📐 ML Fundamentals

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

ML Fundamentals

What is a context engine? #contextengineering

MLOps.community Beginner 3mo ago

ML Fundamentals

get it right the first time #podcast

MLOps.community Beginner 4mo ago

ML Fundamentals

Thinking about parrellelism from the start

MLOps.community Beginner 4mo ago

ML Fundamentals

From Struggles to Starter Pokémon The Evolution of a Project

MLOps.community Beginner 6mo ago

ML Fundamentals

AI Governance at Breaking Point

MLOps.community Beginner 6mo ago

ML Fundamentals

Inside Uber's Advanced AI and Machine Learning Platform

MLOps.community Beginner 8mo ago

ML Fundamentals

3 to 1,000 Use Cases

MLOps.community Beginner 9mo ago

ML Fundamentals

Busting the Big AI Myths

MLOps.community Beginner 9mo ago

ML Fundamentals

Easy For Humans but Hard for AI

MLOps.community Beginner 9mo ago

ML Fundamentals

Accuracy and the Right Amount of Fraud

MLOps.community Beginner 9mo ago

ML Fundamentals

what is humanlayer doing?

MLOps.community Beginner 10mo ago

ML Fundamentals

Packaging MLOps Tech Neatly for Engineers and Non-engineers // Jukka Remes // MLOps Podcast #322

MLOps.community Beginner 10mo ago

ML Fundamentals

Shocking Study: Physician Errors as a Leading Cause of Death

MLOps.community Beginner 11mo ago

ML Fundamentals

Cross-Cloud Management Made Easy

MLOps.community Beginner 1y ago

ML Fundamentals

Understanding Lab Dynamics and MLOps Challenges

MLOps.community Beginner 1y ago

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

Unseen Fines €35M Compliance Shock #machinelearningoperations #podcast #aicompliance

MLOps.community Beginner 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

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

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

MLOps.community Beginner 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

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

MLOps.community Beginner 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

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

MLOps.community Beginner 1y ago

ML Fundamentals

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

MLOps.community Beginner 1y 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

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

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

Prioritizing Needs in ML Platform Design // Jean-Michel Daignan // MLOps Podcast #151 short clip

MLOps.community Beginner 3y ago

ML Fundamentals

The Importance of Communication Skills in Customer-Facing Machine Learning Engineering

MLOps.community Beginner 3y ago

ML Fundamentals

Ensuring Model Effectiveness in MLOps: A Customized Approach

MLOps.community Beginner 3y ago

ML Fundamentals

Is Machine Learning the Right Approach for Your Business Problem?

MLOps.community Beginner 3y ago

ML Fundamentals

The 7 Lines of Code You Need to Run Faster Real-time Inference // Adrian Boguszewski // Meetup #121

MLOps.community Beginner 3y ago

ML Fundamentals

Ethical Machine Learning: Collecting the Least Amount of Data Necessary

MLOps.community Beginner 3y ago

ML Fundamentals

From Prototype to Production: A Successful Process for Deploying Machine Learning Models

MLOps.community Beginner 3y ago

ML Fundamentals

The Three Layers of Flexibility in Meeting User Needs

MLOps.community Beginner 3y ago

ML Fundamentals

The Importance of Real-Time ML and How it Became a Critical System

MLOps.community Beginner 3y ago

📚 Coursera Courses Opens on Coursera · Free to audit

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Automate and Evaluate ML Pipeline Tests

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Trabalhar com Notebooks na Vertex AI

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Integral Calculus & The Fundamental Theorem

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Machine Learning Using SAS Viya

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Combinatorics and Probability

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Scikit-Learn For Machine Learning Classification Problems

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Optimize AI Inference Speed & Accuracy

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Build a Machine Learning Image Classifier with Python

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Introduction to Generative AI - Bahasa Indonesia

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Diabetes Disease Detection with XG-Boost and Neural Networks

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Introduction to Self-Driving Cars

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Advanced Healthcare Analytics

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Self-paced

Deep Learning: Convolutional Neural Networks with TensorFlow

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Self-paced

MLOps Tools: MLflow and Hugging Face

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AWS: Model Training , Optimization & Deployment

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Predictive Analytics

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Applied Unsupervised Learning in Python

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Generative AI for Data Science

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