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
Regularization - Early stopping
ML Fundamentals ⚡ AI Lesson
Regularization - Early stopping
AssemblyAI Beginner 4y ago
@GitHub Sent Me This Gift- Github Star Awards⭐⭐⭐⭐
ML Fundamentals
@GitHub Sent Me This Gift- Github Star Awards⭐⭐⭐⭐
Krish Naik Intermediate 4y ago
Talk: The implicit bias of optimization algorithms in deep learning
ML Fundamentals
Talk: The implicit bias of optimization algorithms in deep learning
Microsoft Research Advanced 4y ago
Talk: Theoretical Aspects of Gradient Methods in Deep Learning
ML Fundamentals ⚡ AI Lesson
Talk: Theoretical Aspects of Gradient Methods in Deep Learning
Microsoft Research Advanced 4y ago
Learning Data Science In 2022- Step By Step Plan
ML Fundamentals
Learning Data Science In 2022- Step By Step Plan
Krish Naik Beginner 4y ago
Bayesians, Frequentists, and Parallel Universes
ML Fundamentals ⚡ AI Lesson
Bayesians, Frequentists, and Parallel Universes
ritvikmath Intermediate 4y ago
Robot Dog Learns to Walk - Bittle Reinforcement Learning p.3
ML Fundamentals
Robot Dog Learns to Walk - Bittle Reinforcement Learning p.3
sentdex Beginner 4y ago
13.4.3 Feature Permutation Importance Code Examples (L13: Feature Selection)
ML Fundamentals
13.4.3 Feature Permutation Importance Code Examples (L13: Feature Selection)
Sebastian Raschka Beginner 4y ago
A friendly introduction to distributed training (ML Tech Talks)
ML Fundamentals ⚡ AI Lesson
A friendly introduction to distributed training (ML Tech Talks)
TensorFlow Beginner 4y ago
13.4.2 Feature Permutation Importance (L13: Feature Selection)
ML Fundamentals
13.4.2 Feature Permutation Importance (L13: Feature Selection)
Sebastian Raschka Beginner 4y ago
Make object detection faster by using Coral
ML Fundamentals ⚡ AI Lesson
Make object detection faster by using Coral
TensorFlow Beginner 4y ago
Backpropagation For Neural Networks Explained | Deep Learning Tutorial
ML Fundamentals ⚡ AI Lesson
Backpropagation For Neural Networks Explained | Deep Learning Tutorial
AssemblyAI Beginner 4y ago
Elon Musk: SpaceX, Mars, Tesla Autopilot, Self-Driving, Robotics, and AI | Lex Fridman Podcast #252
ML Fundamentals
Elon Musk: SpaceX, Mars, Tesla Autopilot, Self-Driving, Robotics, and AI | Lex Fridman Podcast #252
Lex Fridman Beginner 4y ago
Building an Image Classifier to Filter Out Unused Images From Your Photo Album with Machine Learning
ML Fundamentals
Building an Image Classifier to Filter Out Unused Images From Your Photo Album with Machine Learning
Automata Learning Lab Beginner 4y ago
Setting up an ML Platform on GCP: Lessons Learned // Mefta Sadat // MLOps #71
ML Fundamentals
Setting up an ML Platform on GCP: Lessons Learned // Mefta Sadat // MLOps #71
MLOps.community 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
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
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
Iterative Closest Point (ICP) - Computerphile
ML Fundamentals ⚡ AI Lesson
Iterative Closest Point (ICP) - Computerphile
Computerphile Intermediate 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
Fourier Feature Networks and Neural Volume Rendering
ML Fundamentals
Fourier Feature Networks and Neural Volume Rendering
Microsoft Research Beginner 4y ago
Technology That Can Create An Impact In 2022
ML Fundamentals
Technology That Can Create An Impact In 2022
Krish Naik Intermediate 4y ago
Learn How to Set Up Goals Like A Pro In 2022
ML Fundamentals
Learn How to Set Up Goals Like A Pro In 2022
Krish Naik Beginner 4y ago
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
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
Types of Regularization
ML Fundamentals ⚡ AI Lesson
Types of Regularization
AssemblyAI Beginner 4y ago
What Is Smart Contract In Ethereum Blockchain?
ML Fundamentals
What Is Smart Contract In Ethereum Blockchain?
Krish Naik 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
DIABLo: a Deep Individual-Agnostic Binaural Localizer
ML Fundamentals ⚡ AI Lesson
DIABLo: a Deep Individual-Agnostic Binaural Localizer
Microsoft Research Intermediate 4y ago
What Is NFT In Blockchain?
ML Fundamentals
What Is NFT In Blockchain?
Krish Naik Beginner 4y ago
Does OneNeuron Include Full Stack Data Scientist Course?
ML Fundamentals
Does OneNeuron Include Full Stack Data Scientist Course?
Krish Naik Intermediate 4y ago
Modern ML Stack is a Lie
ML Fundamentals
Modern ML Stack is a Lie
MLOps.community Beginner 4y ago
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
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
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
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
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
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Graphs and Networks
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