond perceptrons: Convolutional Neural Network (CNNs) in the web browser
Google for Developers Beginner 3y ago
Multi Head Attention in Transformer Neural Networks with Code!
ML Fundamentals
Multi Head Attention in Transformer Neural Networks with Code!
CodeEmporium Beginner 3y ago
Zero to Hero Programmer in 4 Steps | Entri Elevate
ML Fundamentals
Zero to Hero Programmer in 4 Steps | Entri Elevate
Entri Coding മലയാളം Beginner 3y ago
The Challenges of Integrating Multiple Tasks into One Model in MLOps // Ethan Rosenthal
ML Fundamentals
The Challenges of Integrating Multiple Tasks into One Model in MLOps // Ethan Rosenthal
MLOps.community Beginner 3y ago
Toxicity Classifier using Machine Learning and NLP
ML Fundamentals
Toxicity Classifier using Machine Learning and NLP
AI Anytime Beginner 3y ago
Machine Learning Playlist For Interviews #shorts
ML Fundamentals
Machine Learning Playlist For Interviews #shorts
Krish Naik Beginner 3y ago
Real-time Machine Learning - Challenges and Solution | DataHour by Ved Prakash
ML Fundamentals
Real-time Machine Learning - Challenges and Solution | DataHour by Ved Prakash
Analytics Vidhya Beginner 3y ago
Uncovering Spotify's Secret: How AI is Changing Music! | Entri Elevate
ML Fundamentals
Uncovering Spotify's Secret: How AI is Changing Music! | Entri Elevate
Entri Coding മലയാളം Beginner 3y ago
Stanford Seminar - Incorporating Sample Efficient Monitoring into Learned Autonomy
ML Fundamentals
Stanford Seminar - Incorporating Sample Efficient Monitoring into Learned Autonomy
Stanford Online Beginner 3y ago
A Clip From An Interview With Sarah Catanzaro
ML Fundamentals
A Clip From An Interview With Sarah Catanzaro
Weights & Biases Beginner 3y ago
Sarah Catanzaro And Lukas Biewald Interview
ML Fundamentals
Sarah Catanzaro And Lukas Biewald Interview
Weights & Biases Beginner 3y ago
Build a Deep Learning Model that can LIP READ using Python and Tensorflow | Full Tutorial
ML Fundamentals
Build a Deep Learning Model that can LIP READ using Python and Tensorflow | Full Tutorial
Nicholas Renotte Beginner 3y ago
How to print star pattern in python #shorts #pythonforbeginners
ML Fundamentals
How to print star pattern in python #shorts #pythonforbeginners
Analytics Vidhya Beginner 3y ago
Cheating the Prisoner's Dilemma
ML Fundamentals
Cheating the Prisoner's Dilemma
Underfitted Beginner 3y ago
Advice for Technically Capable People Who Don't Know Where to Start
ML Fundamentals
Advice for Technically Capable People Who Don't Know Where to Start
MLOps.community Beginner 3y ago
Stable Diffusion AI Hairball Inputs - CFG Scale 1 to 30 w/ High Resolution
ML Fundamentals
Stable Diffusion AI Hairball Inputs - CFG Scale 1 to 30 w/ High Resolution
deeplizard Beginner 3y ago
Patience And Practise Is The Key to Learn Anything
ML Fundamentals
Patience And Practise Is The Key to Learn Anything
Krish Naik Beginner 3y ago
Oxford Impact Innovations Finance Programme
ML Fundamentals
Oxford Impact Innovations Finance Programme
Saïd Business School, University of Oxford Beginner 3y ago
A day in life of a data scientist | Data Day Texas | Interview 12 authors/speakers
ML Fundamentals
A day in life of a data scientist | Data Day Texas | Interview 12 authors/speakers
Sophia Yang Beginner 3y ago
Self Attention in Transformer Neural Networks (with Code!)
ML Fundamentals
Self Attention in Transformer Neural Networks (with Code!)
CodeEmporium Beginner 3y ago
Backtesting : Time Series Talk
ML Fundamentals
Backtesting : Time Series Talk
ritvikmath Beginner 3y ago
ML tutorial: How to solve classification problems with TensorFlow and multi-layer perceptrons
ML Fundamentals
ML tutorial: How to solve classification problems with TensorFlow and multi-layer perceptrons
Google for Developers Beginner 3y ago
4.5.2: Multi-layer perceptrons - Deep neural networks for non linear data
ML Fundamentals
4.5.2: Multi-layer perceptrons - Deep neural networks for non linear data
Google for Developers Beginner 3y ago
4.5.1: Multi-layer perceptrons - The limits of a single neuron
ML Fundamentals
4.5.1: Multi-layer perceptrons - The limits of a single neuron
Google for Developers Beginner 3y ago
TensorFlow.js tutorial: A neuron implementation for linear regression
ML Fundamentals
TensorFlow.js tutorial: A neuron implementation for linear regression
Google for Developers Beginner 3y ago
ML tutorial: How to train neurons
ML Fundamentals
ML tutorial: How to train neurons
Google for Developers Beginner 3y ago
4.3.1: What's a neuron?
