📐 ML Fundamentals

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

ML Fundamentals

Maintaining a supportive developer community: Ahmed’s story as a GDSC Lead in Egypt

Google for Developers Advanced 3y ago

ML Fundamentals

Curse of Dimensionality - EXPLAINED!

CodeEmporium Advanced 3y ago

ML Fundamentals

An Interview With D. Sculley For Gradient Dissent

Weights & Biases Advanced 3y ago

ML Fundamentals

10 Years of Impact - Oxford Impact Investing Programme

Saïd Business School, University of Oxford Advanced 3y ago

ML Fundamentals

Regularization - Explained!

CodeEmporium Advanced 3y ago

ML Fundamentals

Google A.I. Diffusion Image Editing w/ Prompt to Prompt

sentdex Advanced 3y ago

ML Fundamentals

Panel discussion and research talk: Computational advances in climate risk assessment

Microsoft Research Advanced 3y ago

ML Fundamentals

Plenary: The fifth paradigm of scientific discovery [ASL version]

Microsoft Research Advanced 3y ago

ML Fundamentals

The Wrong Batch Size Will Ruin Your Model

Underfitted Advanced 3y ago

ML Fundamentals

Contrastive Learning in PyTorch - Part 2: CL on Point Clouds

DeepFindr Advanced 3y ago

ML Fundamentals

If You Give a Mouse (two) Loss Functions : Multi Objective Optimization

ritvikmath Advanced 3y ago

ML Fundamentals

The Future of User Interfaces with A.I.

sentdex Advanced 3y ago

ML Fundamentals

NVIDIA GET3D: AI Model to Populate Virtual Worlds with 3D Objects and Characters

NVIDIA Developer Advanced 3y ago

ML Fundamentals

Variational Autoencoder from scratch in PyTorch

Aladdin Persson Advanced 3y ago

ML Fundamentals

The Road Ahead: Google's Comprehensive Platform for Open Source Machine Learning

TensorFlow Advanced 3y ago

ML Fundamentals

Productionizing Machine Learning Models at Scale with Kubernetes

The TWIML AI Podcast with Sam Charrington Advanced 3y ago

ML Fundamentals

NVIDIA RecSys Summit 2022 - China Day

NVIDIA Developer Advanced 3y ago

ML Fundamentals

Model Quantization for Edge Devices with AIMET

The TWIML AI Podcast with Sam Charrington Advanced 3y ago

ML Fundamentals

Active Learning. The Secret of Training Models Without Labels.

Underfitted Advanced 3y ago

ML Fundamentals

Designing Machine Learning Systems | book summary | Read a book with me

Sophia Yang Advanced 3y ago

ML Fundamentals

Deploy a custom Machine Learning model to mobile

TensorFlow Advanced 3y ago

ML Fundamentals

Why leaders come on the Oxford High Performance Leadership Programme

Saïd Business School, University of Oxford Advanced 3y ago

ML Fundamentals

Andrew Brock on Generative Models and His Journey to AI Research

HuggingFace Advanced 4y ago

ML Fundamentals

Machine Learning bias example

HuggingFace Advanced 4y ago

ML Fundamentals

Coding PCA from Scratch : Data Science Code

ritvikmath Advanced 4y ago

ML Fundamentals

Breaking Linear Regression

CodeEmporium Advanced 3y ago

ML Fundamentals

Plenary: The fifth paradigm of scientific discovery

Microsoft Research Advanced 3y ago

ML Fundamentals

Probability for Machine Learning!

CodeEmporium Advanced 3y ago

ML Fundamentals

Discrete & Continuous random variables

CodeEmporium Advanced 3y ago

ML Fundamentals

Creating Stable Diffusion Interpolation Videos

sentdex Advanced 3y ago

ML Fundamentals

Equivariant Priors for Compressed Sensing with Arash Behboodi - #584

The TWIML AI Podcast with Sam Charrington Advanced 3y ago

ML Fundamentals

At the Frontiers of Science: Exciting Advances in Protein Design

Microsoft Research Advanced 3y ago

ML Fundamentals

The Rise of DeBERTa for NLP Downstream Tasks | Grandmaster Series E7

NVIDIA Developer Advanced 3y ago

ML Fundamentals

An introduction to MLOps with TensorFlow Extended (TFX)

TensorFlow Advanced 3y ago

ML Fundamentals

Oxford High Performance Leadership Programme - Karen Chan

Saïd Business School, University of Oxford Advanced 3y ago

ML Fundamentals

Oxford High Performance Leadership - Susanna Pertl

Saïd Business School, University of Oxford Advanced 3y ago

ML Fundamentals

Oxford High Performance Leadership - Chris Hill

Saïd Business School, University of Oxford Advanced 3y ago

ML Fundamentals

Python Plays GTA V: Reboot - Announcement

sentdex Advanced 3y ago

ML Fundamentals

Modern Medical Image Segmentation, AutoML, and Beyond

NVIDIA Developer Advanced 4y ago

ML Fundamentals

Meg's realization of the importance of Ethical AI

HuggingFace Advanced 4y ago

ML Fundamentals

Advice for Women in AI/Machine Learning

HuggingFace Advanced 4y ago

ML Fundamentals

Hello Sionna! A Demo of The First Open Source Library for Physical Layer Research

NVIDIA Developer Advanced 4y ago

ML Fundamentals

Full-Stack AI Systems Development with Murali Akula - #563

The TWIML AI Podcast with Sam Charrington Advanced 4y ago

ML Fundamentals

Research talk: Maia Chess: A human-like neural network chess engine

Microsoft Research Advanced 4y ago

ML Fundamentals

Research talk: Torchy: A tracing JIT compiler for PyTorch

Microsoft Research Advanced 4y ago

ML Fundamentals

Research talk: Causal learning: Discovering causal relations for out-of-distribution generalization

Microsoft Research Advanced 4y ago

ML Fundamentals

Keynote: Unlocking exabytes of training data through privacy preserving machine learning

Microsoft Research Advanced 4y ago

ML Fundamentals

Opening remarks: Cloud Intelligence/AIOps

Microsoft Research Advanced 4y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

Machine Learning with Small Data Part 2

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Self-paced

Optimize Deep Learning: Tune PyTorch Models

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Self-paced

Mathematics for Engineers: The Capstone Course

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📚 Coursera Course ↗

Self-paced

Artificial Intelligence on Microsoft Azure

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📚 Coursera Course ↗

Self-paced

Deep Learning with PyTorch : Object Localization

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Orchestrating a TFX Pipeline with Airflow

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Responsible AI: Applying AI Principles with GC - Français

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Building Regression Models with Linear Algebra

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Introduction to Machine Learning with Python

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AI Workflow: Machine Learning, Visual Recognition and NLP

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Self-paced

Training AI with Humans

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Self-paced

Data Science: Tus Primeros Pasos con Python

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Self-paced

Image Captioning with TensorFlow & Streamlit

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Cloud Computing Foundations

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Self-paced

AI with Python: Apply & Implement ML Models

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Discrete Math for Computer Science - Counting & Probability

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Self-paced

Advanced Machine Learning and Deep Learning

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Self-paced

Master Machine Learning with TensorFlow: Basics to Advanced

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