📐 ML Fundamentals

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

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 1y 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

ML Fundamentals

Value of External Resources for Building a Company Platform

MLOps.community Intermediate 2y ago

ML Fundamentals

Promoting Distributed Innovation // Melissa Barr & Michael Mui // MLOps Podcast #154 video clip

MLOps.community Intermediate 2y ago

ML Fundamentals

Deep Learning in Google Maps

MLOps.community Intermediate 2y ago

ML Fundamentals

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

MLOps.community Advanced 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

ML in Production: A DS from Ubisoft Perspective // Jean-Michel Daignan // MLOps Podcast #151

MLOps.community Intermediate 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

Building a Centralized Background for Seamless User Experience

MLOps.community Intermediate 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

ML Fundamentals

The Importance of Connecting Data Science Projects to Business Goals

MLOps.community Beginner 3y ago

ML Fundamentals

Evolution of Infrastructure in Machine Learning // Simon Thompson // MLOps Shorts

MLOps.community Beginner 3y ago

ML Fundamentals

The Challenges of Integrating Multiple Tasks into One Model in MLOps // Ethan Rosenthal

MLOps.community Beginner 3y ago

ML Fundamentals

Advice for Technically Capable People Who Don't Know Where to Start

MLOps.community Beginner 3y ago

ML Fundamentals

Predictions for Future Changes in the Python Programming Language

MLOps.community Intermediate 3y ago

ML Fundamentals

The Use of Rules Engines in Cybersecurity Threat Detection // Jeremy Thomas Jordan // MLOps Shorts

MLOps.community Beginner 3y ago

📚 Coursera Courses Opens on Coursera · Free to audit

← 1 / 3 → View all →

📚 Coursera Course ↗

Self-paced

Smart Analytics, Machine Learning, and AI on Google Cloud

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Building Resilient Streaming Systems on GCP em Português Brasileiro

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Guided Tour of Machine Learning in Finance

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

AI Foundations & Industry Overview for Telecommunication

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

BigQuery Machine Learning using Soccer Data

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

AWS: Security, Governance, and Compliance

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Advanced PyTorch Techniques and Applications

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Microsoft Azure Machine Learning for Data Scientists

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

SAS Certification Practice Exams

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Fundamentals of Machine Learning for Healthcare

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Evaluate Vision Errors: Identify Failure Patterns

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Create (Artificial Intelligence) AI VIDEOS WITH ZERO FILMING

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Physics 102 - AC Circuits and Maxwell's Equations

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Managing Machine Learning Projects

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Getting Started with BigQuery Machine Learning

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Data Science & Machine Learning Fundamentals

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Perform data science with Azure Databricks

Opens on Coursera ↗

📚 Coursera Course ↗

Self-paced

Build Intelligent iOS Apps with Core ML 3: Learn & Apply AI

Opens on Coursera ↗