ML Fundamentals
4.3.1: What's a neuron?
Google for Developers Beginner 3y ago
4.2: Gathering, refining, and using data effectively for ML model datasets
ML Fundamentals
4.2: Gathering, refining, and using data effectively for ML model datasets
Google for Developers Beginner 3y ago
What is Supervised Learning? (in 60 seconds)
ML Fundamentals
What is Supervised Learning? (in 60 seconds)
Aladdin Persson Beginner 3y ago
Latent Dirichlet Allocation Tutorial Python
ML Fundamentals
Latent Dirichlet Allocation Tutorial Python
Aladdin Persson Beginner 3y ago
🔴 LIVE 🔴 CAN WE BUILD A RECOMMENDER SYSTEM???
ML Fundamentals
🔴 LIVE 🔴 CAN WE BUILD A RECOMMENDER SYSTEM???
Aladdin Persson Beginner 3y ago
KNN Algorithm in Machine Learning | K Nearest Neighbor in Python and R |  #datascience
ML Fundamentals
KNN Algorithm in Machine Learning | K Nearest Neighbor in Python and R | #datascience
Analytics Vidhya Beginner 3y ago
How to start Freelancing career in Data Science #shorts #datascience
ML Fundamentals
How to start Freelancing career in Data Science #shorts #datascience
Analytics Vidhya Beginner 3y ago
Difference between Data Scientist and Data Science Manager #shorts #datascience #machinelearning
ML Fundamentals
Difference between Data Scientist and Data Science Manager #shorts #datascience #machinelearning
Analytics Vidhya Beginner 3y ago
Do I need to learn coding to get into Data Science #shorts #datascience
ML Fundamentals
Do I need to learn coding to get into Data Science #shorts #datascience
Analytics Vidhya Beginner 3y ago
Lukas x Amjad: Will Prompt Engineer Become a Job Title?
ML Fundamentals
Lukas x Amjad: Will Prompt Engineer Become a Job Title?
Weights & Biases Beginner 3y ago
Lukas x Amjad: Cool Projects for the Replit x Weights & Biases ML Hackathon
ML Fundamentals
Lukas x Amjad: Cool Projects for the Replit x Weights & Biases ML Hackathon
Weights & Biases Beginner 3y ago
Unlock your full potential with the BlackBelt Plus Program #shorts
ML Fundamentals
Unlock your full potential with the BlackBelt Plus Program #shorts
Analytics Vidhya Beginner 3y ago
Are you using IMAGE PATCHES for your DEEP LEARNING models?
ML Fundamentals
Are you using IMAGE PATCHES for your DEEP LEARNING models?
Nicholas Renotte Beginner 3y ago
Why Beginners Quit Coding | Entri Elevate
ML Fundamentals
Why Beginners Quit Coding | Entri Elevate
Entri Coding മലയാളം Beginner 3y ago
Track Your PyTorch Geometric Machine Learning Experiments with Weights & Biases
ML Fundamentals
Track Your PyTorch Geometric Machine Learning Experiments with Weights & Biases
Weights & Biases Beginner 3y ago
Track Your PyTorch Geometric Machine Learning Experiments with Weights & Biases
ML Fundamentals
Track Your PyTorch Geometric Machine Learning Experiments with Weights & Biases
Weights & Biases Beginner 3y ago
The Use of Rules Engines in Cybersecurity Threat Detection // Jeremy Thomas Jordan // MLOps Shorts
ML Fundamentals
The Use of Rules Engines in Cybersecurity Threat Detection // Jeremy Thomas Jordan // MLOps Shorts
MLOps.community Beginner 3y ago
📚 Coursera Courses Opens on Coursera · Free to audit
1 / 3 View all →
Naive Bayes 101: Resume Selection with Machine Learning
📚 Coursera Course ↗
Self-paced
Naive Bayes 101: Resume Selection with Machine Learning
Opens on Coursera ↗
Building and Training Neural Networks with PyTorch
📚 Coursera Course ↗
Self-paced
Building and Training Neural Networks with PyTorch
Opens on Coursera ↗
Practical Machine Learning without Coding
📚 Coursera Course ↗
Self-paced
Practical Machine Learning without Coding
Opens on Coursera ↗
Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors
📚 Coursera Course ↗
Self-paced
Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors
Opens on Coursera ↗
Automate Cloud Costs & Governance
📚 Coursera Course ↗
Self-paced
Automate Cloud Costs & Governance
Opens on Coursera ↗
Splunk Administration and Advanced Topics
📚 Coursera Course ↗
Self-paced
Splunk Administration and Advanced Topics
Opens on Coursera ↗