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
What Kind of Computation is Human Cognition? A Brief History of Thought (Episode 2/2)
ML Fundamentals
What Kind of Computation is Human Cognition? A Brief History of Thought (Episode 2/2)
Microsoft Research Advanced 5y ago
Best Image Colorization AI 2020
ML Fundamentals
Best Image Colorization AI 2020
bycloud Advanced 5y ago
Model Explainability Forum
ML Fundamentals ⚡ AI Lesson
Model Explainability Forum
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
Nvidia Titan RTX Unboxing And Specs And Comparison- Deep Learning
ML Fundamentals
Nvidia Titan RTX Unboxing And Specs And Comparison- Deep Learning
Krish Naik Advanced 5y ago
Frontiers in ML: Learning from Limited Labeled Data: Challenges and Opportunities for NLP
ML Fundamentals ⚡ AI Lesson
Frontiers in ML: Learning from Limited Labeled Data: Challenges and Opportunities for NLP
Microsoft Research Advanced 5y ago
Radial Basis Function Networks for Convolutional Neural Networks with Mohammadreza Amirian
ML Fundamentals ⚡ AI Lesson
Radial Basis Function Networks for Convolutional Neural Networks with Mohammadreza Amirian
Weights & Biases Advanced 5y ago
The Case for Hardware-ML Model Co-design with Diana Marculescu - #391
ML Fundamentals ⚡ AI Lesson
The Case for Hardware-ML Model Co-design with Diana Marculescu - #391
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
DeepMind x UCL | Deep Learning Lectures | 12/12 |  Responsible Innovation
ML Fundamentals
DeepMind x UCL | Deep Learning Lectures | 12/12 | Responsible Innovation
Google DeepMind Advanced 5y ago
DeepMind x UCL | Deep Learning Lectures | 11/12 | Modern Latent Variable Models
ML Fundamentals
DeepMind x UCL | Deep Learning Lectures | 11/12 | Modern Latent Variable Models
Google DeepMind Advanced 5y ago
MLOps Meetup #21 // Deep Dive on Paperspace Tooling // Misha Kutsovsky
ML Fundamentals
MLOps Meetup #21 // Deep Dive on Paperspace Tooling // Misha Kutsovsky
MLOps.community Advanced 5y ago
Alligator Pears, Random Variables, and Gradient Descent
ML Fundamentals ⚡ AI Lesson
Alligator Pears, Random Variables, and Gradient Descent
Weights & Biases Advanced 5y ago
Oxford Saïd and the Education & Training Foundation's portfolio of leadership programmes
ML Fundamentals ⚡ AI Lesson
Oxford Saïd and the Education & Training Foundation's portfolio of leadership programmes
Saïd Business School, University of Oxford Advanced 5y ago
Robust Fit to Nature
ML Fundamentals ⚡ AI Lesson
Robust Fit to Nature
Data Skeptic Advanced 5y ago
Linear Algebra Ep 2 | Dot Product in Linear Algebra for Data Science
ML Fundamentals
Linear Algebra Ep 2 | Dot Product in Linear Algebra for Data Science
Harshit Tyagi Advanced 5y ago
Model monitoring with Fury Data Apps at Mercado Libre
ML Fundamentals ⚡ AI Lesson
Model monitoring with Fury Data Apps at Mercado Libre
MLOps.community Advanced 5y ago
My Laptop Lenovo Legion Y 540 Performance After Using 1 Month
ML Fundamentals
My Laptop Lenovo Legion Y 540 Performance After Using 1 Month
Krish Naik Advanced 6y ago
BERT Neural Network - EXPLAINED!
ML Fundamentals ⚡ AI Lesson
BERT Neural Network - EXPLAINED!
CodeEmporium Advanced 6y ago
Neural Network from Scratch - Machine Learning Python
ML Fundamentals ⚡ AI Lesson
Neural Network from Scratch - Machine Learning Python
Aladdin Persson Advanced 6y ago
AI Weekly Update - April 27th, 2020 (#19)
ML Fundamentals
AI Weekly Update - April 27th, 2020 (#19)
Connor Shorten Advanced 6y ago
SVM from Scratch - Machine Learning Python (Support Vector Machine)
ML Fundamentals ⚡ AI Lesson
SVM from Scratch - Machine Learning Python (Support Vector Machine)
Aladdin Persson Advanced 6y ago
Supervised Contrastive Learning
ML Fundamentals ⚡ AI Lesson
Supervised Contrastive Learning
Yannic Kilcher Advanced 6y ago
How do GPUs speed up Neural Network training?
ML Fundamentals ⚡ AI Lesson
How do GPUs speed up Neural Network training?
