Foundations

ML Fundamentals

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

690
lessons
Parameter Prediction for Unseen Deep Architectures (w/ First Author Boris Knyazev)
ML Fundamentals
Parameter Prediction for Unseen Deep Architectures (w/ First Author Boris Knyazev)
Yannic Kilcher Advanced 4y ago
Oxford University Centre for Corporate Reputation - Virtual Reputation Symposium 2021
ML Fundamentals
Oxford University Centre for Corporate Reputation - Virtual Reputation Symposium 2021
Saïd Business School, University of Oxford Advanced 4y ago
Github Copilot: Good or Bad?
ML Fundamentals
Github Copilot: Good or Bad?
sentdex Advanced 4y ago
Sentdex Live: GTC Keynote News and free GPUs
ML Fundamentals
Sentdex Live: GTC Keynote News and free GPUs
sentdex Advanced 4y ago
Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga - #525
ML Fundamentals
Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga - #525
The TWIML AI Podcast with Sam Charrington Advanced 4y ago
Talks S2E5 (Luca Massaron): Hacking Bayesian Optimization
ML Fundamentals
Talks S2E5 (Luca Massaron): Hacking Bayesian Optimization
Abhishek Thakur Advanced 4y ago
Applications of Variational Autoencoders and Bayesian Optimization w/ J. M. Hernández Lobato - #510
ML Fundamentals
Applications of Variational Autoencoders and Bayesian Optimization w/ J. M. Hernández Lobato - #510
The TWIML AI Podcast with Sam Charrington Advanced 4y ago
Model serving platform // Kyle Gallatin // Coffee #43 short clip
ML Fundamentals
Model serving platform // Kyle Gallatin // Coffee #43 short clip
MLOps.community Advanced 4y ago
How new libraries can improve model performance with OctoML's Luis Ceze
ML Fundamentals
How new libraries can improve model performance with OctoML's Luis Ceze
Weights & Biases Advanced 4y ago
Spence Green — Enterprise-scale Machine Translation
ML Fundamentals
Spence Green — Enterprise-scale Machine Translation
Weights & Biases Advanced 4y ago
Introducing Retiarii: A deep learning exploratory-training framework on NNI
ML Fundamentals
Introducing Retiarii: A deep learning exploratory-training framework on NNI
Microsoft Research Advanced 4y ago
CI/CD for MLOPS Definition // Monmayuri Ray // MLOps Coffee Sessions #41 short clip
ML Fundamentals
CI/CD for MLOPS Definition // Monmayuri Ray // MLOps Coffee Sessions #41 short clip
MLOps.community Advanced 4y ago
Detecting Drift
ML Fundamentals
Detecting Drift
Data Skeptic Advanced 4y ago
Cloud Computing Expert Kesha Williams on Hiring, Mentoring, & Creating Community in Tech
ML Fundamentals
Cloud Computing Expert Kesha Williams on Hiring, Mentoring, & Creating Community in Tech
HackerRank Advanced 4y ago
Beyond Technical Acumen: Kaggle’s CEO on the Key Elements of a Data Scientist Skill Set
ML Fundamentals
Beyond Technical Acumen: Kaggle’s CEO on the Key Elements of a Data Scientist Skill Set
HackerRank Advanced 4y ago
Machine learning for Accessibility | Session
ML Fundamentals
Machine learning for Accessibility | Session
Google for Developers Advanced 4y ago
Does your app use ML? Make it a product with TFX | Session
ML Fundamentals
Does your app use ML? Make it a product with TFX | Session
TensorFlow Advanced 4y ago
Using a TensorFlow Python MIRNet model in Node.js - Made with TensorFlow.js
ML Fundamentals
Using a TensorFlow Python MIRNet model in Node.js - Made with TensorFlow.js
TensorFlow Advanced 4y ago
Knowledge Distillation as Semiparametric Inference
ML Fundamentals
Knowledge Distillation as Semiparametric Inference
Microsoft Research Advanced 4y ago
Advanced Developer Workloads with Built-In AI Acceleration
ML Fundamentals
Advanced Developer Workloads with Built-In AI Acceleration
The New Stack Advanced 4y ago
Colab Pro Now Available In India, Brazil, France, Thailand,Japan,UK- BOON FOR Data Science Aspirants
ML Fundamentals
Colab Pro Now Available In India, Brazil, France, Thailand,Japan,UK- BOON FOR Data Science Aspirants
Krish Naik Advanced 5y ago
Oxford High Performance Leadership Programme | Ethos and Virtual Design
ML Fundamentals
Oxford High Performance Leadership Programme | Ethos and Virtual Design
Saïd Business School, University of Oxford Advanced 5y ago
The Discovery That Transformed Pi
ML Fundamentals
The Discovery That Transformed Pi
Veritasium Advanced 5y ago
Building World-Class NLP Models with Transformers and Hugging Face | Grandmaster Series E4
ML Fundamentals
Building World-Class NLP Models with Transformers and Hugging Face | Grandmaster Series E4
NVIDIA Developer Advanced 5y ago
YOLOv3 from Scratch
ML Fundamentals
YOLOv3 from Scratch
Aladdin Persson Advanced 5y ago
Code With Me : Gibbs Sampling
ML Fundamentals
Code With Me : Gibbs Sampling
ritvikmath Advanced 5y ago
