📐 ML Fundamentals

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

ML Fundamentals

Beyond Numbers: The REAL RAG Improvements

MLOps.community Beginner 1y ago

ML Fundamentals

The Centralized Data Model: MLOps' Secret Weapon

MLOps.community Beginner 1y ago

ML Fundamentals

Why We Need More Data Science Podcasts

MLOps.community Intermediate 1y ago

ML Fundamentals

How to Actually Use Cost Effective AI in Your Business

MLOps.community Beginner 1y ago

ML Fundamentals

The EU AI Act: Navigating New Legislation // Podcast #271

MLOps.community Beginner 1y ago

ML Fundamentals

Bridging the Gap Software Meets Data Science

MLOps.community Intermediate 1y ago

ML Fundamentals

Do You Really Need a Feature Store

MLOps.community Intermediate 1y ago

ML Fundamentals

MLOps Across Borders // Gottam Sai Bhrath & Cole Bailey // MLOps Podcast #263 clip

MLOps.community Intermediate 1y ago

ML Fundamentals

Chronon: Airbnb's Open-Source Data Platform

MLOps.community Beginner 1y ago

ML Fundamentals

Data Engineering: The Missing Piece of Your Data Science Puzzle

MLOps.community Beginner 1y ago

ML Fundamentals

How Data Capture Transforms ML Observability

MLOps.community Intermediate 1y ago

ML Fundamentals

Real-Time Event Processing for AI/ML with Numaflow // Sri Harsha Yayi // DE4AI

MLOps.community Intermediate 1y ago

ML Fundamentals

The Evolution of Lyft's Feature Store // Devon Mittow // DE4AI

MLOps.community Beginner 1y ago

ML Fundamentals

How To Cut Your Data Infrastructure Costs in Half

MLOps.community Intermediate 1y ago

ML Fundamentals

Turn Data Chaos into AI Strategy with Programmatic AI Data Development // Elena Boiarskaia // DE4AI

MLOps.community Beginner 1y ago

ML Fundamentals

Centralized or Decentralized ML Platform? // Jelmer Borst and Daniela Solis // MLOps Podcast #267

MLOps.community Intermediate 1y ago

ML Fundamentals

Global Feature Store // Gottam Sai Bharath & Cole Bailey // MLOps Podcast #263

MLOps.community Beginner 1y ago

ML Fundamentals

Critical Importance of Vulnerability Scanning in Software Development // Harcharan Kabbay // shorts

MLOps.community Intermediate 1y ago

ML Fundamentals

MLSecOps is Fundamental to Robust AISPM // Sean Morgan // MLOps Podcast #257

MLOps.community Intermediate 1y ago

ML Fundamentals

Continuous Model Training // Nicolas Mauti // MLOps Podcast #255 clip

MLOps.community Beginner 1y ago

ML Fundamentals

Data Quality = Quality AI // Panel // AIQCON

MLOps.community Beginner 1y ago

ML Fundamentals

Mastering Software Engineering for Data Scientists // Catherine Nelson // MLOps podcast #245 clip

MLOps.community Beginner 1y ago

ML Fundamentals

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

MLOps.community Advanced 1y ago

ML Fundamentals

All Data Scientists Should Learn Software Engineering Principles // Catherine Nelson // Podcast #245

MLOps.community Beginner 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

AI Quality in Mo's Eyes // Mohamed Elgendy // MLOps Podcast #229 clip

MLOps.community Intermediate 1y ago

ML Fundamentals

What is AI Quality? // Mohamed Elgendy // MLOps Podcast #229

MLOps.community Intermediate 1y ago

ML Fundamentals

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

MLOps.community Advanced 1y ago

ML Fundamentals

AI Safety and Reliability // Petar Tsankov // MLOps podcast #218 clip

MLOps.community Beginner 2y ago

ML Fundamentals

The State of Production Machine Learning in 2024 // Alejandro Saucedo // AI in Production

MLOps.community Intermediate 2y 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

Practical Approach to ML and AI System Design // Nathan Ryan Frank // MLOps Podcast #199 clip

MLOps.community Beginner 2y ago

ML Fundamentals

#mlops #machinelearning #Union #Flyte

MLOps.community Beginner 2y ago

ML Fundamentals

#mlops #machinelearning #Union #Flyte

MLOps.community Beginner 2y ago

ML Fundamentals

#mlops #machinelearning #Union #Flyte

MLOps.community Beginner 2y ago

ML Fundamentals

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

MLOps.community Advanced 2y ago

ML Fundamentals

Finetuning LLMs // Greg Diamos // LLMs in Production Conference III Lightning Talk

MLOps.community Intermediate 2y ago

ML Fundamentals

Insights on Real-Time ML and Its Impact on Traffic Predictions // Ketan Umare // Podcast clip #183

MLOps.community Beginner 2y ago

ML Fundamentals

Maximizing the Potential of Deep Learning in Tabular Data Analysis // Sachin Abeywardana //#180 clip

MLOps.community Beginner 2y ago

ML Fundamentals

Finetuning Open-Source LLMs // Sebastian Raschka // LLMs in Production Conference 3 Keynote 1

MLOps.community Beginner 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

Automating ML Infrastructure // Rob Hirschfeld // MLOps Podcast #164 short clip

MLOps.community Beginner 2y ago

ML Fundamentals

Dataframes Are All You Need: MLOps on Easy Mode // Jay Chia // MLOps Meetup #124

MLOps.community Beginner 2y ago

ML Fundamentals

Addressing the Cold Start Problem: Heuristic Models and Training Data in Slack

MLOps.community Intermediate 2y ago

ML Fundamentals

Privacy and Security in Slack: Safeguarding Data in Features and Models

MLOps.community Intermediate 2y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Recommendation Systems on Google Cloud

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Classify Images with TensorFlow Convolutional Neural Networks

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Integral Calculus & The Fundamental Theorem

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AI Workflow: Business Priorities and Data Ingestion

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Build Image Quality Inspection using AWS Lookout for Vision

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STAR-CCM+: Fluid Flow & Thermal Simulation

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Measure Vector Similarity

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Create Machine Learning Models in Microsoft Azure

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Machine Learning Operations (MLOps) with Vertex AI: Manage Features

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Applied Math for Materials Science and Engineering

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No-Code AI Foundations for Business Professionals

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Mathematics for Machine Learning: Multivariate Calculus

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IA Para Todos (Português)

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Data Science Decisions in Time: Using Causal Information

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Foundations of Statistical Learning & Algorithms

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AWS Glue Getting Started

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Cloud Virtualization, Containers and APIs

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NumPy, Matplotlib & Pandas – Data Science Prerequisites

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