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
Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433
ML Fundamentals
Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433
The TWIML AI Podcast with Sam Charrington Beginner 5y ago
Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427
ML Fundamentals
Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
Twitter Posts Political Ideology Classification (Student Presentation, Group 15)
ML Fundamentals
Twitter Posts Political Ideology Classification (Student Presentation, Group 15)
Sebastian Raschka Beginner 5y ago
Predicting Pitch Outcomes in Major League Baseball (Student Presentation, Group 11)
ML Fundamentals
Predicting Pitch Outcomes in Major League Baseball (Student Presentation, Group 11)
Sebastian Raschka Advanced 5y ago
Santa's Feature Store // MLOps Christmas
ML Fundamentals
Santa's Feature Store // MLOps Christmas
MLOps.community Beginner 5y ago
MLOps Community // For The Community, By The Community
ML Fundamentals
MLOps Community // For The Community, By The Community
MLOps.community Beginner 5y ago
Collaboration for ML Teams - Webinar Teaser with Charles Frye
ML Fundamentals
Collaboration for ML Teams - Webinar Teaser with Charles Frye
Weights & Biases Beginner 5y ago
Real-world application of the Central Limit Theorem (CLT)
ML Fundamentals
Real-world application of the Central Limit Theorem (CLT)
365 Data Science Beginner 5y ago
Deep learning for (almost) any text classification problem (binary, multi-class, multi-label)
ML Fundamentals
Deep learning for (almost) any text classification problem (binary, multi-class, multi-label)
Abhishek Thakur Intermediate 5y ago
My YouTube setup (hardware and software) | Youtube Setup For Coding Channel
ML Fundamentals
My YouTube setup (hardware and software) | Youtube Setup For Coding Channel
codebasics Beginner 5y ago
How I Would Learn Data Science in 2021 (What Has Changed?)
ML Fundamentals
How I Would Learn Data Science in 2021 (What Has Changed?)
Ken Jee Beginner 5y ago
Deploying Machine Learning Models Online with Watson Machine Learning | Python Scikit-Learn
ML Fundamentals
Deploying Machine Learning Models Online with Watson Machine Learning | Python Scikit-Learn
Nicholas Renotte Intermediate 5y ago
NvRTX Unreal Engine 4 Branch: Ray Traced Foliage
ML Fundamentals
NvRTX Unreal Engine 4 Branch: Ray Traced Foliage
NVIDIA Developer Intermediate 5y ago
Brute Forcing The Countdown Numbers Game - Computerphile
ML Fundamentals
Brute Forcing The Countdown Numbers Game - Computerphile
Computerphile Intermediate 5y ago
🧹 Tune Hyperparameters Easily with W&B Sweeps
ML Fundamentals
🧹 Tune Hyperparameters Easily with W&B Sweeps
Weights & Biases Intermediate 5y ago
Neural Networks from Scratch - P.6 Softmax Activation
ML Fundamentals
Neural Networks from Scratch - P.6 Softmax Activation
sentdex Beginner 5y ago
What's the most challenging skill you needed to learn in your career? | 69,420 Subscribers Live Q&A
ML Fundamentals
What's the most challenging skill you needed to learn in your career? | 69,420 Subscribers Live Q&A
Daniel Bourke Beginner 5y ago
Best computer vision competitions on Kaggle (for beginners)
ML Fundamentals
Best computer vision competitions on Kaggle (for beginners)
Abhishek Thakur Beginner 5y ago
¡Entrevista a ANDRES TORRUBIA! - Kaggle Master, Educación y el Futuro de la IA 🔥
ML Fundamentals
¡Entrevista a ANDRES TORRUBIA! - Kaggle Master, Educación y el Futuro de la IA 🔥
Dot CSV Beginner 5y ago
Pillars 1 & 2: Are We Close to a Deal? Next Steps
ML Fundamentals
Pillars 1 & 2: Are We Close to a Deal? Next Steps
Saïd Business School, University of Oxford Intermediate 5y ago
Pillars 1 & 2: Are We Close to a Deal? Other Views
ML Fundamentals
Pillars 1 & 2: Are We Close to a Deal? Other Views
Saïd Business School, University of Oxford Intermediate 5y ago
Superpowers for next gen web apps: Machine learning
ML Fundamentals
Superpowers for next gen web apps: Machine learning
Chrome for Developers Beginner 5y ago
Machine Learning 101 - Whiteboard Friday
ML Fundamentals
Machine Learning 101 - Whiteboard Friday
Moz Beginner 5y ago
Discover high-quality online degrees on Coursera that suit your lifestyle, schedule, and budget
ML Fundamentals
Discover high-quality online degrees on Coursera that suit your lifestyle, schedule, and budget
Coursera Beginner 5y ago
Transform Your Life and Impact the World With Courses on Coursera
ML Fundamentals
Transform Your Life and Impact the World With Courses on Coursera
Coursera Beginner 5y ago
Michael Littman: Reinforcement Learning and the Future of AI | Lex Fridman Podcast #144
ML Fundamentals
Michael Littman: Reinforcement Learning and the Future of AI | Lex Fridman Podcast #144
Lex Fridman Beginner 5y ago
What are Digital Signatures? - Computerphile
ML Fundamentals
What are Digital Signatures? - Computerphile
Computerphile Intermediate 5y ago
TensorFlow.js Community "Show & Tell" #4
ML Fundamentals
TensorFlow.js Community "Show & Tell" #4
TensorFlow Beginner 5y ago
Ishant Successful Transition Story From Data Analyst To Data Scientist In E&Y And Ericsson
ML Fundamentals
