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📐 ML Fundamentals

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

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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
The First Piece of Code I Wrote
ML Fundamentals
The First Piece of Code I Wrote
ritvikmath Intermediate 4y ago
Speed up GridSearchCV using parallel processing
ML Fundamentals
Speed up GridSearchCV using parallel processing
Data School 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
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
Introducing the first Women in Machine Learning Symposium
ML Fundamentals
Introducing the first Women in Machine Learning Symposium
TensorFlow 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
Rebecca Fiebrink - Creative AI Conversations
ML Fundamentals
Rebecca Fiebrink - Creative AI Conversations
Runway Beginner 4y ago
The problem with percentages ... and the simple equation to solve it
ML Fundamentals
The problem with percentages ... and the simple equation to solve it
ritvikmath 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
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
PyTorch Book Reading - 6. Working CT Scan Data in PyTorch, Classifying Tumours.
ML Fundamentals
PyTorch Book Reading - 6. Working CT Scan Data in PyTorch, Classifying Tumours.
Weights & Biases Beginner 4y ago
Perform Easy EDA And Generate Python Using Mito
ML Fundamentals
Perform Easy EDA And Generate Python Using Mito
Krish Naik Beginner 4y ago
Machine Learning Model Deployment with Python (Streamlit + MLflow) | Part 2/2
ML Fundamentals
Machine Learning Model Deployment with Python (Streamlit + MLflow) | Part 2/2
DeepFindr Beginner 4y ago
What is Hypothesis Testing ? Math, Statistics for data science, machine learning
ML Fundamentals
What is Hypothesis Testing ? Math, Statistics for data science, machine learning
codebasics Beginner 4y ago
Chai Time Kaggle Talks with Andrada Olteanu - EDA Grandmastery
ML Fundamentals
Chai Time Kaggle Talks with Andrada Olteanu - EDA Grandmastery
Weights & Biases Beginner 4y ago
TensorFlow.js Community "Show & Tell" #6
ML Fundamentals
TensorFlow.js Community "Show & Tell" #6
TensorFlow Beginner 4y ago
Fake It Till You Make It: Face Analysis In The Wild Using Synthetic Data Alone
ML Fundamentals
Fake It Till You Make It: Face Analysis In The Wild Using Synthetic Data Alone
Microsoft Research Intermediate 4y ago
Build a Deep Facial Recognition App // Part 5 - Training a Siamese Neural Network // #Python
ML Fundamentals
Build a Deep Facial Recognition App // Part 5 - Training a Siamese Neural Network // #Python
Nicholas Renotte Beginner 4y ago
Proactively Detect and Prevent Online Fraud with Amazon SageMaker and Amazon Fraud Detector
ML Fundamentals
Proactively Detect and Prevent Online Fraud with Amazon SageMaker and Amazon Fraud Detector
AWS Developers Intermediate 4y ago
Managing Outcomes Generated by Data Scientists // Stefan Krawczyk // Coffee Sessions #49 short clip
ML Fundamentals
Managing Outcomes Generated by Data Scientists // Stefan Krawczyk // Coffee Sessions #49 short clip
MLOps.community Beginner 4y ago
Leverage the Power of AWS Deep Learning Containers with Kubernetes for Training Deep Learning Models
ML Fundamentals
Leverage the Power of AWS Deep Learning Containers with Kubernetes for Training Deep Learning Models
AWS Developers Intermediate 4y ago
Machine Learning Model Deployment with Python (Streamlit + MLflow) | Part 1/2
ML Fundamentals
Machine Learning Model Deployment with Python (Streamlit + MLflow) | Part 1/2
DeepFindr Beginner 4y ago
Deep learning project end to end | Potato Disease Classification - 8 : Mobile App in React Native
ML Fundamentals
Deep learning project end to end | Potato Disease Classification - 8 : Mobile App in React Native
codebasics Beginner 4y ago
Jeffrey Shainline: Neuromorphic Computing and Optoelectronic Intelligence | Lex Fridman Podcast #225
ML Fundamentals
Jeffrey Shainline: Neuromorphic Computing and Optoelectronic Intelligence | Lex Fridman Podcast #225
Lex Fridman Beginner 4y ago
Talks S2E7 (Konrad Banachewicz): Time Series Analysis - Vintage Toolkit For Modern Times
