✕ Clear filters
10,621 lessons

📐 ML Fundamentals

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

All ▶ YouTube 185,655📚 Coursera 16,648
Roles And Responsibilities Of Devops Engineer- Highest Paid Salary
ML Fundamentals
Roles And Responsibilities Of Devops Engineer- Highest Paid Salary
Krish Naik Intermediate 4y ago
SCIENTIFIC COMPUTING IN PYTORCH | MIKE RUBERRY
ML Fundamentals ⚡ AI Lesson
SCIENTIFIC COMPUTING IN PYTORCH | MIKE RUBERRY
PyTorch Beginner 4y ago
RETHINKING DATA LOADING IN PYTORCH | VITALY FEDYUNIN
ML Fundamentals ⚡ AI Lesson
RETHINKING DATA LOADING IN PYTORCH | VITALY FEDYUNIN
PyTorch Beginner 4y ago
Iterative Closest Point (ICP) - Computerphile
ML Fundamentals ⚡ AI Lesson
Iterative Closest Point (ICP) - Computerphile
Computerphile Intermediate 4y ago
Train a custom object detection model using your data
ML Fundamentals ⚡ AI Lesson
Train a custom object detection model using your data
TensorFlow Beginner 4y ago
ML Drift - How to Identify Issues Before They Become Problems // Amy Hodler // MLOps Meetup #89
ML Fundamentals ⚡ AI Lesson
ML Drift - How to Identify Issues Before They Become Problems // Amy Hodler // MLOps Meetup #89
MLOps.community Beginner 4y ago
NVIDIA’s New AI: Journey Into Virtual Reality!
ML Fundamentals
NVIDIA’s New AI: Journey Into Virtual Reality!
Two Minute Papers Beginner 4y ago
13.3.1 L1-regularized Logistic Regression as Embedded Feature Selection (L13: Feature Selection)
ML Fundamentals
13.3.1 L1-regularized Logistic Regression as Embedded Feature Selection (L13: Feature Selection)
Sebastian Raschka Beginner 4y ago
Amazon SageMaker Studio Lab Tutorial - Free Google Colab Alternative (GPU without Credit Card)
ML Fundamentals
Amazon SageMaker Studio Lab Tutorial - Free Google Colab Alternative (GPU without Credit Card)
1littlecoder Beginner 4y ago
The Unreasonable Effectiveness of Bayesian Prediction
ML Fundamentals
The Unreasonable Effectiveness of Bayesian Prediction
ritvikmath Intermediate 4y ago
Deep Learning for Road Traffic Forecasting
ML Fundamentals ⚡ AI Lesson
Deep Learning for Road Traffic Forecasting
Data Skeptic Beginner 4y ago
AMA with Dr. Sebastian Raschka, Lead AI Educator at Grid.ai
ML Fundamentals
AMA with Dr. Sebastian Raschka, Lead AI Educator at Grid.ai
Weights & Biases Beginner 4y ago
13.2 Filter Methods for Feature Selection -- Variance Threshold (L13: Feature Selection)
ML Fundamentals
13.2 Filter Methods for Feature Selection -- Variance Threshold (L13: Feature Selection)
Sebastian Raschka Beginner 4y ago
The ML Test Score // Skylar Payne // MLOps Reading Group #2
ML Fundamentals ⚡ AI Lesson
The ML Test Score // Skylar Payne // MLOps Reading Group #2
MLOps.community Beginner 4y ago
Oxford MBA virtual open day December 2021 - welcome session
ML Fundamentals
Oxford MBA virtual open day December 2021 - welcome session
Saïd Business School, University of Oxford Intermediate 4y ago
Oxford MBA virtual open day December 2021 - Career Development Centre
ML Fundamentals ⚡ AI Lesson
Oxford MBA virtual open day December 2021 - Career Development Centre
Saïd Business School, University of Oxford Intermediate 4y ago
Intro to Batch Normalization Part 4
ML Fundamentals ⚡ AI Lesson
Intro to Batch Normalization Part 4
AssemblyAI Beginner 4y ago
Intro to Batch Normalization Part 3 - What is Normalization?
ML Fundamentals
Intro to Batch Normalization Part 3 - What is Normalization?
AssemblyAI Beginner 4y ago
Introduction to object detection on Raspberry Pi
ML Fundamentals ⚡ AI Lesson
Introduction to object detection on Raspberry Pi
TensorFlow Beginner 4y ago
Roles And Responsibilities Of An AI Engineer
ML Fundamentals
Roles And Responsibilities Of An AI Engineer
Krish Naik Intermediate 4y ago
Machine Learning Tips#5 MLOPs specialization in Coursera #machinelearning
ML Fundamentals
Machine Learning Tips#5 MLOPs specialization in Coursera #machinelearning
Automata Learning Lab Beginner 4y ago
A new addition to the fleet - Puget Workstation overview
ML Fundamentals ⚡ AI Lesson
A new addition to the fleet - Puget Workstation overview
sentdex Beginner 4y ago
Bike Share Demand Forecasting
ML Fundamentals ⚡ AI Lesson
Bike Share Demand Forecasting
Data Skeptic Advanced 4y ago
Machine Learning Tips: Deep Learning Monitor
ML Fundamentals
Machine Learning Tips: Deep Learning Monitor
Automata Learning Lab Beginner 4y ago
JAX Course - 2. Working with Neural Networks in JAX
ML Fundamentals ⚡ AI Lesson
JAX Course - 2. Working with Neural Networks in JAX
Weights & Biases Intermediate 4y ago
Blue Futurology Innovation Project: Driveway Dangers
ML Fundamentals
Blue Futurology Innovation Project: Driveway Dangers
