✕ Clear filters
10,603 lessons

📐 ML Fundamentals

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

All ▶ YouTube 185,224📚 Coursera 16,562
6.5: Dealing with edge cases in spam detection
ML Fundamentals
6.5: Dealing with edge cases in spam detection
Google for Developers Intermediate 3y ago
6.6: Using a retrained spam detection model in the web browser with TensorFlow.js
ML Fundamentals
6.6: Using a retrained spam detection model in the web browser with TensorFlow.js
Google for Developers Beginner 3y ago
Front End vs Back End - Which one is good for you ? | Entri Elevate
ML Fundamentals
Front End vs Back End - Which one is good for you ? | Entri Elevate
Entri Coding മലയാളം Beginner 3y ago
How to Build a Full-Stack Recommender System
ML Fundamentals ⚡ AI Lesson
How to Build a Full-Stack Recommender System
Outerbounds Beginner 3y ago
The Importance of Connecting Data Science Projects to Business Goals
ML Fundamentals
The Importance of Connecting Data Science Projects to Business Goals
MLOps.community Beginner 3y ago
C4AI Sparks: Rosanne Liu on Career Creation for Non-Standard Candidates
ML Fundamentals ⚡ AI Lesson
C4AI Sparks: Rosanne Liu on Career Creation for Non-Standard Candidates
Cohere Intermediate 3y ago
Can We Earn More From FreeLancing Than Full time Jobs? Steps To Start Your Free Lancing Career
ML Fundamentals
Can We Earn More From FreeLancing Than Full time Jobs? Steps To Start Your Free Lancing Career
Krish Naik Beginner 3y ago
Evolution of Infrastructure in Machine Learning // Simon Thompson // MLOps Shorts
ML Fundamentals
Evolution of Infrastructure in Machine Learning // Simon Thompson // MLOps Shorts
MLOps.community Beginner 3y ago
Legacy Code Conversion - Computerphile
ML Fundamentals ⚡ AI Lesson
Legacy Code Conversion - Computerphile
Computerphile Intermediate 3y ago
PyTorch Lightning #1 - Why Lightning?
ML Fundamentals
PyTorch Lightning #1 - Why Lightning?
Aladdin Persson Beginner 3y ago
The Confusion Matrix : Data Science Basics
ML Fundamentals ⚡ AI Lesson
The Confusion Matrix : Data Science Basics
ritvikmath Beginner 3y ago
Mathematics required for Data Science? | Machine Learning #shorts
ML Fundamentals
Mathematics required for Data Science? | Machine Learning #shorts
Analytics Vidhya Beginner 3y ago
What is MLOps and how to get started? | MLOps series
ML Fundamentals ⚡ AI Lesson
What is MLOps and how to get started? | MLOps series
Aleksa Gordić - The AI Epiphany Beginner 3y ago
Google Cloud Retail Search and Browse Console deep dive
ML Fundamentals
Google Cloud Retail Search and Browse Console deep dive
Google Cloud Beginner 3y ago
Deploying Models for Sentiment Analysis on Cloud | DataHour by Prashant Sahu
ML Fundamentals
Deploying Models for Sentiment Analysis on Cloud | DataHour by Prashant Sahu
Analytics Vidhya Intermediate 3y ago
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
TensorFlow.js Community "Show & Tell" #9
ML Fundamentals ⚡ AI Lesson
TensorFlow.js Community "Show & Tell" #9
TensorFlow Intermediate 3y ago
Multi Head Attention in Transformer Neural Networks with Code!
ML Fundamentals ⚡ AI Lesson
Multi Head Attention in Transformer Neural Networks with Code!
CodeEmporium Beginner 3y ago
The Most Important Curve in Data Science
ML Fundamentals
The Most Important Curve in Data Science
ritvikmath Intermediate 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
Toxicity Classifier using Machine Learning and NLP
ML Fundamentals ⚡ AI Lesson
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
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
6.1: Using models from Python in the web browser with TensorFlow.js
ML Fundamentals
6.1: Using models from Python in the web browser with TensorFlow.js
Google for Developers Advanced 3y ago
6.2: Converting Python saved models with the TensorFlow.js command line converter
ML Fundamentals
6.2: Converting Python saved models with the TensorFlow.js command line converter
Google for Developers Intermediate 3y ago
Recognize custom objects with TensorFlow.js.
ML Fundamentals
Recognize custom objects with TensorFlow.js.
Google for Developers Beginner 3y ago
5.3: Using layers models for transfer learning
ML Fundamentals
5.3: Using layers models for transfer learning
Google for Developers Beginner 3y ago
5.1: Transfer learning:  Retraining existing models in the web browser with TensorFlow.js
ML Fundamentals
5.1: Transfer learning: Retraining existing models in the web browser with TensorFlow.js
Google for Developers 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
4.7.2: Beyond perceptrons: Convolutional Neural Network (CNNs) - Implementation with TensorFlow.js
ML Fundamentals
4.7.2: Beyond perceptrons: Convolutional Neural Network (CNNs) - Implementation with TensorFlow.js
Google for Developers Intermediate 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
4.6.2: Multi-layer perceptrons for classification -  Implementing a classifier in TensorFlow.js
ML Fundamentals
4.6.2: Multi-layer perceptrons for classification - Implementing a classifier in TensorFlow.js
Google for Developers Intermediate 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
4.4.2: Implement a neuron for linear regression - Importing and normalizing training data
ML Fundamentals
4.4.2: Implement a neuron for linear regression - Importing and normalizing training data
Google for Developers Intermediate 3y ago
4.4.1: Implement a neuron for linear regression - Training data and outliers
ML Fundamentals
4.4.1: Implement a neuron for linear regression - Training data and outliers
Google for Developers Intermediate 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
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
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
How To Build Ideas For Real World Data Science Projects For Interviews
ML Fundamentals
How To Build Ideas For Real World Data Science Projects For Interviews
Krish Naik Intermediate 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
Overfitting in Decision Trees #shorts #datascience
ML Fundamentals
Overfitting in Decision Trees #shorts #datascience
Analytics Vidhya Intermediate 3y ago
4.1: Rolling your own Web ML models from a blank canvas
ML Fundamentals
4.1: Rolling your own Web ML models from a blank canvas
Google for Developers Intermediate 3y ago