Foundations

ML Fundamentals

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

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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
13.4.1 Recursive Feature Elimination (L13: Feature Selection)
ML Fundamentals
13.4.1 Recursive Feature Elimination (L13: Feature Selection)
Sebastian Raschka Beginner 4y ago
Machine Learning Holidays Live Stream
ML Fundamentals
Machine Learning Holidays Live Stream
Yannic Kilcher Beginner 4y ago
Machine Learning Holiday Live Stream
ML Fundamentals
Machine Learning Holiday Live Stream
Yannic Kilcher Beginner 4y ago
Dropout Regularization
ML Fundamentals ⚡ AI Lesson
Dropout Regularization
AssemblyAI Beginner 4y ago
Tuning Alpha in L1 and L2 Regularization
ML Fundamentals
Tuning Alpha in L1 and L2 Regularization
AssemblyAI Beginner 4y ago
Choose an object detection model architecture for Raspberry Pi
ML Fundamentals ⚡ AI Lesson
Choose an object detection model architecture for Raspberry Pi
TensorFlow Beginner 4y ago
13.3.2 Decision Trees & Random Forest Feature Importance (L13: Feature Selection)
ML Fundamentals
13.3.2 Decision Trees & Random Forest Feature Importance (L13: Feature Selection)
Sebastian Raschka Beginner 4y ago
What Is Smart Contract In Ethereum Blockchain?
ML Fundamentals
What Is Smart Contract In Ethereum Blockchain?
Krish Naik Beginner 4y ago
Masters in Physics to Data Scientist Career Transition Story
ML Fundamentals
Masters in Physics to Data Scientist Career Transition Story
codebasics Beginner 4y ago
Building 12-Factor Data Apps with Kedro // Ivan Danov // MLOps Meetup #90
ML Fundamentals
Building 12-Factor Data Apps with Kedro // Ivan Danov // MLOps Meetup #90
MLOps.community Beginner 4y ago
What Is NFT In Blockchain?
ML Fundamentals
What Is NFT In Blockchain?
Krish Naik Beginner 4y ago
Modern ML Stack is a Lie
ML Fundamentals
Modern ML Stack is a Lie
MLOps.community Beginner 4y ago
Open-Source Deep Learning
ML Fundamentals
Open-Source Deep Learning
Connor Shorten Beginner 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
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
NVIDIA’s New AI: Journey Into Virtual Reality!
ML Fundamentals
NVIDIA’s New AI: Journey Into Virtual Reality!
Two Minute Papers 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
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
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
Machine Learning Tips: Deep Learning Monitor
ML Fundamentals
Machine Learning Tips: Deep Learning Monitor
Automata Learning Lab Beginner 4y ago
Vector Search through Wikidata with Weaviate
ML Fundamentals ⚡ AI Lesson
Vector Search through Wikidata with Weaviate
Connor Shorten Beginner 4y ago
Types of Regularization
ML Fundamentals ⚡ AI Lesson
Types of Regularization
AssemblyAI Beginner 4y ago
How/Why Regularization in Neural Networks?
ML Fundamentals
How/Why Regularization in Neural Networks?
AssemblyAI Beginner 4y ago
Introduction to Regularization
ML Fundamentals
Introduction to Regularization
AssemblyAI 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
KORNIA AI: LOW LEVEL COMPUTER VISION FOR AI
ML Fundamentals
KORNIA AI: LOW LEVEL COMPUTER VISION FOR AI
PyTorch 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
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
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
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 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
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
Introduction to object detection on Raspberry Pi
ML Fundamentals ⚡ AI Lesson
Introduction to object detection on Raspberry Pi
TensorFlow 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
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