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📐 ML Fundamentals

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

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Hyperparameter Tuning with W&B Sweeps
ML Fundamentals ⚡ AI Lesson
Hyperparameter Tuning with W&B Sweeps
Weights & Biases Intermediate 3y ago
What do Computer Scientists Read? - Computerphile
ML Fundamentals ⚡ AI Lesson
What do Computer Scientists Read? - Computerphile
Computerphile Intermediate 3y ago
Geospatial Machine Learning with Kumar Chellapilla - 607
ML Fundamentals ⚡ AI Lesson
Geospatial Machine Learning with Kumar Chellapilla - 607
The TWIML AI Podcast with Sam Charrington Intermediate 3y ago
Using W&B Tables and Reports for Enhanced EDA in MLOps
ML Fundamentals
Using W&B Tables and Reports for Enhanced EDA in MLOps
Weights & Biases Intermediate 3y ago
FastAPI for Machine Learning: Live coding an ML web application.
ML Fundamentals
FastAPI for Machine Learning: Live coding an ML web application.
DeepLearningAI Intermediate 3y ago
Fireside Chat #8: Navigating the Full Stack of Machine Learning
ML Fundamentals ⚡ AI Lesson
Fireside Chat #8: Navigating the Full Stack of Machine Learning
Outerbounds Intermediate 3y ago
Masterclass: Servitization - Selling products through services | Indian School of Business
ML Fundamentals
Masterclass: Servitization - Selling products through services | Indian School of Business
Coursera Intermediate 3y ago
Rosanne Liu - career creation for non-standard candidates
ML Fundamentals
Rosanne Liu - career creation for non-standard candidates
Cohere Intermediate 3y ago
Building Cohere API Demo App With Streamlit | Adrien Morisot
ML Fundamentals
Building Cohere API Demo App With Streamlit | Adrien Morisot
Cohere Intermediate 3y ago
On the Adversarial Robustness of Deep Learning
ML Fundamentals
On the Adversarial Robustness of Deep Learning
Microsoft Research Intermediate 3y ago
Building drones to restore deforestation
ML Fundamentals
Building drones to restore deforestation
Google for Developers Intermediate 3y ago
#41 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
ML Fundamentals
#41 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
DeepLearningAI Intermediate 3y ago
Stanford CS229M - Lecture 14: Neural Tangent Kernel, Implicit regularization of gradient descent
ML Fundamentals
Stanford CS229M - Lecture 14: Neural Tangent Kernel, Implicit regularization of gradient descent
Stanford Online Intermediate 3y ago
How to Assemble a Deep Learning Machine - Full Process | Part 2
ML Fundamentals
How to Assemble a Deep Learning Machine - Full Process | Part 2
Aleksa Gordić - The AI Epiphany Intermediate 3y ago
Engineering Production NLP Systems at T-Mobile - 600
ML Fundamentals ⚡ AI Lesson
Engineering Production NLP Systems at T-Mobile - 600
The TWIML AI Podcast with Sam Charrington Intermediate 3y ago
Fireside Chat #7: How to Build an Enterprise Machine Learning Platform from Scratch
ML Fundamentals ⚡ AI Lesson
Fireside Chat #7: How to Build an Enterprise Machine Learning Platform from Scratch
Outerbounds Intermediate 3y ago
The RS-232 protocol
ML Fundamentals
The RS-232 protocol
Ben Eater Intermediate 3y ago
Sean Carroll | The Biggest Ideas in the Universe: Space, Time and Motion | Talks at Google
ML Fundamentals
Sean Carroll | The Biggest Ideas in the Universe: Space, Time and Motion | Talks at Google
Talks at Google Intermediate 3y ago
Accelerate deep learning model development with cloud custom environments - AWS Online Tech Talks
ML Fundamentals
Accelerate deep learning model development with cloud custom environments - AWS Online Tech Talks
AWS Developers Intermediate 3y ago
Role of Optimization in Machine Learning & Deep Learning | DataHour | Analytics Vidhya
ML Fundamentals
Role of Optimization in Machine Learning & Deep Learning | DataHour | Analytics Vidhya
Analytics Vidhya Intermediate 3y ago
Train & deploy your deep learning models with Kubeflow integrated with Amazon SageMaker
ML Fundamentals
Train & deploy your deep learning models with Kubeflow integrated with Amazon SageMaker
AWS Developers Intermediate 3y ago
Markov Decision Processes - Computerphile
ML Fundamentals ⚡ AI Lesson
Markov Decision Processes - Computerphile
Computerphile Intermediate 3y ago
Need All Your Help To Test NeuroLabs Coding Platform Today At 6pm
ML Fundamentals
Need All Your Help To Test NeuroLabs Coding Platform Today At 6pm
Krish Naik Intermediate 3y ago
An Integration Conundrum - Numberphile
ML Fundamentals
An Integration Conundrum - Numberphile
Numberphile Intermediate 3y ago
Transforming Lives | Data Science Immersive Bootcamp
ML Fundamentals
Transforming Lives | Data Science Immersive Bootcamp
Analytics Vidhya Intermediate 3y ago
#40 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
ML Fundamentals
#40 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
DeepLearningAI Intermediate 3y ago
#39 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
ML Fundamentals
#39 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
DeepLearningAI Intermediate 3y ago
#38 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