CodeEmporium Advanced 6y ago
Advanced Theory | Neural Style Transfer #4
ML Fundamentals
Advanced Theory | Neural Style Transfer #4
Aleksa Gordić - The AI Epiphany Advanced 6y ago
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
ML Fundamentals
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Yannic Kilcher Advanced 6y ago
Inside TensorFlow: tf.data + tf.distribute
ML Fundamentals ⚡ AI Lesson
Inside TensorFlow: tf.data + tf.distribute
TensorFlow Advanced 6y ago
Distributed TensorFlow model training on Cloud AI Platform (TF Dev Summit '20)
ML Fundamentals ⚡ AI Lesson
Distributed TensorFlow model training on Cloud AI Platform (TF Dev Summit '20)
TensorFlow Advanced 6y ago
Women at DeepMind | Applying for Technical Roles
ML Fundamentals ⚡ AI Lesson
Women at DeepMind | Applying for Technical Roles
Google DeepMind Advanced 5y ago
DeepMind x UCL | Deep Learning Lectures | 10/12 |  Unsupervised Representation Learning
ML Fundamentals
DeepMind x UCL | Deep Learning Lectures | 10/12 | Unsupervised Representation Learning
Google DeepMind Advanced 5y ago
Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen - #382
ML Fundamentals ⚡ AI Lesson
Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen - #382
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
DeepMind x UCL | Deep Learning Lectures | 6/12 | Sequences and Recurrent Networks
ML Fundamentals
DeepMind x UCL | Deep Learning Lectures | 6/12 | Sequences and Recurrent Networks
Google DeepMind Advanced 5y ago
DeepMind x UCL | Deep Learning Lectures | 3/12 | Convolutional Neural Networks for Image Recognition
ML Fundamentals
DeepMind x UCL | Deep Learning Lectures | 3/12 | Convolutional Neural Networks for Image Recognition
Google DeepMind Advanced 5y ago
DeepMind x UCL | Deep Learning Lectures | 1/12 | Intro to Machine Learning & AI
ML Fundamentals ⚡ AI Lesson
DeepMind x UCL | Deep Learning Lectures | 1/12 | Intro to Machine Learning & AI
Google DeepMind Advanced 5y ago
DeepMind x UCL | Deep Learning Lectures | 5/12 |  Optimization for Machine Learning
ML Fundamentals
DeepMind x UCL | Deep Learning Lectures | 5/12 | Optimization for Machine Learning
Google DeepMind Advanced 5y ago
DeepMind x UCL | Deep Learning Lectures | 2/12 |  Neural Networks Foundations
ML Fundamentals
DeepMind x UCL | Deep Learning Lectures | 2/12 | Neural Networks Foundations
Google DeepMind Advanced 5y ago
Engineering a Less Artificial Intelligence with Andreas Tolias - #379
ML Fundamentals ⚡ AI Lesson
Engineering a Less Artificial Intelligence with Andreas Tolias - #379
The TWIML AI Podcast with Sam Charrington Advanced 5y ago
Benchmarks for collaborative Machine Learning with Stacey Svetlichnaya
ML Fundamentals ⚡ AI Lesson
Benchmarks for collaborative Machine Learning with Stacey Svetlichnaya
Weights & Biases Advanced 5y ago
ML platform Fury Data Apps at Mecado Libre
ML Fundamentals
ML platform Fury Data Apps at Mecado Libre
MLOps.community Advanced 5y ago
What parts of the mercado libre ML platforms are automatted
ML Fundamentals ⚡ AI Lesson
What parts of the mercado libre ML platforms are automatted
MLOps.community Advanced 5y ago
Litox View of the state of ML today
ML Fundamentals
Litox View of the state of ML today
MLOps.community Advanced 5y ago
Fury Platform and Fury Data Apps at Mercado Libre
ML Fundamentals ⚡ AI Lesson
Fury Platform and Fury Data Apps at Mercado Libre
MLOps.community Advanced 5y ago
MLOps community meetup #11 // Machine Learning at Scale in Mercado Libre with Carlos de la Torre
ML Fundamentals
MLOps community meetup #11 // Machine Learning at Scale in Mercado Libre with Carlos de la Torre
MLOps.community Advanced 6y ago
Training ML models on live datasets in a GDPR world
ML Fundamentals
Training ML models on live datasets in a GDPR world
MLOps.community Advanced 6y ago
Surprising Utility of Surprise: Why ML Uses Negative Log Probabilities - Charles Frye
ML Fundamentals ⚡ AI Lesson
Surprising Utility of Surprise: Why ML Uses Negative Log Probabilities - Charles Frye
Weights & Biases Advanced 6y ago
Naive Bayes from Scratch - Machine Learning Python
ML Fundamentals
Naive Bayes from Scratch - Machine Learning Python
Aladdin Persson Advanced 6y ago
Pytorch LeNet implementation from scratch
ML Fundamentals ⚡ AI Lesson
Pytorch LeNet implementation from scratch
Aladdin Persson Advanced 6y ago
How Linear Algebra is not like Algebra with Charles Frye
ML Fundamentals
How Linear Algebra is not like Algebra with Charles Frye
Weights & Biases Advanced 6y ago
Testing Machine Learning Models with Eric Schles
ML Fundamentals
Testing Machine Learning Models with Eric Schles
Weights & Biases Advanced 6y ago
Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20)
ML Fundamentals ⚡ AI Lesson
Optimize your models with TF Model Optimization Toolkit (TF Dev Summit '20)
TensorFlow Advanced 6y ago
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Formal Languages and Applications
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Formal Languages and Applications
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Foundations of Data Science and Machine Learning with Python
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Debug ML Code: Fix, Trace & Evaluate
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Debug ML Code: Fix, Trace & Evaluate
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Create Image Captioning Models - Italiano
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Create Image Captioning Models - Italiano
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Perform data science with Azure Databricks
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Perform data science with Azure Databricks
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Remote Sensing Image Acquisition, Analysis and Applications
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Remote Sensing Image Acquisition, Analysis and Applications
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