Build a 1D convolutional neural network, part 4: Training, evaluation, reporting
ML Fundamentals
Build a 1D convolutional neural network, part 4: Training, evaluation, reporting
Brandon Rohrer Advanced 5y ago
Implement 1D convolution, part 1: Convolution in Python from scratch
ML Fundamentals
Implement 1D convolution, part 1: Convolution in Python from scratch
Brandon Rohrer Advanced 5y ago
Code With Me : Decision Trees
ML Fundamentals
Code With Me : Decision Trees
ritvikmath Advanced 5y ago
Can we simulate a real robot?
ML Fundamentals
Can we simulate a real robot?
sentdex Advanced 4y ago
Spatiotemporal Data Analysis with Rose Yu - #508
ML Fundamentals
Spatiotemporal Data Analysis with Rose Yu - #508
The TWIML AI Podcast with Sam Charrington Advanced 4y ago
Luis Ceze — Accelerating Machine Learning Systems
ML Fundamentals
Luis Ceze — Accelerating Machine Learning Systems
Weights & Biases Advanced 4y ago
Phil Brown — How IPUs are Advancing Machine Intelligence
ML Fundamentals
Phil Brown — How IPUs are Advancing Machine Intelligence
Weights & Biases Advanced 4y ago
Probabilistic Numeric CNNs with Roberto Bondesan - #482
ML Fundamentals
Probabilistic Numeric CNNs with Roberto Bondesan - #482
The TWIML AI Podcast with Sam Charrington Advanced 4y ago
Sound Capture and Speech Enhancement for Communication and Distant Speech Recognition
ML Fundamentals
Sound Capture and Speech Enhancement for Communication and Distant Speech Recognition
Microsoft Research Advanced 4y ago
Self-Tuning Networks: Amortizing the Hypergradient Computation for Hyperparameter Optimization
ML Fundamentals
Self-Tuning Networks: Amortizing the Hypergradient Computation for Hyperparameter Optimization
Microsoft Research Advanced 4y ago
Project InnerEye: Augmenting cancer radiotherapy workflows with deep learning and open source
ML Fundamentals
Project InnerEye: Augmenting cancer radiotherapy workflows with deep learning and open source
Microsoft Research Advanced 5y ago
Digital Platforms: Saints or Sinners?
ML Fundamentals
Digital Platforms: Saints or Sinners?
Saïd Business School, University of Oxford Advanced 5y ago
The Great Decoupling? The Future of Relations between China and the West
ML Fundamentals
The Great Decoupling? The Future of Relations between China and the West
Saïd Business School, University of Oxford Advanced 5y ago
Directions in ML: Taking Advantage of Randomness in Expensive Optimization Problems
ML Fundamentals
Directions in ML: Taking Advantage of Randomness in Expensive Optimization Problems
Microsoft Research Advanced 5y ago
Advice on Publishing Machine Learning Papers with MLC's founder Rosanne Liu
ML Fundamentals
Advice on Publishing Machine Learning Papers with MLC's founder Rosanne Liu
Weights & Biases Advanced 5y ago
Call for Reproducing Papers
ML Fundamentals
Call for Reproducing Papers
Weights & Biases Advanced 5y ago
Build your own neural network, Exercise 9
ML Fundamentals
Build your own neural network, Exercise 9
Brandon Rohrer Advanced 5y ago
Build your own neural network, Exercise 8
ML Fundamentals
Build your own neural network, Exercise 8
Brandon Rohrer Advanced 5y ago
Build your own neural network, Exercise 7
ML Fundamentals
Build your own neural network, Exercise 7
Brandon Rohrer Advanced 5y ago
Build your own neural network, Exercise 6
ML Fundamentals
Build your own neural network, Exercise 6
Brandon Rohrer Advanced 5y ago
Build your own neural network, Exercise 5
ML Fundamentals
Build your own neural network, Exercise 5
Brandon Rohrer Advanced 5y ago
Build your own neural network, Exercise 4
ML Fundamentals
Build your own neural network, Exercise 4
Brandon Rohrer Advanced 5y ago
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Applied Plotting, Charting & Data Representation in Python
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Applied Plotting, Charting & Data Representation in Python
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Modeling in AWS
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Modeling in AWS
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AI for Medical Prognosis
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AI for Medical Prognosis
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Data Pipelines with TensorFlow Data Services
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Data Pipelines with TensorFlow Data Services
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GenAI for Algorithmic Trading
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GenAI for Algorithmic Trading
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Advanced Semantic Processing
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Advanced Semantic Processing
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