ML Fundamentals
#38 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
DeepLearningAI Intermediate 3y ago
#37 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
ML Fundamentals
#37 Machine Learning Specialization [Course 1, Week 3, Lesson 4]
DeepLearningAI Intermediate 3y ago
#36 Machine Learning Specialization [Course 1, Week 3, Lesson 3]
ML Fundamentals
#36 Machine Learning Specialization [Course 1, Week 3, Lesson 3]
DeepLearningAI Intermediate 3y ago
#30 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
ML Fundamentals
#30 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
DeepLearningAI Intermediate 3y ago
#29 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
ML Fundamentals
#29 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
DeepLearningAI Intermediate 3y ago
#28 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
ML Fundamentals
#28 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
DeepLearningAI Intermediate 3y ago
#27 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
ML Fundamentals
#27 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
DeepLearningAI Intermediate 3y ago
#26 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
ML Fundamentals
#26 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
DeepLearningAI Intermediate 3y ago
#25 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
ML Fundamentals ⚡ AI Lesson
#25 Machine Learning Specialization [Course 1, Week 2, Lesson 2]
DeepLearningAI Intermediate 3y ago
#24 Machine Learning Specialization [Course 1, Week 2, Lesson 1]
ML Fundamentals
#24 Machine Learning Specialization [Course 1, Week 2, Lesson 1]
DeepLearningAI Intermediate 3y ago
How to Build a Real-World AI Project Portfolio
ML Fundamentals
How to Build a Real-World AI Project Portfolio
DeepLearningAI Intermediate 3y ago
Branching out of the Notebook: ML Application Development with GitHub
ML Fundamentals
Branching out of the Notebook: ML Application Development with GitHub
DeepLearningAI Intermediate 3y ago
The 3 factors that Determine the success of ML projects
ML Fundamentals ⚡ AI Lesson
The 3 factors that Determine the success of ML projects
Outerbounds Intermediate 3y ago
Is the premise of data-centric AI flawed?
ML Fundamentals ⚡ AI Lesson
Is the premise of data-centric AI flawed?
Outerbounds Intermediate 3y ago
The 4 main tasks in the production ML lifecycle
ML Fundamentals ⚡ AI Lesson
The 4 main tasks in the production ML lifecycle
Outerbounds Intermediate 3y ago
What even is a 10x ML engineer?
ML Fundamentals ⚡ AI Lesson
What even is a 10x ML engineer?
Outerbounds Intermediate 3y ago
Why data scientists love and hate notebooks: velocity and validation
ML Fundamentals ⚡ AI Lesson
Why data scientists love and hate notebooks: velocity and validation
Outerbounds Intermediate 3y ago
ML engineering vs traditional software engineering: similarities and differences
ML Fundamentals ⚡ AI Lesson
ML engineering vs traditional software engineering: similarities and differences
Outerbounds Intermediate 3y ago
Easily connect your ML models to data lakes using Amazon SageMaker Studio - AWs Online Tech Talk
ML Fundamentals
Easily connect your ML models to data lakes using Amazon SageMaker Studio - AWs Online Tech Talk
AWS Developers Intermediate 3y ago
Smart Manufacturing Episode #3: How Machine Learning and IIoT Improve OEE - AWS Online Tech Talks
ML Fundamentals
Smart Manufacturing Episode #3: How Machine Learning and IIoT Improve OEE - AWS Online Tech Talks
AWS Developers Intermediate 3y ago
Making Sense of Health Data with Amazon HealthLake - AWS Online Tech Talks
ML Fundamentals
Making Sense of Health Data with Amazon HealthLake - AWS Online Tech Talks
AWS Developers Intermediate 3y ago
📚 Coursera Courses Opens on Coursera · Free to audit
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Foundations of Quantum Mechanics
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Self-paced
Foundations of Quantum Mechanics
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Classify Images of Cats and Dogs using Transfer Learning
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Self-paced
Classify Images of Cats and Dogs using Transfer Learning
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Réseaux neuronaux et Deep Learning
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Self-paced
Réseaux neuronaux et Deep Learning
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Build Image Quality Inspection using AWS Lookout for Vision
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Self-paced
Build Image Quality Inspection using AWS Lookout for Vision
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Support Vector Machines in Python, From Start to Finish
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Self-paced
Support Vector Machines in Python, From Start to Finish
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Interpretable Machine Learning Applications: Part 1
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Self-paced
Interpretable Machine Learning Applications: Part 1
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