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
Who has the highest standards in ML?
ML Fundamentals
Who has the highest standards in ML?
MLOps.community Intermediate 6y ago
Survivorship Bias in machine learning tutorials
ML Fundamentals ⚡ AI Lesson
Survivorship Bias in machine learning tutorials
MLOps.community Intermediate 6y ago
Tips N Tricks #6: How to train multiple deep neural networks on TPUs simultaneously
ML Fundamentals
Tips N Tricks #6: How to train multiple deep neural networks on TPUs simultaneously
Abhishek Thakur Intermediate 6y ago
Sharing My Experience- How Teaching Has Improved My Data Science Skills
ML Fundamentals
Sharing My Experience- How Teaching Has Improved My Data Science Skills
Krish Naik Intermediate 6y ago
Inside TensorFlow: TF Debugging
ML Fundamentals ⚡ AI Lesson
Inside TensorFlow: TF Debugging
TensorFlow Intermediate 6y ago
Theory: Applications of Data Science
ML Fundamentals ⚡ AI Lesson
Theory: Applications of Data Science
DataCamp Intermediate 6y ago
How to Build A Data Science Portfolio That Can Get You Jobs?
ML Fundamentals
How to Build A Data Science Portfolio That Can Get You Jobs?
Krish Naik Intermediate 6y ago
Computer Vision is Not Perfect
ML Fundamentals ⚡ AI Lesson
Computer Vision is Not Perfect
Data Skeptic Intermediate 6y ago
10K Subscribers: Approaching (almost) Any Machine Learning Problem and Talk Show
ML Fundamentals ⚡ AI Lesson
10K Subscribers: Approaching (almost) Any Machine Learning Problem and Talk Show
Abhishek Thakur Intermediate 6y ago
How to build custom Datasets for Images in Pytorch
ML Fundamentals
How to build custom Datasets for Images in Pytorch
Aladdin Persson Intermediate 6y ago
Taming Kerberos - Computerphile
ML Fundamentals ⚡ AI Lesson
Taming Kerberos - Computerphile
Computerphile Intermediate 6y ago
How to save and load models in Pytorch
ML Fundamentals ⚡ AI Lesson
How to save and load models in Pytorch
Aladdin Persson Intermediate 6y ago
Oxford Impact Measurement Programme - The Landscape of Impact Measurement for Impact Investing
ML Fundamentals ⚡ AI Lesson
Oxford Impact Measurement Programme - The Landscape of Impact Measurement for Impact Investing
Saïd Business School, University of Oxford Intermediate 6y ago
Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars
ML Fundamentals ⚡ AI Lesson
Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars
Weights & Biases Intermediate 6y ago
Webinar - Private Equity’s Roaring 20s - A Peek Around the Corner
ML Fundamentals
Webinar - Private Equity’s Roaring 20s - A Peek Around the Corner
Saïd Business School, University of Oxford Intermediate 6y ago
Organizing ML projects — W&B walkthrough (2020)
ML Fundamentals ⚡ AI Lesson
Organizing ML projects — W&B walkthrough (2020)
Weights & Biases Intermediate 6y ago
Humans in the Loop are a defining factor in Machine Learning
ML Fundamentals
Humans in the Loop are a defining factor in Machine Learning
MLOps.community Intermediate 6y ago
Specific challenges in Machine Learning
ML Fundamentals
Specific challenges in Machine Learning
MLOps.community Intermediate 6y ago
MLOps: Airflow Pros and Cons
ML Fundamentals
MLOps: Airflow Pros and Cons
MLOps.community Intermediate 6y ago
MLOps meetup #5 High Stakes ML: Active Failures, Latent Factors with Flavio Clesio
ML Fundamentals
MLOps meetup #5 High Stakes ML: Active Failures, Latent Factors with Flavio Clesio
MLOps.community Intermediate 6y ago
Live Q&A Data Science
ML Fundamentals
Live Q&A Data Science
Krish Naik Intermediate 6y ago
How Should You Explain Your Data Science Projects To Recruiters?- Must Watch For Everyone
ML Fundamentals
How Should You Explain Your Data Science Projects To Recruiters?- Must Watch For Everyone
Krish Naik Intermediate 6y ago
3 key parts to Machine Learning monitoring
ML Fundamentals
3 key parts to Machine Learning monitoring