ML Fundamentals
Talks S2E7 (Konrad Banachewicz): Time Series Analysis - Vintage Toolkit For Modern Times
Abhishek Thakur Beginner 4y ago
Sir Clive Sinclair & British Computer Revolution - Computerphile
ML Fundamentals
Sir Clive Sinclair & British Computer Revolution - Computerphile
Computerphile Intermediate 4y ago
Gies College of Business Webinar: From MOOCs to Master's
ML Fundamentals
Gies College of Business Webinar: From MOOCs to Master's
Coursera Beginner 4y ago
Build a Deep Facial Recognition App // Part 4 - Building a Siamese Neural Network // #Python
ML Fundamentals
Build a Deep Facial Recognition App // Part 4 - Building a Siamese Neural Network // #Python
Nicholas Renotte Beginner 4y ago
PyTorch Community Voices | AI Model Efficiency Toolkit (AIMET) | Abhijit and Chirag
ML Fundamentals
PyTorch Community Voices | AI Model Efficiency Toolkit (AIMET) | Abhijit and Chirag
PyTorch Intermediate 4y ago
20+Jobs Opening In Ineuron For Data Scientist,Data Analyst,Cloud Engineer For Freshers- Just Apply
ML Fundamentals
20+Jobs Opening In Ineuron For Data Scientist,Data Analyst,Cloud Engineer For Freshers- Just Apply
Krish Naik Intermediate 4y ago
Gradient Boosting : Data Science's Silver Bullet
ML Fundamentals
Gradient Boosting : Data Science's Silver Bullet
ritvikmath Intermediate 4y ago
Detecting model misbehavior with W&B
ML Fundamentals
Detecting model misbehavior with W&B
Weights & Biases Beginner 4y ago
Drop the first category from binary features (only) with OneHotEncoder
ML Fundamentals
Drop the first category from binary features (only) with OneHotEncoder
Data School Beginner 4y ago
Importance of Platform // Julien Chaumond // Coffee Sessions #48 short clip
ML Fundamentals
Importance of Platform // Julien Chaumond // Coffee Sessions #48 short clip
MLOps.community Beginner 4y ago
iNeuron New Office Vlog In Bangalore
ML Fundamentals
iNeuron New Office Vlog In Bangalore
Krish Naik Intermediate 4y ago
PyTorch Book Reading - 5. CT Scans & PyTorch
ML Fundamentals
PyTorch Book Reading - 5. CT Scans & PyTorch
Weights & Biases Intermediate 4y ago
Time Series Forecasting Made Easy Using Dart Library - Perform Multivariate Forecasting In No Time
ML Fundamentals
Time Series Forecasting Made Easy Using Dart Library - Perform Multivariate Forecasting In No Time
Krish Naik Beginner 4y ago
Engineering Best Practices for Machine Learning // Alex Serban // MLOps Meetup #79
ML Fundamentals
Engineering Best Practices for Machine Learning // Alex Serban // MLOps Meetup #79
MLOps.community Beginner 4y ago
Protecting Workers Today and Tomorrow Using AWS IoT - AWS Online Tech Talks
ML Fundamentals
Protecting Workers Today and Tomorrow Using AWS IoT - AWS Online Tech Talks
AWS Developers Intermediate 4y ago
Experiment Faster with Low-Code / No-Code Machine Learning Tools from AWS - AWS Online Tech Talks
ML Fundamentals
Experiment Faster with Low-Code / No-Code Machine Learning Tools from AWS - AWS Online Tech Talks
AWS Developers Intermediate 4y ago
Estimators only print parameters that have been changed
ML Fundamentals
Estimators only print parameters that have been changed
Data School Beginner 4y ago
Chris Albon — ML Models and Infrastructure at Wikimedia
ML Fundamentals
Chris Albon — ML Models and Infrastructure at Wikimedia
Weights & Biases Beginner 4y ago
W&B Fastbook Reading Group — 15. Application Architectures Deep Dive
ML Fundamentals
W&B Fastbook Reading Group — 15. Application Architectures Deep Dive
Weights & Biases Beginner 4y ago
Democratizing Data Access and Machine Learning with Amazon Redshift ML - AWS Online Tech Talks
ML Fundamentals
Democratizing Data Access and Machine Learning with Amazon Redshift ML - AWS Online Tech Talks
AWS Developers Intermediate 4y ago
What does it mean to subtract one distribution from another?
ML Fundamentals
What does it mean to subtract one distribution from another?
ritvikmath Intermediate 4y ago
Maximize Feature Engineering ROI & Data Scientist Productivity Using Amazon SageMaker Feature Store
ML Fundamentals
Maximize Feature Engineering ROI & Data Scientist Productivity Using Amazon SageMaker Feature Store
AWS Developers Intermediate 4y ago