📐 ML Fundamentals

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

ML Fundamentals

End-to-End Data Science to Drive Business Decisions at LinkedIn with Burcu Baran - TWiML Talk #256

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

TensorFlow Federated (TFF): Machine Learning on Decentralized Data (TF Dev Summit ‘19)

TensorFlow Advanced 7y ago

ML Fundamentals

Powered by TensorFlow: utilizing deep learning to better predict extreme weather

TensorFlow Advanced 7y ago

ML Fundamentals

Neural Network from scratch - Part 3 (Backward Propagation)

Aladdin Persson Advanced 7y ago

ML Fundamentals

Neural Network from scratch - Part 2 (Forward Propagation)

Aladdin Persson Advanced 7y ago

ML Fundamentals

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Yannic Kilcher Advanced 7y ago

ML Fundamentals

Holistic Optimization of the LinkedIn News Feed - TWiML Talk #224

The TWIML AI Podcast with Sam Charrington Advanced 7y ago

ML Fundamentals

Drug Discovery with Machine Learning

Data Skeptic Advanced 7y ago

ML Fundamentals

LSTM Networks - EXPLAINED!

CodeEmporium Advanced 7y ago

ML Fundamentals

Reinforcement Learning 6: Policy Gradients and Actor Critics

Google DeepMind Advanced 7y ago

ML Fundamentals

Reinforcement Learning 10: Classic Games Case Study

Google DeepMind Advanced 7y ago

ML Fundamentals

PyTorch Datasets and DataLoaders - Training Set Exploration for Deep Learning and AI

deeplizard Advanced 7y ago

ML Fundamentals

These Neural Networks Empower Digital Artists

Two Minute Papers Advanced 7y ago

ML Fundamentals

This Neural Network Animates Quadrupeds

Two Minute Papers Advanced 7y ago

ML Fundamentals

Spam Filtering with Naive Bayes

Data Skeptic Advanced 7y ago

ML Fundamentals

Train image classifier using transfer learning - Fine-tuning MobileNet with Keras

deeplizard Advanced 7y ago

ML Fundamentals

Unpaired Image-Image Translation using CycleGANs

CodeEmporium Advanced 7y ago

ML Fundamentals

Mathematics of Machine Learning

Siraj Raval Advanced 8y ago

ML Fundamentals

Backpropagation – The Math Behind Optimization

365 Data Science Advanced 8y ago

ML Fundamentals

Deep Learning 5: Optimization for Machine Learning

Google DeepMind Advanced 7y ago

ML Fundamentals

Deep Learning 8: Unsupervised learning and generative models

Google DeepMind Advanced 7y ago

ML Fundamentals

Reinforcement Learning 8: Advanced Topics in Deep RL

Google DeepMind Advanced 7y ago

ML Fundamentals

Reinforcement Learning 7: Planning and Models

Google DeepMind Advanced 7y ago

ML Fundamentals

Reinforcement Learning 2: Exploration and Exploitation

Google DeepMind Advanced 7y ago

ML Fundamentals

Reinforcement Learning 3: Markov Decision Processes and Dynamic Programming

Google DeepMind Advanced 7y ago

ML Fundamentals

Reinforcement Learning 4: Model-Free Prediction and Control

Google DeepMind Advanced 7y ago

ML Fundamentals

Reinforcement Learning 5: Function Approximation and Deep Reinforcement Learning

Google DeepMind Advanced 7y ago

ML Fundamentals

Productive Machine Learning at LinkedIn with Bee-Chung Chen - TWiML Talk #200

The TWIML AI Podcast with Sam Charrington Advanced 7y ago

ML Fundamentals

Saving and Loading Models (Coding TensorFlow)

TensorFlow Advanced 7y ago

ML Fundamentals

DeepMind's AI Takes An IQ Test! 🤖

Two Minute Papers Advanced 7y ago

ML Fundamentals

Deep Gradient Compression for Distributed Training with Song Han - #146

The TWIML AI Podcast with Sam Charrington Advanced 7y ago

ML Fundamentals

Training Data for Computer Vision at Figure Eight with Qazaleh Mirsharif - #144

The TWIML AI Podcast with Sam Charrington Advanced 7y ago

ML Fundamentals

Deep Learning for Live-Cell Imaging with David Van Valen - #141

The TWIML AI Podcast with Sam Charrington Advanced 7y ago

ML Fundamentals

Practical Deep Learning with Rachel Thomas - #138

The TWIML AI Podcast with Sam Charrington Advanced 7y ago

ML Fundamentals

Scalable Differential Privacy for Deep Learning with Nicolas Papernot - #134

The TWIML AI Podcast with Sam Charrington Advanced 7y ago

ML Fundamentals

Optimal Transport and Machine Learning with Marco Cuturi - #131

The TWIML AI Podcast with Sam Charrington Advanced 7y ago

ML Fundamentals

Applied AI at The Coca-Cola Company (TensorFlow Dev Summit 2018)

TensorFlow Advanced 8y ago

ML Fundamentals

Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang - #119

The TWIML AI Podcast with Sam Charrington Advanced 8y ago

ML Fundamentals

Separating Vocals in Recorded Music at Spotify with Eric Humphrey - #98

The TWIML AI Podcast with Sam Charrington Advanced 8y ago

ML Fundamentals

Accelerating Deep Learning with Mixed Precision Arithmetic, w/ Greg Diamos - #97

The TWIML AI Podcast with Sam Charrington Advanced 8y ago

ML Fundamentals

AI Beats Radiologists at Pneumonia Detection | Two Minute Papers #214

Two Minute Papers Advanced 8y ago

ML Fundamentals

Scaling AI for the Enterprise with Mazin Gilbert - #78

The TWIML AI Podcast with Sam Charrington Advanced 8y ago

ML Fundamentals

This Neural Network Optimizes Itself | Two Minute Papers #212

Two Minute Papers Advanced 8y ago

ML Fundamentals

Scaleable Distributed Deep Learning with Hillery Hunter - #77

The TWIML AI Podcast with Sam Charrington Advanced 8y ago

ML Fundamentals

Towards Artificial General Intelligence with Greg Brockman - #74

The TWIML AI Podcast with Sam Charrington Advanced 8y ago

ML Fundamentals

How Do Neural Networks See The World? Pt 2. | Two Minute Papers #211

Two Minute Papers Advanced 8y ago

ML Fundamentals

The Complexity of Learning Neural Networks

Data Skeptic Advanced 8y ago

ML Fundamentals

Linear Regression and Multiple Regression

CodeEmporium Advanced 8y ago

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VLSI CAD Part II: Layout

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Oracle Cloud Infrastructure AI Foundations

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Responsible AI: Applying AI Principles with GC - Português

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Responsible AI: Applying AI Principles with Google Cloud - Deutsch

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Physics 102 - Electric Potential and DC Circuits

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Basic Data Processing and Visualization

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Honors Algebra 2: Algebraic, Exponential & Log Functions

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Deep Learning and Reinforcement Learning

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Calculus through Data & Modelling: Series and Integration

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Solve Business Problems with AI and Machine Learning

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Deep Learning - Crash Course 2023

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Machine Learning Operations (MLOps): Getting Started - Français

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Databricks Machine Learning Fundamentals

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Cloud Computing Foundations

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The Finite Element Method for Problems in Physics

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MLOps in R: Deploying machine learning models using vetiver

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Data for Machine Learning

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Network and Security Optimization in Telecommunication

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