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
Tune multiple models simultaneously with GridSearchCV
ML Fundamentals ⚡ AI Lesson
Tune multiple models simultaneously with GridSearchCV
Data School Beginner 4y ago
Not enough data for deep learning? Try this with your #Python code #shorts
ML Fundamentals ⚡ AI Lesson
Not enough data for deep learning? Try this with your #Python code #shorts
Nicholas Renotte Beginner 4y ago
Interview and Q&A with Jenny Sabin, Creator of the Ada Installation in Microsoft Building 99
ML Fundamentals ⚡ AI Lesson
Interview and Q&A with Jenny Sabin, Creator of the Ada Installation in Microsoft Building 99
Microsoft Research Beginner 4y ago
Math you need as a Data Scientist
ML Fundamentals ⚡ AI Lesson
Math you need as a Data Scientist
CodeEmporium Beginner 4y ago
LinkedIn Job Recommendations // Alexandre Patry // Coffee Sessions #60
ML Fundamentals ⚡ AI Lesson
LinkedIn Job Recommendations // Alexandre Patry // Coffee Sessions #60
MLOps.community Beginner 4y ago
PyTorch Book Reading - 9. Creating an End to End tumor classifier & Deploying to Production.
ML Fundamentals
PyTorch Book Reading - 9. Creating an End to End tumor classifier & Deploying to Production.
Weights & Biases Beginner 4y ago
Should You Still Learn ML In 2022?
ML Fundamentals
Should You Still Learn ML In 2022?
Patrick Loeber Beginner 4y ago
Learn From These Experienced Data Scientist Resumes
ML Fundamentals
Learn From These Experienced Data Scientist Resumes
Krish Naik Beginner 4y ago
Deep learning in 5 minutes | What is deep learning?
ML Fundamentals
Deep learning in 5 minutes | What is deep learning?
AssemblyAI Beginner 4y ago
Scope , Salary, Status of a Data Scientists
ML Fundamentals
Scope , Salary, Status of a Data Scientists
Entri Coding മലയാളം Beginner 4y ago
Machine Learning Tutorial Python - 21: Ensemble Learning - Bagging
ML Fundamentals
Machine Learning Tutorial Python - 21: Ensemble Learning - Bagging
codebasics Beginner 4y ago
End to End MLOps Basics // Raviraja Ganta // MLOps Meetup #82
ML Fundamentals
End to End MLOps Basics // Raviraja Ganta // MLOps Meetup #82
MLOps.community Beginner 4y ago
Build and Deploy a Machine Learning App in 2 Minutes
ML Fundamentals
Build and Deploy a Machine Learning App in 2 Minutes
HuggingFace Beginner 4y ago
Access part of a Pipeline using slicing
ML Fundamentals ⚡ AI Lesson
Access part of a Pipeline using slicing
Data School Beginner 4y ago
What Can You Learn From Internships?🤩🤩🤩🤩
ML Fundamentals
What Can You Learn From Internships?🤩🤩🤩🤩
Krish Naik Beginner 4y ago
Classifying satellite imagery - Made with TensorFlow.js
ML Fundamentals ⚡ AI Lesson
Classifying satellite imagery - Made with TensorFlow.js
TensorFlow Beginner 4y ago
Women in Machine Learning Symposium 2021 livestream
ML Fundamentals ⚡ AI Lesson
Women in Machine Learning Symposium 2021 livestream
TensorFlow Beginner 4y ago
Machine Learning Tutorial Python - 20: Bias vs Variance In Machine Learning
ML Fundamentals ⚡ AI Lesson
Machine Learning Tutorial Python - 20: Bias vs Variance In Machine Learning
codebasics Beginner 4y ago
Build 4 Python Automation Projects With Machine Learning
ML Fundamentals ⚡ AI Lesson
Build 4 Python Automation Projects With Machine Learning
Patrick Loeber Beginner 4y ago
How You Should Split Your Datasets in Machine Learning
ML Fundamentals ⚡ AI Lesson
How You Should Split Your Datasets in Machine Learning
NeuralNine Beginner 4y ago
Learning to Ponder: Memory in Deep Neural Networks - #528
ML Fundamentals ⚡ AI Lesson
Learning to Ponder: Memory in Deep Neural Networks - #528
The TWIML AI Podcast with Sam Charrington Beginner 4y ago
What you should do during a Data Science Internship
ML Fundamentals ⚡ AI Lesson
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 ⚡ AI Lesson
#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 ⚡ AI Lesson
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
Newton’s fractal (which Newton knew nothing about)
ML Fundamentals
Newton’s fractal (which Newton knew nothing about)
3Blue1Brown 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
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
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
What We Can Learn From These Resumes For Data Science?
ML Fundamentals
What We Can Learn From These Resumes For Data Science?
Krish Naik Beginner 4y ago
Tune the parameters of a VotingClassifer or VotingRegressor
ML Fundamentals ⚡ AI Lesson
Tune the parameters of a VotingClassifer or VotingRegressor
Data School 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
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
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
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
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
Create feature interactions using PolynomialFeatures
ML Fundamentals
Create feature interactions using PolynomialFeatures
Data School Beginner 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
PyTorch Book Reading - 7. Training a Tumor classifier
ML Fundamentals
PyTorch Book Reading - 7. Training a Tumor classifier
Weights & Biases 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
10 Types of Features your Location ML Model is Missing // Anne Cocos // Coffee Sessions #58
ML Fundamentals ⚡ AI Lesson
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
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Application of AI, InsurTech, and Real Estate Technology
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Data Science Coding Challenge: Loan Default Prediction
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Predicting Extreme Climate Behavior with Machine Learning
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Applied Natural Language Processing in Engineering Part 1
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Applied Natural Language Processing in Engineering Part 1
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Math for AI Beginner Part 2 : Vector Calulus
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Math for AI Beginner Part 2 : Vector Calulus
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Machine Learning with Small Data Part 2
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