Creator Academy Australia Intermediate 4y ago
Vector Search through Wikidata with Weaviate
ML Fundamentals ⚡ AI Lesson
Vector Search through Wikidata with Weaviate
Connor Shorten Beginner 4y ago
Yann LeCun & Soumith Chintala | Fireside Chat at PyTorch Developer Day 2021
ML Fundamentals
Yann LeCun & Soumith Chintala | Fireside Chat at PyTorch Developer Day 2021
PyTorch Beginner 4y ago
BUILDING PRODUCTION ML PIPELINES FOR PYTORCH MODELS | VAIBHAV SINGH & RAJESH THALLAM
ML Fundamentals
BUILDING PRODUCTION ML PIPELINES FOR PYTORCH MODELS | VAIBHAV SINGH & RAJESH THALLAM
PyTorch Intermediate 4y ago
KORNIA AI: LOW LEVEL COMPUTER VISION FOR AI
ML Fundamentals
KORNIA AI: LOW LEVEL COMPUTER VISION FOR AI
PyTorch Beginner 4y ago
13.1 The Different Categories of Feature Selection (L13: Feature Selection)
ML Fundamentals
13.1 The Different Categories of Feature Selection (L13: Feature Selection)
Sebastian Raschka Beginner 4y ago
ML Stepping Stones: Challenges & Opportunities for Companies // John Crousse // Coffee Sessions #67
ML Fundamentals ⚡ AI Lesson
ML Stepping Stones: Challenges & Opportunities for Companies // John Crousse // Coffee Sessions #67
MLOps.community Beginner 4y ago
13.0 Introduction to Feature Selection (L13: Feature Selection)
ML Fundamentals ⚡ AI Lesson
13.0 Introduction to Feature Selection (L13: Feature Selection)
Sebastian Raschka Beginner 4y ago
Intro to Batch Normalization Part 2
ML Fundamentals
Intro to Batch Normalization Part 2
AssemblyAI Beginner 4y ago
Intro to Batch Normalization Part 1
ML Fundamentals
Intro to Batch Normalization Part 1
AssemblyAI Beginner 4y ago
Deep Learning Series part 4 - Why is Deep Learning better for NLP?
ML Fundamentals ⚡ AI Lesson
Deep Learning Series part 4 - Why is Deep Learning better for NLP?
AssemblyAI Beginner 4y ago
Deep Learning Series part 3 - Deep Learning vs. Machine Learning
ML Fundamentals
Deep Learning Series part 3 - Deep Learning vs. Machine Learning
AssemblyAI Beginner 4y ago
Activation Functions In Neural Networks Explained | Deep Learning Tutorial
ML Fundamentals
Activation Functions In Neural Networks Explained | Deep Learning Tutorial
AssemblyAI Beginner 4y ago
Tutorial on Automated Machine Learning using MLBox
ML Fundamentals
Tutorial on Automated Machine Learning using MLBox
Krish Naik Beginner 4y ago
Deep Learning Series part 2 - Why is it called “Deep Learning”?
ML Fundamentals
Deep Learning Series part 2 - Why is it called “Deep Learning”?
AssemblyAI Beginner 4y ago
Machine Learning Tip#1 Practical Deep Learning Course
ML Fundamentals
Machine Learning Tip#1 Practical Deep Learning Course
Automata Learning Lab Beginner 4y ago
Deep Learning Series Part 1 - What is Deep Learning?
ML Fundamentals
Deep Learning Series Part 1 - What is Deep Learning?
AssemblyAI Beginner 4y ago
The Not So Talked About Reasons Model Monitoring Fails // Oren Razon // MLOps Meetup #88
ML Fundamentals
The Not So Talked About Reasons Model Monitoring Fails // Oren Razon // MLOps Meetup #88
MLOps.community Advanced 4y ago
Companies That Has Regular Job Openings For Data Science
ML Fundamentals
Companies That Has Regular Job Openings For Data Science
Krish Naik Intermediate 4y ago
When your Machine Learning Model Fails Do This ;p
ML Fundamentals ⚡ AI Lesson
When your Machine Learning Model Fails Do This ;p
Automata Learning Lab Beginner 4y ago
Face Matching Application Using Deep Learning End to End Implementation
ML Fundamentals
Face Matching Application Using Deep Learning End to End Implementation
Krish Naik Intermediate 4y ago
PyTorch Developer Day 2021
ML Fundamentals ⚡ AI Lesson
PyTorch Developer Day 2021
PyTorch Beginner 4y ago
Continuous Delivery for Machine Learning article by Martin Fowler // Coffee Session short clip #53
ML Fundamentals
Continuous Delivery for Machine Learning article by Martin Fowler // Coffee Session short clip #53
MLOps.community Intermediate 4y ago
📚 Coursera Courses Opens on Coursera · Free to audit
1 / 3 View all →
Machine Learning with Databricks and MLflow
📚 Coursera Course ↗
Self-paced
Machine Learning with Databricks and MLflow
Opens on Coursera ↗
Apply SOLID Design to Optimize Java ML
📚 Coursera Course ↗
Self-paced
Apply SOLID Design to Optimize Java ML
Opens on Coursera ↗
Graphs and Networks
📚 Coursera Course ↗
Self-paced
Graphs and Networks
Opens on Coursera ↗
Cómputo evolutivo
📚 Coursera Course ↗
Self-paced
Cómputo evolutivo
Opens on Coursera ↗
Machine Learning with R
📚 Coursera Course ↗
Self-paced
Machine Learning with R
Opens on Coursera ↗
Transfer Learning for NLP with TensorFlow Hub
📚 Coursera Course ↗
Self-paced
Transfer Learning for NLP with TensorFlow Hub
Opens on Coursera ↗