📐 ML Fundamentals

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

ML Fundamentals

Pillars 1 & 2: Are We Close to a Deal? Views from the Inclusive Framework Steering Group

Saïd Business School, University of Oxford Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

Superpowers for next gen web apps: Machine learning

Chrome for Developers Beginner 5y ago

ML Fundamentals

Machine Learning 101 - Whiteboard Friday

Moz Beginner 5y ago

ML Fundamentals

Discover high-quality online degrees on Coursera that suit your lifestyle, schedule, and budget

Coursera Beginner 5y ago

ML Fundamentals

Transform Your Life and Impact the World With Courses on Coursera

Coursera Beginner 5y ago

ML Fundamentals

Human-centric ML Infrastructure: A Netflix Original // Savin Goyal // MLOps Meetup #44

MLOps.community Beginner 5y ago

ML Fundamentals

Best NLP competitions on Kaggle (to learn from)

Abhishek Thakur Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Michael Littman: Reinforcement Learning and the Future of AI | Lex Fridman Podcast #144

Lex Fridman Beginner 5y ago

ML Fundamentals

Compete More Effectively on Kaggle using Weights & Biases

Weights & Biases Beginner 5y ago

ML Fundamentals

I got a chance to try NVIDIA A100 GPU via qblocks.cloud

Abhishek Thakur Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

TensorFlow.js Community "Show & Tell" #4

TensorFlow Beginner 5y ago

ML Fundamentals

Custom Handpose Gesture Detection with Tensorflow.Js and React.Js | Deep Learning Hand Tracking

Nicholas Renotte Beginner 5y ago

ML Fundamentals

W&B Deep Learning Salon

Weights & Biases Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

PCA explained with intuition, a little math and code

AI Coffee Break with Letitia Beginner 5y ago

ML Fundamentals

A Conversation with Seattle Data Guy // Benjamin Rogojan // MLOps Coffee Sessions #21

MLOps.community Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Are Neural Networks Intelligent?

CodeEmporium Beginner 5y ago

ML Fundamentals

Overfitting, Underfitting And Data Leakage Explanation With Simple Example

Krish Naik Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Deepmind's Alphafold2 Solves Protein Structures (Part 2) #shorts

Data Professor Beginner 5y ago

ML Fundamentals

Christmas GiveAway Osmo Coding Starter Kit!!! Enter To Win!!! ***CLOSED***

NPStation Beginner 5y ago

ML Fundamentals

Deepmind's Alphafold2 Solves Protein Structures (Part 1) #shorts

Data Professor Beginner 5y ago

ML Fundamentals

Deep Learning’s Most Important Ideas | Machine Learning Monthly November 2020

Daniel Bourke Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Intelligent AI Chatbot in Python

NeuralNine Intermediate 5y ago

ML Fundamentals

Investing in Procurement Builds Resilience

Saïd Business School, University of Oxford Beginner 5y ago

ML Fundamentals

The opportunities with AI and machine learning

Microsoft Research Beginner 5y ago

ML Fundamentals

12.5 Extending Binary Metric to Multiclass Problems (L12 Model Eval 5: Performance Metrics)

Sebastian Raschka Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

12.4 Receiver Operating Characteristic (L12 Model Eval 5: Performance Metrics)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

Graph Convolutional Operators in the PyTorch JIT | PyTorch Developer Day 2020

PyTorch Advanced 5y ago

ML Fundamentals ⚡ AI Lesson

Collaborative Filtering : Data Science Concepts

ritvikmath Intermediate 5y ago

ML Fundamentals

Recent Efforts Towards Efficient And Scalable Neural Waveform Coding

Microsoft Research Beginner 5y ago

ML Fundamentals

AlphaFold2 - Quick Thoughts on 3D Spatial Graphs and Graph Neural Networks

Connor Shorten Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Manolis Kellis: Meaning of Life, the Universe, and Everything | Lex Fridman Podcast #142

Lex Fridman Beginner 5y ago

ML Fundamentals

NVAITC Webinar: Deploying Models with TensorRT

NVIDIA Developer Beginner 5y ago

ML Fundamentals

NVAITC Webinar: Multi-GPU Training using Horovod

NVIDIA Developer Intermediate 5y ago

ML Fundamentals

Soft Margin SVM : Data Science Concepts

ritvikmath Intermediate 5y ago

ML Fundamentals ⚡ AI Lesson

Big Data, Hadoop and Machine Learning Explained using Dams

Imaad Mohamed Khan Beginner 5y ago

ML Fundamentals

Predictive Coding Approximates Backprop along Arbitrary Computation Graphs (Paper Explained)

Yannic Kilcher Beginner 5y ago

ML Fundamentals

Talks # 16: Issam Laradji; Build Large-Scale ML Projects & Manage Thousands of Experiments

Abhishek Thakur Intermediate 5y ago

ML Fundamentals

Diganta Mishra on smooth activations, robustness, and catastrophic forgetting

Weights & Biases Beginner 5y ago

ML Fundamentals

Adrien Treuille — Building Blazingly Fast Tools That People Love

Weights & Biases Intermediate 5y ago

ML Fundamentals

Ep#5 - The intersection between DataOps and privacy

MLOps.community Beginner 5y ago

ML Fundamentals

12.3 Balanced Accuracy (L12 Model Eval 5: Performance Metrics)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

12.2 Precision, Recall, and F1 Score (L12 Model Eval 5: Performance Metrics)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

12.1 Confusion Matrix (L12 Model Eval 5: Performance Metrics)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

12.0 Lecture Overview (L12 Model Eval 5: Performance Metrics)

Sebastian Raschka Beginner 5y ago

ML Fundamentals ⚡ AI Lesson

Geometry-constrained Beamforming Network for end-to-end Farfield Sound Source Separation

Microsoft Research Advanced 5y ago

ML Fundamentals

NVAITC Webinar: Automatic Mixed Precision Training in PyTorch

NVIDIA Developer Beginner 5y ago

ML Fundamentals

NVAITC Webinar: Introduction to Convolutional Neural Networks

NVIDIA Developer Beginner 5y ago

ML Fundamentals

NVAITC Webinar: Linear Regression in PyTorch

NVIDIA Developer Intermediate 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Self-paced

AI Workflow: AI in Production

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Basic Math: Derivatives

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Essential Linear Algebra for Data Science

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Fundamentals of CNNs and RNNs

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Graphs and Networks

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Probabilistic Graphical Models 2: Inference

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Machine Learning with Databricks and MLflow

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Algorithmic Thinking (Part 1)

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Doing Clinical Research: Biostatistics with the Wolfram Language

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Excel: Apply & Evaluate Unsupervised Clustering

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Machine Learning Operations (MLOps): Getting Started - Português Brasileiro

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Introduction to Applied Machine Learning

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Smart Analytics, Machine Learning, and AI on GCP en Español

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Introduction to AI

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Basic Image Classification with TensorFlow

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Production Machine Learning Systems - Français

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Classify Images of Cats and Dogs using Transfer Learning

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Digital Signal Processing 1: Basic Concepts and Algorithms

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