📐 ML Fundamentals

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

ML Fundamentals

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

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ML Fundamentals

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

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Adrien Treuille — Building Blazingly Fast Tools That People Love

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Intelligent AI Chatbot in Python

NeuralNine Intermediate 5y ago

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Investing in Procurement Builds Resilience

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The opportunities with AI and machine learning

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ML Fundamentals

Ep#5 - The intersection between DataOps and privacy

MLOps.community Beginner 5y ago

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

Sebastian Raschka Beginner 5y ago

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

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ML Fundamentals

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

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Collaborative Filtering : Data Science Concepts

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Recent Efforts Towards Efficient And Scalable Neural Waveform Coding

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ML Fundamentals

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

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

Lex Fridman Beginner 5y ago

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NVAITC Webinar: Deploying Models with TensorRT

NVIDIA Developer Beginner 5y ago

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NVAITC Webinar: Multi-GPU Training using Horovod

NVIDIA Developer Intermediate 5y ago

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Soft Margin SVM : Data Science Concepts

ritvikmath Intermediate 5y ago

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Big Data, Hadoop and Machine Learning Explained using Dams

Imaad Mohamed Khan Beginner 5y ago

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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

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

Brandon Rohrer Beginner 5y ago

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

codebasics Beginner 5y ago

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Credit Risk Modeling in Python Course

365 Data Science Beginner 5y ago

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10 things I'm grateful for this Thanksgiving

Lex Fridman Beginner 5y ago

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Solving Nintendo HireMe!!! with "Basic" Math

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Level Up Your Data Science Skills #shorts

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Investing in Procurement Builds Resilience

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

codebasics Beginner 5y ago

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

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

MLOps.community Beginner 5y ago

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Private AI Education Series Announcement | PyTorch Developer Day 2020

PyTorch Beginner 5y ago

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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

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

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NVAITC Webinar: Automatic Mixed Precision Training in PyTorch

NVIDIA Developer Beginner 5y ago

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NVAITC Webinar: Introduction to Convolutional Neural Networks

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NVAITC Webinar: Linear Regression in PyTorch

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

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

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Extracting information from political ad disclosures with the DeepForm team

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

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PyTorch/XLA Internal | PyTorch Developer Day 2020

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MLPerf & PyTorch | PyTorch Developer Day 2020

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DeepSpeed | PyTorch Developer Day 2020

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Model Interpretability | PyTorch Developer Day 2020

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📚 Coursera Courses Opens on Coursera · Free to audit

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Essential Causal Inference Techniques for Data Science

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Introduction to AI and Machine Learning on GC - Italiano

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Honors Algebra 2: Algebraic, Exponential & Log Functions

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Linear Algebra: Linear Systems and Matrix Equations

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Clustering and Classification with Machine Learning in R

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Process Mining: Data science in Action

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Training, Evaluating, and Monitoring Machine Learning Models

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No-Code AI Foundations for Business Professionals

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Introduction to Machine Learning with Python

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Mathematical Biostatistics Boot Camp 1

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Machine Learning Algorithms: Supervised Learning Tip to Tail

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Responsible AI: Applying AI Principles with GC - Italiano

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Machine Learning with Python: Build & Optimize

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Tweet Emotion Recognition with TensorFlow

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Deep Learning Frameworks and Neural Networks Simplified

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Google Cloud Speech API: Qwik Start

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Mastering Neural Networks and Model Regularization

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Python: Istruzioni per l’uso

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