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
Build 4 Python Automation Projects With Machine Learning
ML Fundamentals
Build 4 Python Automation Projects With Machine Learning
Patrick Loeber Beginner 4y ago
How to Install Ubuntu in Windows 10 with WSL2-Windows Subsystem for Linux
ML Fundamentals
How to Install Ubuntu in Windows 10 with WSL2-Windows Subsystem for Linux
Krish Naik Intermediate 4y ago
How You Should Split Your Datasets in Machine Learning
ML Fundamentals
How You Should Split Your Datasets in Machine Learning
NeuralNine Beginner 4y ago
Complete Implementation Of Perceptron In Deep Learning Using Python From Scratch
ML Fundamentals
Complete Implementation Of Perceptron In Deep Learning Using Python From Scratch
Krish Naik Beginner 4y ago
Reimagining Digital Customer Engagement  - AWS Online Tech Talks
ML Fundamentals
Reimagining Digital Customer Engagement - AWS Online Tech Talks
AWS Developers Intermediate 4y ago
Deploy Highly Personalized Shopping Experiences in Time for Black Friday - AWS Online Tech Talks
ML Fundamentals
Deploy Highly Personalized Shopping Experiences in Time for Black Friday - AWS Online Tech Talks
AWS Developers Intermediate 4y ago
Learning to Ponder: Memory in Deep Neural Networks - #528
ML Fundamentals
Learning to Ponder: Memory in Deep Neural Networks - #528
The TWIML AI Podcast with Sam Charrington Beginner 4y ago
Feast Feature Store Deep Dive // Felix Wang //  MLOps Meetup #81
ML Fundamentals
Feast Feature Store Deep Dive // Felix Wang // MLOps Meetup #81
MLOps.community Beginner 4y ago
What you should do during a Data Science Internship
ML Fundamentals
What you should do during a Data Science Internship
CodeEmporium Beginner 4y ago
#73 Scaling AI Adoption in Financial Services (with Shameek Kundu)
ML Fundamentals
#73 Scaling AI Adoption in Financial Services (with Shameek Kundu)
DataCamp Beginner 4y ago
PyTorch Book Reading - 8. U-net, Image Segmentation and Image Augmentations in PyTorch
ML Fundamentals
PyTorch Book Reading - 8. U-net, Image Segmentation and Image Augmentations in PyTorch
Weights & Biases Beginner 4y ago
How to code neural networks without math*
ML Fundamentals
How to code neural networks without math*
Daniel Bourke Beginner 4y ago
Build a Deep Facial Recognition App // Part 7 - Real Time Predictions with OpenCV // #Python
ML Fundamentals
Build a Deep Facial Recognition App // Part 7 - Real Time Predictions with OpenCV // #Python
Nicholas Renotte Beginner 4y ago
Accelerating AI Innovation by Optimizing Infrastructure. With Dr. Muthian Sivathanu
ML Fundamentals
Accelerating AI Innovation by Optimizing Infrastructure. With Dr. Muthian Sivathanu
Microsoft Research Beginner 4y ago
Solving Kaggle with PyCaret AutoML - Automated Machine Learning Tutorial
ML Fundamentals
Solving Kaggle with PyCaret AutoML - Automated Machine Learning Tutorial
1littlecoder Beginner 4y ago
Ensemble multiple models using VotingClassifer or VotingRegressor
ML Fundamentals
Ensemble multiple models using VotingClassifer or VotingRegressor
Data School Beginner 4y ago
Build a Deep Facial Recognition App // Part 6 - Making Facial Recognition Predictions // #Python
ML Fundamentals
Build a Deep Facial Recognition App // Part 6 - Making Facial Recognition Predictions // #Python
Nicholas Renotte Beginner 4y ago
Announcing Google's Machine Learning Virtual Community Day
ML Fundamentals
Announcing Google's Machine Learning Virtual Community Day
TensorFlow Intermediate 4y ago
Can we simulate a real robot?
ML Fundamentals
Can we simulate a real robot?
