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
Meet iNeuron Team
ML Fundamentals
Meet iNeuron Team
Krish Naik Intermediate 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 ⚡ AI Lesson
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
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
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
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
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 ⚡ AI Lesson
Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga - #525
The TWIML AI Podcast with Sam Charrington Advanced 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
Introducing the first Women in Machine Learning Symposium
ML Fundamentals ⚡ AI Lesson
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 ⚡ AI Lesson
TensorFlow for Computer Vision Course - Full Python Tutorial for Beginners
freeCodeCamp.org Beginner 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
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
Fake It Till You Make It: Face Analysis In The Wild Using Synthetic Data Alone
ML Fundamentals ⚡ AI Lesson
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 ⚡ AI Lesson
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 ⚡ AI Lesson
Proactively Detect and Prevent Online Fraud with Amazon SageMaker and Amazon Fraud Detector
AWS Developers Intermediate 4y ago
Gradient Boosting : Data Science's Silver Bullet
ML Fundamentals ⚡ AI Lesson
Gradient Boosting : Data Science's Silver Bullet
ritvikmath 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
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 ⚡ AI Lesson
10 Types of Features your Location ML Model is Missing // Anne Cocos // Coffee Sessions #58
MLOps.community 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
Perform Easy EDA And Generate Python Using Mito
ML Fundamentals
Perform Easy EDA And Generate Python Using Mito
Krish Naik Beginner 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
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 ⚡ AI Lesson
TensorFlow.js Community "Show & Tell" #6
TensorFlow Beginner 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
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
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
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
📚 Coursera Courses Opens on Coursera · Free to audit
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Encoder-Decoder Architecture - Italiano
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Self-paced
Encoder-Decoder Architecture - Italiano
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Deep Learning with PyTorch : Generative Adversarial Network
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Self-paced
Deep Learning with PyTorch : Generative Adversarial Network
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Deep Learning: Convolutional Neural Networks with TensorFlow
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Deep Learning: Convolutional Neural Networks with TensorFlow
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Introduction to Generative AI - Art of the Possible
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Introduction to Generative AI - Art of the Possible
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Advanced CNNs, Transfer Learning, and Recurrent Networks
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Self-paced
Advanced CNNs, Transfer Learning, and Recurrent Networks
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Build Testable Python Packages for AI
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Self-paced
Build Testable Python Packages for AI
Opens on Coursera ↗