📐 ML Fundamentals

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

ML Fundamentals

AutoML-Zero

Connor Shorten Advanced 6y ago

ML Fundamentals

Deep Learning for Symbolic Mathematics

Yannic Kilcher Advanced 6y ago

ML Fundamentals

This Neural Network Turns Videos Into 60 FPS!

Two Minute Papers Advanced 6y ago

ML Fundamentals

Advance House Price Prediction-Feature Selection

Krish Naik Advanced 6y ago

ML Fundamentals

Adversarial Explanations

Data Skeptic Advanced 6y ago

ML Fundamentals

Networking Optimizations for Multi-Node Deep Learning on Kubernetes with Erez Cohen - #345

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

Advance House Price Prediction-Feature Engineering Part 1

Krish Naik Advanced 6y ago

ML Fundamentals

Oxford Impact Investing Webinar - Ask the Expert

Saïd Business School, University of Oxford Advanced 6y ago

ML Fundamentals

Social Intelligence with Blaise Aguera y Arcas - #340

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

Inside TensorFlow: TF Model Optimization Toolkit (Quantization and Pruning)

TensorFlow Advanced 6y ago

ML Fundamentals

Daniel Kahneman: Deep Learning (System 1 and System 2) | AI Podcast Clips

Lex Fridman Advanced 6y ago

ML Fundamentals

Grant Sanderson (3Blue1Brown): Is Math Discovered or Invented? | AI Podcast Clips

Lex Fridman Advanced 6y ago

ML Fundamentals

Transformer Neural Networks - EXPLAINED! (Attention is all you need)

CodeEmporium Advanced 6y ago

ML Fundamentals

PyTorch Tutorial 09 - Dataset and DataLoader - Batch Training

Patrick Loeber Advanced 6y ago

ML Fundamentals

PyTorch Tutorial 06 - Training Pipeline: Model, Loss, and Optimizer

Patrick Loeber Advanced 6y ago

ML Fundamentals

The Ethical Algorithm | Michael Kearns & Aaron Roth | Talks at Google

Talks at Google Advanced 6y ago

ML Fundamentals

Gradient Descent - THE MATH YOU SHOULD KNOW

CodeEmporium Advanced 6y ago

ML Fundamentals

Apex - Michael Carilli, NVIDIA

PyTorch Advanced 6y ago

ML Fundamentals

PyTorch Developer Conference Keynote - Mike Schroepfer

PyTorch Advanced 6y ago

ML Fundamentals

TensorFlow model optimization: Quantization and pruning (TF World '19)

TensorFlow Advanced 6y ago

ML Fundamentals

Making the Mid-career Leap from Urban Design to Deep Learning/Data Science

Weights & Biases Advanced 6y ago

ML Fundamentals

Principal Component Analysis (The Math) : Data Science Concepts

ritvikmath Advanced 6y ago

ML Fundamentals

Neuroevolution of Augmenting Topologies (NEAT)

Connor Shorten Advanced 6y ago

ML Fundamentals

Reconciling modern machine learning and the bias-variance trade-off

Yannic Kilcher Advanced 6y ago

ML Fundamentals

Trends in Machine Learning & Deep Learning with Zack Lipton - #334

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

FaciesNet & Machine Learning Applications in Energy with Mohamed Sidahmed - #333

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

The Tree-Based Pipeline Optimization Tool (TPOT) AutoML- Genetic Programming

Krish Naik Advanced 6y ago

ML Fundamentals

Data Scientist, Domain Expertise, Data Engineer Top Skillsets Based On Gartner Survey

Krish Naik Advanced 6y ago

ML Fundamentals

How Can A Non Technical Person Become Data Scientist

Krish Naik Advanced 6y ago

ML Fundamentals

The Next Generation of Self-Driving Engineers with Aaron Ma - Talk #318

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

Spiking Neural Networks: A Primer with Dr. Terrence Sejnowski - #317

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

Logistic Regression - VISUALIZED!

CodeEmporium Advanced 6y ago

ML Fundamentals

Swift for TensorFlow (TF World '19)

TensorFlow Advanced 6y ago

ML Fundamentals

Jeremy Howard: Very Fast Training of Neural Networks | AI Podcast Clips

Lex Fridman Advanced 6y ago

ML Fundamentals

Time Series Clustering for Monitoring Fueling Infrastructure Performance with Kalai Ramea - #300

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

Swarm AI for Event Outcome Prediction with Gregg Willcox - TWIML Talk #299

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

DeepQB: Deep Learning to Quantify Quarterback Decision-Making with Brian Burke - TWIML Talk #297

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

Siamese Neural Networks

Connor Shorten Advanced 6y ago

ML Fundamentals

Automated ML for RNA Design with Danny Stoll - TWIML Talk #288

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

Environmental Impact of Large-Scale NLP Model Training with Emma Strubell - TWIML Talk #286

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

Spiking Neural Nets and ML as a Systems Challenge with Jeff Gehlhaar - TWIML Talk #280

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

Deep Learning Podcast #1 | Edward Dixon | Stochastic Weight Averaging

Connor Shorten Advanced 6y ago

ML Fundamentals

Advancing Autonomous Vehicle Development Using Distributed Deep Learning with Adrien Gaidon -...

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

Video Classification with Deep Learning

Connor Shorten Advanced 6y ago

ML Fundamentals

Gauge Equivariant CNNs, Generative Models, and the Future of AI with Max Welling - TWiML Talk #267

The TWIML AI Podcast with Sam Charrington Advanced 6y ago

ML Fundamentals

Neural Architecture Search

Connor Shorten Advanced 6y ago

ML Fundamentals

Cloud TPU Pods: AI Supercomputing for Large Machine Learning Problems (Google I/O'19)

TensorFlow Advanced 6y ago

ML Fundamentals

Inside TensorFlow: tf.data - TF Input Pipeline

TensorFlow Advanced 6y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Machine Learning with Python: Build & Optimize

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Interpretable machine learning applications: Part 3

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GenAI and Model Selection

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Self-paced

Machine Learning: Random Forest with Python from Scratch©

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GenAI for Employee Engagement: Driving Real-Time Insights

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From Zero to Hero - Digital Product Development From Scratch

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Process Mining: Data science in Action

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Deploy and Optimize Cloud AI Architectures

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Mastering TQM: Apply, Evaluate & Improve Quality Systems

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How Entrepreneurs in Emerging Markets can master the Blockchain Technology

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📚 Coursera Course ↗

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Calculus: Single Variable Part 2 - Differentiation

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Start Neural Networks Advanced Model Architectures

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Predictive Analytics Project Ideation

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Introduction to Generative AI - Français

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Precalculus: Periodic Functions

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Artificial Intelligence on Microsoft Azure

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AI and Public Health

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Open Source Programming - Master's

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