Ishant Successful Transition Story From Data Analyst To Data Scientist In E&Y And Ericsson
Krish Naik Intermediate 5y ago
Custom Handpose Gesture Detection with Tensorflow.Js and React.Js | Deep Learning Hand Tracking
ML Fundamentals
Custom Handpose Gesture Detection with Tensorflow.Js and React.Js | Deep Learning Hand Tracking
Nicholas Renotte Beginner 5y ago
Machine Learning for Characterizing Climate-related Disasters (Student Presentation, Group 20)
ML Fundamentals
Machine Learning for Characterizing Climate-related Disasters (Student Presentation, Group 20)
Sebastian Raschka Advanced 5y ago
Unemployment Rate Forecasting using Machine Learning (Student Presentation, Group 3)
ML Fundamentals
Unemployment Rate Forecasting using Machine Learning (Student Presentation, Group 3)
Sebastian Raschka Beginner 5y ago
Using Machine Learning to Predict NBA Games (Student Presentation, Group 22)
ML Fundamentals
Using Machine Learning to Predict NBA Games (Student Presentation, Group 22)
Sebastian Raschka Beginner 5y ago
Modeling COVID Positivity Rates at U.S. College Campuses (Student Presentation, Group 16)
ML Fundamentals
Modeling COVID Positivity Rates at U.S. College Campuses (Student Presentation, Group 16)
Sebastian Raschka Advanced 5y ago
SRE for ML Infra // Todd Underwood // MLOps Coffee Sessions #23
ML Fundamentals
SRE for ML Infra // Todd Underwood // MLOps Coffee Sessions #23
MLOps.community Beginner 5y ago
How To Move From Barely Doing BI to Doing AI // Joe Reis // MLOps Meetup #45
ML Fundamentals
How To Move From Barely Doing BI to Doing AI // Joe Reis // MLOps Meetup #45
MLOps.community Beginner 5y ago
Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439
ML Fundamentals
Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439
The TWIML AI Podcast with Sam Charrington Intermediate 5y ago
Ep#7 - ML and Encryption - It's all about secure insights
ML Fundamentals
Ep#7 - ML and Encryption - It's all about secure insights
MLOps.community Beginner 5y ago
Ep#6 - Privacy-preserving ML with Differential Privacy
ML Fundamentals
Ep#6 - Privacy-preserving ML with Differential Privacy
MLOps.community Beginner 5y ago
Pillars 1 & 2: Are We Close to a Deal? Views from the Inclusive Framework Steering Group
ML Fundamentals
Pillars 1 & 2: Are We Close to a Deal? Views from the Inclusive Framework Steering Group
Saïd Business School, University of Oxford Intermediate 5y ago
Pillars 1 & 2: Are We Close to a Deal? Welcome and ‘The State of Play’
ML Fundamentals
Pillars 1 & 2: Are We Close to a Deal? Welcome and ‘The State of Play’
Saïd Business School, University of Oxford Beginner 5y ago
Human-centric ML Infrastructure: A Netflix Original // Savin Goyal // MLOps Meetup #44
ML Fundamentals
Human-centric ML Infrastructure: A Netflix Original // Savin Goyal // MLOps Meetup #44
MLOps.community Beginner 5y ago
The Oxford Executive MBA experience during Covid-19
ML Fundamentals
The Oxford Executive MBA experience during Covid-19
Saïd Business School, University of Oxford Beginner 5y ago
Best NLP competitions on Kaggle (to learn from)
ML Fundamentals
Best NLP competitions on Kaggle (to learn from)
Abhishek Thakur Beginner 5y ago
Compete More Effectively on Kaggle using Weights & Biases
ML Fundamentals
Compete More Effectively on Kaggle using Weights & Biases
Weights & Biases Beginner 5y ago
I got a chance to try NVIDIA A100 GPU via qblocks.cloud
ML Fundamentals
I got a chance to try NVIDIA A100 GPU via qblocks.cloud
Abhishek Thakur Beginner 5y ago
Talks # 16: Issam Laradji; Build Large-Scale ML Projects & Manage Thousands of Experiments
ML Fundamentals
Talks # 16: Issam Laradji; Build Large-Scale ML Projects & Manage Thousands of Experiments
Abhishek Thakur Intermediate 5y ago
Fevers, Feuds and Diamonds: Ebola and the Ravages of History
ML Fundamentals
Fevers, Feuds and Diamonds: Ebola and the Ravages of History
Saïd Business School, University of Oxford Intermediate 5y ago
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Snowflake for Data Science: Intro to Snowpark ML for Python
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Snowflake for Data Science: Intro to Snowpark ML for Python
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Machine Learning in Production
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Machine Learning in Production
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Data Engineering & Pipeline Reliability for Machine Learning
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Data Engineering & Pipeline Reliability for Machine Learning
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Master CNNs with Python: Build, Train & Evaluate Models
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Master CNNs with Python: Build, Train & Evaluate Models
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Reinforcement Learning
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Reinforcement Learning
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Mastering Python for Data Science
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Mastering Python for Data Science
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