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📐 ML Fundamentals

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

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Keynote: Unlocking exabytes of training data through privacy preserving machine learning
ML Fundamentals
Keynote: Unlocking exabytes of training data through privacy preserving machine learning
Microsoft Research Advanced 4y ago
Opening remarks: Cloud Intelligence/AIOps
ML Fundamentals
Opening remarks: Cloud Intelligence/AIOps
Microsoft Research Advanced 4y ago
JAX MD: A Framework for Differentiable Atomistic Physics
ML Fundamentals
JAX MD: A Framework for Differentiable Atomistic Physics
Weights & Biases Advanced 4y ago
Does Model Performance Even Matter?
ML Fundamentals
Does Model Performance Even Matter?
ritvikmath Advanced 4y ago
Masters in Financial Economics | Oxford Saïd Business School
ML Fundamentals
Masters in Financial Economics | Oxford Saïd Business School
Saïd Business School, University of Oxford Advanced 4y ago
Bike Share Demand Forecasting
ML Fundamentals
Bike Share Demand Forecasting
Data Skeptic Advanced 4y ago
The Not So Talked About Reasons Model Monitoring Fails // Oren Razon // MLOps Meetup #88
ML Fundamentals
The Not So Talked About Reasons Model Monitoring Fails // Oren Razon // MLOps Meetup #88
MLOps.community Advanced 4y ago
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
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
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
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
Research talk: Computationally efficient large-scale AI
ML Fundamentals
Research talk: Computationally efficient large-scale AI
Microsoft Research Advanced 4y ago
Research talk: Towards data-efficient machine learning with meta-learning
ML Fundamentals
Research talk: Towards data-efficient machine learning with meta-learning
Microsoft Research Advanced 4y ago
Panel: Computer vision in the next decade: Deeper or broader
ML Fundamentals
Panel: Computer vision in the next decade: Deeper or broader
Microsoft Research Advanced 4y ago
Panel: Causal ML Research at Microsoft
ML Fundamentals
Panel: Causal ML Research at Microsoft
Microsoft Research Advanced 4y ago
Talk: The implicit bias of optimization algorithms in deep learning
ML Fundamentals
Talk: The implicit bias of optimization algorithms in deep learning
Microsoft Research Advanced 4y ago
Talk: Theoretical Aspects of Gradient Methods in Deep Learning
ML Fundamentals
Talk: Theoretical Aspects of Gradient Methods in Deep Learning
Microsoft Research Advanced 4y ago
A law of robustness and the importance of overparametrization in deep learning
ML Fundamentals
A law of robustness and the importance of overparametrization in deep learning
Microsoft Research Advanced 4y 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
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
Luis Ceze — Accelerating Machine Learning Systems
ML Fundamentals
Luis Ceze — Accelerating Machine Learning Systems
Weights & Biases 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
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
Knowledge Distillation as Semiparametric Inference
ML Fundamentals
Knowledge Distillation as Semiparametric Inference
Microsoft Research 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 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
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
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
📚 Coursera Courses Opens on Coursera · Free to audit
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Databricks Associate Developer: Apache Spark with Python
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Self-paced
Databricks Associate Developer: Apache Spark with Python
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Introduction to Digital health
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Self-paced
Introduction to Digital health
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Introduction to Computer Vision
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Self-paced
Introduction to Computer Vision
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Deep-Dive into Tensorflow Activation Functions
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Self-paced
Deep-Dive into Tensorflow Activation Functions
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GenAI and Model Selection
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Self-paced
GenAI and Model Selection
Opens on Coursera ↗
Introduction to Image Generation - Deutsch
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Self-paced
Introduction to Image Generation - Deutsch
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