MLOps.community Intermediate 6y ago
Auto retrain ML models is not the question
ML Fundamentals ⚡ AI Lesson
Auto retrain ML models is not the question
MLOps.community Intermediate 6y ago
Developing a Machine Learning Feature Store
ML Fundamentals
Developing a Machine Learning Feature Store
MLOps.community Intermediate 6y ago
Evolution of the ML feature store @SurveyMonkey
ML Fundamentals
Evolution of the ML feature store @SurveyMonkey
MLOps.community Intermediate 6y ago
Doing ML with Personal Information
ML Fundamentals ⚡ AI Lesson
Doing ML with Personal Information
MLOps.community Intermediate 6y ago
How do you handle ML version control at SurveyMonkey
ML Fundamentals
How do you handle ML version control at SurveyMonkey
MLOps.community Intermediate 6y ago
Hybrid Data Science Teams @SurveyMonkey
ML Fundamentals ⚡ AI Lesson
Hybrid Data Science Teams @SurveyMonkey
MLOps.community Intermediate 6y ago
Message buses, Async and sync architecture
ML Fundamentals
Message buses, Async and sync architecture
MLOps.community Intermediate 6y ago
ML Services Gateway at SurveyMonkey
ML Fundamentals
ML Services Gateway at SurveyMonkey
MLOps.community Intermediate 6y ago
ML Platforms - The build vs buy question
ML Fundamentals
ML Platforms - The build vs buy question
MLOps.community Intermediate 6y ago
My Recording Gears For Data Science Videos
ML Fundamentals
My Recording Gears For Data Science Videos
Krish Naik Intermediate 6y ago
Pytorch GoogLeNet / InceptionNet implementation from scratch
ML Fundamentals
Pytorch GoogLeNet / InceptionNet implementation from scratch
Aladdin Persson Intermediate 6y ago
Why Domain Knowledge Is Important For Data Scientist?
ML Fundamentals
Why Domain Knowledge Is Important For Data Scientist?
Krish Naik Intermediate 6y ago
Pytorch CNN example (Convolutional Neural Network)
ML Fundamentals ⚡ AI Lesson
Pytorch CNN example (Convolutional Neural Network)
Aladdin Persson Intermediate 6y ago
Pytorch Neural Network example
ML Fundamentals
Pytorch Neural Network example
Aladdin Persson Intermediate 6y ago
End to End Chatbot with Deployment And Custom Service Integration
ML Fundamentals
End to End Chatbot with Deployment And Custom Service Integration
Krish Naik Intermediate 6y ago
Spearman's rank correlation coefficient- Statistics
ML Fundamentals
Spearman's rank correlation coefficient- Statistics
Krish Naik Intermediate 6y ago
Time Management- How Do I Efficiently Manage My Time?  My Experience- Motivation
ML Fundamentals
Time Management- How Do I Efficiently Manage My Time? My Experience- Motivation
Krish Naik Intermediate 6y ago
Saturday Live Q&A
ML Fundamentals
Saturday Live Q&A
Krish Naik Intermediate 6y ago
MLOps Manifesto with Luke Marsden from Dotscience
ML Fundamentals
MLOps Manifesto with Luke Marsden from Dotscience
MLOps.community Intermediate 6y ago
Remote Collaboration as a Data Scientist
ML Fundamentals
Remote Collaboration as a Data Scientist
MLOps.community Intermediate 6y ago
All About Membership In Krish's Channel
ML Fundamentals
All About Membership In Krish's Channel
Krish Naik Intermediate 6y ago
Lecture 4- Bubble Sort -Competitive Programming Problem 2
ML Fundamentals
Lecture 4- Bubble Sort -Competitive Programming Problem 2
Krish Naik Intermediate 6y ago
Visibility Climate Prediction- You Can Add This In Your Resume
ML Fundamentals
Visibility Climate Prediction- You Can Add This In Your Resume
Krish Naik Intermediate 6y ago
Lecture 3-  Competitive Programming Problem 1 Solution- Happy Holi!!
ML Fundamentals
Lecture 3- Competitive Programming Problem 1 Solution- Happy Holi!!
Krish Naik Intermediate 6y ago
Lecture 2- Competitive Programming- Problem Statement 1
ML Fundamentals
Lecture 2- Competitive Programming- Problem Statement 1
Krish Naik Intermediate 6y ago
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