📐 ML Fundamentals

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

ML Fundamentals

Performance Optimization and Software/Hardware Co-design across PyTorch, CUDA, and NVIDIA GPUs

MLOps.community Advanced 2w ago

ML Fundamentals

no distributed training

MLOps.community Advanced 9mo ago

ML Fundamentals

Tricks to Fine Tuning // Prithviraj Ammanabrolu // MLOps Podcast #318

MLOps.community Advanced 10mo ago

ML Fundamentals

What Does Effective Checkpointing Mean for Streaming Workloads?

MLOps.community Advanced 12mo ago

ML Fundamentals

AI is Coming for Your Toaster

MLOps.community Advanced 1y ago

ML Fundamentals

Unlocking AI Potential Why Post Training Trumps Pre Training!

MLOps.community Advanced 1y ago

ML Fundamentals

Unlock Unreal Performance with Small Models!

MLOps.community Advanced 1y ago

ML Fundamentals

Mind Blowing Fact More Docs Boosts Performance!

MLOps.community Advanced 1y ago

ML Fundamentals

Avoiding the Premature Optimization Trap

MLOps.community Advanced 1y ago

ML Fundamentals

Quality Metrics and Tools in Michelangelo 2.0 // MLOps Podcast #239 clip 2

MLOps.community Advanced 1y ago

ML Fundamentals

Unifying Systems with Uber’s Michelangelo Platform // MLOps Podcast #239 clip

MLOps.community Advanced 1y ago

ML Fundamentals

Uber's Michelangelo: Strategic AI Overhaul and Impact // MLOps podcast #239

MLOps.community Advanced 1y ago

ML Fundamentals

Rethinking Retraining: Cost-Effective AI Solutions // Patrick Beukema // MLOps podcast #225 clip

MLOps.community Advanced 1y ago

ML Fundamentals

Beyond AGI, Can AI Help Save the Planet? // Patrick Beukema // MLOps Podcast #225

MLOps.community Advanced 1y ago

ML Fundamentals

Language Processing, Recommendations, System Integration // Aayush Mugdal // MLOps Podcast #211 clip

MLOps.community Advanced 2y ago

ML Fundamentals

The Myth of AI Breakthroughs // Jonathan Frankle // MLOps Podcast #205

MLOps.community Advanced 2y ago

ML Fundamentals

Scaling MLOps for Computer Vision // MLOps Mini Summit Meetup #4

MLOps.community Advanced 2y ago

ML Fundamentals

Designing Human in the Loop Experiences for LLMs // Alberto Rizzoli // LLMs in Prod Con Part 2

MLOps.community Advanced 2y ago

ML Fundamentals

ML Evolution & Recurring Themes // Waleed Kadous // MLOps Podcast # 155 short clip

MLOps.community Advanced 2y ago

ML Fundamentals

The Not So Talked About Reasons Model Monitoring Fails // Oren Razon // MLOps Meetup #88

MLOps.community Advanced 4y ago

ML Fundamentals

Model serving platform // Kyle Gallatin // Coffee #43 short clip

MLOps.community Advanced 4y ago

ML Fundamentals

CI/CD for MLOPS Definition // Monmayuri Ray // MLOps Coffee Sessions #41 short clip

MLOps.community Advanced 4y ago

ML Fundamentals

MLOps Meetup #21 // Deep Dive on Paperspace Tooling // Misha Kutsovsky

MLOps.community Advanced 5y ago

ML Fundamentals

Model monitoring with Fury Data Apps at Mercado Libre

MLOps.community Advanced 5y ago

ML Fundamentals

ML platform Fury Data Apps at Mecado Libre

MLOps.community Advanced 5y ago

ML Fundamentals

What parts of the mercado libre ML platforms are automatted

MLOps.community Advanced 5y ago

ML Fundamentals

Litox View of the state of ML today

MLOps.community Advanced 5y ago

ML Fundamentals

Fury Platform and Fury Data Apps at Mercado Libre

MLOps.community Advanced 5y ago

ML Fundamentals

MLOps community meetup #11 // Machine Learning at Scale in Mercado Libre with Carlos de la Torre

MLOps.community Advanced 5y ago

ML Fundamentals

Training ML models on live datasets in a GDPR world

MLOps.community Advanced 5y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Understand and Apply AI Fundamentals with AWS

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Introduction to Data Management

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Introduction to Image Generation - Italiano

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AI-900 - Azure AI Fundamentals and Two Practice Tests

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Advanced Machine Learning, Big Data, and Deep Learning

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Programming Generative AI: Unit 1

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Analyze Financial Risk Using AI, Markets, and Governance

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Master CNNs with Python: Build, Train & Evaluate Models

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Prediction and Control with Function Approximation

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Predictive Analytics Project Ideation

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BigQuery Machine Learning für Inferenzen nutzen

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Preparing Images for AI Models

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Optimize Vision Datasets: Augment and Analyze

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Cloud Virtualization, Containers and APIs

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Logistic Regression with NumPy and Python

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Natural Language Processing with Probabilistic Models

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AI for Healthcare

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Digital Signal Processing 2: Filtering

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