📐 ML Fundamentals

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

ML Fundamentals

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

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

Microsoft Research Advanced 5y ago

ML Fundamentals

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

Connor Shorten Beginner 5y ago

ML Fundamentals

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

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

Getting ready to learn Python, Windows edition #7: git for repository management

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Getting ready to learn Python, Windows edition #6: pip for package management

Brandon Rohrer Beginner 5y ago

ML Fundamentals

How to get software engineering internship | How to get programming Job

codebasics Beginner 5y ago

ML Fundamentals

Program Correctness - Computerphile

Computerphile Beginner 5y ago

ML Fundamentals

Credit Risk Modeling in Python Course

365 Data Science Beginner 5y ago

ML Fundamentals

10 things I'm grateful for this Thanksgiving

Lex Fridman Beginner 5y ago

ML Fundamentals

Solving Nintendo HireMe!!! with "Basic" Math

LiveOverflow Beginner 5y ago

ML Fundamentals

Level Up Your Data Science Skills #shorts

Data Professor Beginner 5y ago

ML Fundamentals

Investing in Procurement Builds Resilience

Saïd Business School, University of Oxford Intermediate 5y ago

ML Fundamentals

Machine Learning Tutorial Python - 17: L1 and L2 Regularization | Lasso, Ridge Regression

codebasics Beginner 5y ago

ML Fundamentals

W&B Reports: Take notes, save snapshots, and collaborate on ML projects

Weights & Biases Beginner 5y ago

ML Fundamentals

Ep#4 - Are Privacy-enchancing technologies a myth?

MLOps.community Beginner 5y ago

ML Fundamentals

Extracting information from political ad disclosures with the DeepForm team

Weights & Biases Advanced 5y ago

ML Fundamentals

Private AI Education Series Announcement | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

ML Fundamentals

PyTorch/XLA Internal | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

ML Fundamentals

11.6 Nested CV for Algorithm Selection Code Example (L11 Model Eval. Part 4)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

11.5 Nested CV for Algorithm Selection (L11 Model Eval. Part 4)

Sebastian Raschka Beginner 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

ML Fundamentals

Getting ready to learn Python, Mac edition #7: Build repositories with git

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Getting ready to learn Python, Mac edition #6: Download packages with pip

Brandon Rohrer Beginner 5y ago

ML Fundamentals

Look ma, no side effects! Collaborative Work on AI Safety with the SafeLife Team

Weights & Biases Advanced 5y ago

ML Fundamentals

MLPerf & PyTorch | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

ML Fundamentals

DeepSpeed | PyTorch Developer Day 2020

PyTorch Advanced 5y ago

ML Fundamentals

Model Interpretability | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

ML Fundamentals

Torch for R & Hasktorch: Bringing Torch to New Programming Languages | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

ML Fundamentals

PyTorch Mobile and Android Neural Networks API | PyTorch Developer Day 2020

PyTorch Intermediate 5y ago

ML Fundamentals

PyTorch on Windows | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

ML Fundamentals

TorchAudio | PyTorch Developer Day 2020

PyTorch Intermediate 5y ago

ML Fundamentals

High-Level API for Autograd | PyTorch Developer Day 2020

PyTorch Intermediate 5y ago

ML Fundamentals

Complex Numbers in PyTorch | PyTorch Developer Day 2020

PyTorch Intermediate 5y ago

ML Fundamentals

Open Challenges in Deep Learning Systems | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

ML Fundamentals

SVM (The Math) : Data Science Concepts

ritvikmath Intermediate 5y ago

ML Fundamentals

W&B Deep Learning Salon - SafeLife & DeepForm

Weights & Biases Beginner 5y ago

ML Fundamentals

11.4 Statistical Tests for Algorithm Comparison (L11 Model Eval. Part 4)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

11.3 Multiple Pairwise Comparisons (L11 Model Eval. Part 4)

Sebastian Raschka Beginner 5y ago

ML Fundamentals

11.2 McNemar's Test for Pairwise Classifier Comparison (L11 Model Eval. Part 4)

Sebastian Raschka Beginner 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Optimizing Machine Learning Performance

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Recommender Systems Complete Course Beginner to Advanced

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

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Create Image Captioning Models - Bahasa Indonesia

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Introduction to Statistics & Data Analysis in Public Health

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Naive Bayes 101: Resume Selection with Machine Learning

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Perform data science with Azure Databricks

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Encoder-Decoder Architecture - Bahasa Indonesia

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Machine Learning with Implementation in Java

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Building, Optimizing, and Validating Machine Learning Models

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Managing Machine Learning Projects

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Algebra and Differential Calculus for Data Science

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Foundations of Quantum Mechanics

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Introduction to Data, Signal, and Image Analysis with MATLAB

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Python Fundamentals: Apply Data Structures

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Data Engineering & Pipeline Reliability for Machine Learning

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Practical Machine Learning

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Réseaux neuronaux et Deep Learning

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