sentdex Advanced 4y ago
How mlctl Helps Intuit's Workflow // Srivathsan Canchi // Coffee Sessions # 50 short clip
ML Fundamentals
How mlctl Helps Intuit's Workflow // Srivathsan Canchi // Coffee Sessions # 50 short clip
MLOps.community Beginner 4y ago
Newton’s fractal (which Newton knew nothing about)
ML Fundamentals
Newton’s fractal (which Newton knew nothing about)
3Blue1Brown Beginner 4y ago
Create feature interactions using PolynomialFeatures
ML Fundamentals
Create feature interactions using PolynomialFeatures
Data School Beginner 4y ago
Plotly graphs and figures
ML Fundamentals
Plotly graphs and figures
DataCamp Intermediate 4y ago
PyTorch Book Reading - 7. Training a Tumor classifier
ML Fundamentals
PyTorch Book Reading - 7. Training a Tumor classifier
Weights & Biases Beginner 4y ago
How Al is Changing Marketing and SEO (And How to Use it In Your Business)
ML Fundamentals
How Al is Changing Marketing and SEO (And How to Use it In Your Business)
Neil Patel Beginner 4y ago
Machine Learning Tutorial Python - 19: Principal Component Analysis (PCA) with Python Code
ML Fundamentals
Machine Learning Tutorial Python - 19: Principal Component Analysis (PCA) with Python Code
codebasics Beginner 4y ago
UIUC's Online Master's in Computer Science MCS & MCS-DS Degrees Webinar
ML Fundamentals
UIUC's Online Master's in Computer Science MCS & MCS-DS Degrees Webinar
Coursera Beginner 4y ago
Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga - #525
ML Fundamentals
Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga - #525
The TWIML AI Podcast with Sam Charrington Advanced 4y ago
Grokking: Generalization beyond Overfitting on small algorithmic datasets (Paper Explained)
ML Fundamentals
Grokking: Generalization beyond Overfitting on small algorithmic datasets (Paper Explained)
Yannic Kilcher Beginner 4y ago
1. Introduction and Matrix Multiplication
ML Fundamentals
1. Introduction and Matrix Multiplication
MIT OpenCourseWare Beginner 4y ago
Introducing the first Women in Machine Learning Symposium
ML Fundamentals
Introducing the first Women in Machine Learning Symposium
TensorFlow Beginner 4y ago
Rebecca Fiebrink - Creative AI Conversations
ML Fundamentals
Rebecca Fiebrink - Creative AI Conversations
Runway Beginner 4y ago
TensorFlow for Computer Vision Course - Full Python Tutorial for Beginners
ML Fundamentals
TensorFlow for Computer Vision Course - Full Python Tutorial for Beginners
freeCodeCamp.org Beginner 4y ago
Implementation Of Perceptron In Deep Learning Using Python From Scratch- Part 1- Ft: Sunny
ML Fundamentals
Implementation Of Perceptron In Deep Learning Using Python From Scratch- Part 1- Ft: Sunny
Krish Naik Beginner 4y ago
Complete Feature Engineering And EDA In Data Science in 31 Videos
ML Fundamentals
Complete Feature Engineering And EDA In Data Science in 31 Videos
Krish Naik Intermediate 4y ago
Meet iNeuron Team
ML Fundamentals
Meet iNeuron Team
Krish Naik Intermediate 4y ago
How Vishwa Made A Successful Career From A Fresher To Data Science
ML Fundamentals
How Vishwa Made A Successful Career From A Fresher To Data Science
Krish Naik Intermediate 4y ago
Self-Service Machine Learning with Amazon Redshift - AWS Virtual Workshop
ML Fundamentals
Self-Service Machine Learning with Amazon Redshift - AWS Virtual Workshop
AWS Developers Intermediate 4y ago
Data Selection for Data-Centric AI: Data Quality Over Quantity // Cody Coleman //Coffee Sessions#59
ML Fundamentals
Data Selection for Data-Centric AI: Data Quality Over Quantity // Cody Coleman //Coffee Sessions#59
MLOps.community Beginner 4y ago
Remote Work Vs Working From Office- Which Is Good For Longer Run?
ML Fundamentals
Remote Work Vs Working From Office- Which Is Good For Longer Run?
Krish Naik Intermediate 4y ago
Why Companies Hire Less Data Scientist In College Placements? For 2nd Tier And 3rd Tier
ML Fundamentals
Why Companies Hire Less Data Scientist In College Placements? For 2nd Tier And 3rd Tier
Krish Naik Intermediate 4y ago
Live Q&A- Ask Anything Related Data Science
ML Fundamentals
Live Q&A- Ask Anything Related Data Science
Krish Naik Intermediate 4y ago
What’s New In Python 3.10? Discussing All The New Features
ML Fundamentals
What’s New In Python 3.10? Discussing All The New Features
Krish Naik Intermediate 4y ago
10 Types of Features your Location ML Model is Missing // Anne Cocos // Coffee Sessions #58
ML Fundamentals
10 Types of Features your Location ML Model is Missing // Anne Cocos // Coffee Sessions #58
MLOps.community Beginner 4y ago
Speed up GridSearchCV using parallel processing
ML Fundamentals
Speed up GridSearchCV using parallel processing
Data School Beginner 4y ago
Use OrdinalEncoder instead of OneHotEncoder with tree-based models
ML Fundamentals
Use OrdinalEncoder instead of OneHotEncoder with tree-based models
Data School Beginner 4y ago
Three Categories of SGT // Alex Chung // Coffee #50 short clip
ML Fundamentals
Three Categories of SGT // Alex Chung // Coffee #50 short clip
MLOps.community Beginner 4y ago
How To Install Ubuntu Linux In Windows- ft: Paul iNeuron
ML Fundamentals
How To Install Ubuntu Linux In Windows- ft: Paul iNeuron
Krish Naik Intermediate 4y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Convolutional Neural Networks in TensorFlow
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Self-paced
Convolutional Neural Networks in TensorFlow
Opens on Coursera ↗
Choose Cost-Effective ML Algorithms Fast
📚 Coursera Course ↗
Self-paced
Choose Cost-Effective ML Algorithms Fast
Opens on Coursera ↗
Data Balancing with Gen AI: Credit Card Fraud Detection
📚 Coursera Course ↗
Self-paced
Data Balancing with Gen AI: Credit Card Fraud Detection
Opens on Coursera ↗
Principles of Computing (Part 1)
📚 Coursera Course ↗
Self-paced
Principles of Computing (Part 1)
Opens on Coursera ↗
Validate, Analyze, and Monitor ML Models
📚 Coursera Course ↗
Self-paced
Validate, Analyze, and Monitor ML Models
Opens on Coursera ↗
Algebra: Elementary to Advanced - Polynomials and Roots
📚 Coursera Course ↗
Self-paced
Algebra: Elementary to Advanced - Polynomials and Roots
Opens on Coursera ↗