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
Impacts On Hiring For Jobs Due To The Recent Events
ML Fundamentals
Impacts On Hiring For Jobs Due To The Recent Events
Krish Naik Intermediate 5y ago
AI Enterprise Workflow Study Group -  Course 4, Week 1
ML Fundamentals
AI Enterprise Workflow Study Group - Course 4, Week 1
The TWIML AI Podcast with Sam Charrington Intermediate 5y ago
AI Enterprise Workflow Study Group -  Course 4, Week 2
ML Fundamentals
AI Enterprise Workflow Study Group - Course 4, Week 2
The TWIML AI Podcast with Sam Charrington Intermediate 5y ago
Hottest Domains To Work To Get Into Data Science Careers
ML Fundamentals
Hottest Domains To Work To Get Into Data Science Careers
Krish Naik Intermediate 5y ago
Coding ARMA Model : Time Series Talk
ML Fundamentals
Coding ARMA Model : Time Series Talk
ritvikmath Intermediate 5y ago
Oxford Scenarios Programme
ML Fundamentals
Oxford Scenarios Programme
Saïd Business School, University of Oxford Intermediate 5y ago
Special Lecture: The How and the Why of IFR
ML Fundamentals
Special Lecture: The How and the Why of IFR
MIT OpenCourseWare Intermediate 5y ago
Lecture 5: Charts and Airspace
ML Fundamentals
Lecture 5: Charts and Airspace
MIT OpenCourseWare Intermediate 5y ago
GOTO Episode 4
ML Fundamentals
GOTO Episode 4
Saïd Business School, University of Oxford Intermediate 5y ago
Webinar: Admissions for University of North Texas Bachelor of Applied Arts and Sciences (B.A.A.S.)
ML Fundamentals
Webinar: Admissions for University of North Texas Bachelor of Applied Arts and Sciences (B.A.A.S.)
Coursera Intermediate 5y ago
Linear Regression Normal Equation Python
ML Fundamentals
Linear Regression Normal Equation Python
Aladdin Persson Intermediate 5y ago
Jack Clark — Building Trustworthy AI Systems
ML Fundamentals
Jack Clark — Building Trustworthy AI Systems
Weights & Biases Intermediate 5y ago
MA Model Code Example : Time Series Talk
ML Fundamentals
MA Model Code Example : Time Series Talk
ritvikmath Intermediate 5y ago
50 Years of Computer Science: Professor Brailsford Q&A - Computerphile
ML Fundamentals
50 Years of Computer Science: Professor Brailsford Q&A - Computerphile
Computerphile Intermediate 5y ago
Shortcut Learning in Deep Neural Networks
ML Fundamentals
Shortcut Learning in Deep Neural Networks
Yannic Kilcher Intermediate 5y ago
Who has the highest standards in ML?
ML Fundamentals
Who has the highest standards in ML?
MLOps.community Intermediate 5y ago
Survivorship Bias in machine learning tutorials
ML Fundamentals
Survivorship Bias in machine learning tutorials
MLOps.community Intermediate 5y 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 5y ago
Inside TensorFlow: TF Debugging
ML Fundamentals
Inside TensorFlow: TF Debugging
TensorFlow Intermediate 5y ago
TCP Meltdown - Computerphile
ML Fundamentals
TCP Meltdown - Computerphile
Computerphile Intermediate 5y ago
Theory: Applications of Data Science
ML Fundamentals
Theory: Applications of Data Science
DataCamp Intermediate 5y ago
Computer Vision is Not Perfect
ML Fundamentals
Computer Vision is Not Perfect
Data Skeptic Intermediate 6y ago
10K Subscribers: Approaching (almost) Any Machine Learning Problem and Talk Show
ML Fundamentals
10K Subscribers: Approaching (almost) Any Machine Learning Problem and Talk Show
Abhishek Thakur Intermediate 6y ago
Lecture 18: Weight and Balance
ML Fundamentals
Lecture 18: Weight and Balance
MIT OpenCourseWare Intermediate 5y ago
Lecture 17: Small UAS Operations
ML Fundamentals
Lecture 17: Small UAS Operations
MIT OpenCourseWare Intermediate 5y ago
Lecture 8: Helicopter Aerodynamics
ML Fundamentals
Lecture 8: Helicopter Aerodynamics
MIT OpenCourseWare Intermediate 5y ago
Lecture 14: Human Factors
ML Fundamentals
Lecture 14: Human Factors
MIT OpenCourseWare Intermediate 5y ago
Lecture 11: Aircraft Ownership and Maintenance
ML Fundamentals
Lecture 11: Aircraft Ownership and Maintenance
MIT OpenCourseWare Intermediate 5y ago
Special Lecture: Oshkosh 2018
ML Fundamentals
Special Lecture: Oshkosh 2018
MIT OpenCourseWare Intermediate 5y ago
GOTO 2020 Climate Action Summit with keynote speaker Al Gore trailer
ML Fundamentals
GOTO 2020 Climate Action Summit with keynote speaker Al Gore trailer
Saïd Business School, University of Oxford Intermediate 5y ago
Who Is The Best Person To Judge You? Motivational Talks
ML Fundamentals
Who Is The Best Person To Judge You? Motivational Talks
Krish Naik Intermediate 5y ago
Live Q&A Data Science
ML Fundamentals
Live Q&A Data Science
Krish Naik Intermediate 5y 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 5y 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 5y ago
Specific challenges in Machine Learning
ML Fundamentals
Specific challenges in Machine Learning
MLOps.community Intermediate 5y ago
MLOps: Airflow Pros and Cons
ML Fundamentals
MLOps: Airflow Pros and Cons
MLOps.community Intermediate 5y ago
Covid-19 and the Oxford Scenario Planning Approach
ML Fundamentals
Covid-19 and the Oxford Scenario Planning Approach
Saïd Business School, University of Oxford Intermediate 5y 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 5y 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 5y ago
Live Q&A Data Science
ML Fundamentals
Live Q&A Data Science
Krish Naik Intermediate 5y 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
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
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
Hybrid Data Science Teams @SurveyMonkey
MLOps.community Intermediate 6y ago
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