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📐 ML Fundamentals

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

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MLOps Meetup #29 / Scaling ML Capabilities in Large Organizations // Bertjan Broeksema & Axel Goblet
ML Fundamentals
MLOps Meetup #29 / Scaling ML Capabilities in Large Organizations // Bertjan Broeksema & Axel Goblet
MLOps.community Beginner 5y ago
MLOps Day Conference - We Sponsored a Conference!
ML Fundamentals
MLOps Day Conference - We Sponsored a Conference!
MLOps.community Intermediate 5y ago
MLOps Coffee Sessions #4: A Conversation Around Feature Stores with Venkata Pingali and Jim Dowling
ML Fundamentals
MLOps Coffee Sessions #4: A Conversation Around Feature Stores with Venkata Pingali and Jim Dowling
MLOps.community Beginner 5y ago
MLOps Meetup #26 / How to Leverage ML Tooling Ecosystem / Mariya Davydova Head of Product at Neu ro
ML Fundamentals
MLOps Meetup #26 / How to Leverage ML Tooling Ecosystem / Mariya Davydova Head of Product at Neu ro
MLOps.community Intermediate 5y ago
MLOps Meetup #25 Python and Dask: Scaling the DataFrame // Dan Gerlanc - Founder of Enplus Advisors
ML Fundamentals
MLOps Meetup #25 Python and Dask: Scaling the DataFrame // Dan Gerlanc - Founder of Enplus Advisors
MLOps.community Beginner 5y ago
MLOps #22 // Feature Stores: An Essential Part of the ML Stack to Build Great Data // Kevin Stumpf
ML Fundamentals
MLOps #22 // Feature Stores: An Essential Part of the ML Stack to Build Great Data // Kevin Stumpf
MLOps.community Intermediate 5y ago
MLOps Meetup #24 // How to Become a Better Data Scientist: The Definite Guide // Alexey Grigorev
ML Fundamentals
MLOps Meetup #24 // How to Become a Better Data Scientist: The Definite Guide // Alexey Grigorev
MLOps.community Beginner 5y ago
Monitoring the Machine Learning Stack // Lina Weichbrodt // MLOps Meetup #23
ML Fundamentals
Monitoring the Machine Learning Stack // Lina Weichbrodt // MLOps Meetup #23
MLOps.community Intermediate 5y ago
MLOps Meetup #21 // Deep Dive on Paperspace Tooling // Misha Kutsovsky
ML Fundamentals
MLOps Meetup #21 // Deep Dive on Paperspace Tooling // Misha Kutsovsky
MLOps.community Advanced 5y ago
MLOps Coffee Sessions #2: Different Ways of Serving ML Models with Byron Allen
ML Fundamentals
MLOps Coffee Sessions #2: Different Ways of Serving ML Models with Byron Allen
MLOps.community Beginner 5y ago
MLOps Meetup #18 // Nubank - Running a Fintech on ML // Caique Lima and Cristiano Breuel
ML Fundamentals
MLOps Meetup #18 // Nubank - Running a Fintech on ML // Caique Lima and Cristiano Breuel
MLOps.community Beginner 5y ago
MLOps Meetup #19 // DataOps and Data Versioning in ML // Dmitry Petrov
ML Fundamentals
MLOps Meetup #19 // DataOps and Data Versioning in ML // Dmitry Petrov
MLOps.community Beginner 5y ago
MLOps Coffee Sessions #1: Serving Models with Kubeflow
ML Fundamentals
MLOps Coffee Sessions #1: Serving Models with Kubeflow
MLOps.community Beginner 5y ago
Mlflow Open source framework Hermoine demo
ML Fundamentals
Mlflow Open source framework Hermoine demo
MLOps.community Intermediate 5y ago
MLOps Common Mistakes why Hermione was Born
ML Fundamentals
MLOps Common Mistakes why Hermione was Born
MLOps.community Intermediate 5y ago
What is the open source ML framework Hermoine
ML Fundamentals
What is the open source ML framework Hermoine
MLOps.community Intermediate 5y ago
MLOps #17 // The Challenges of ML Operations & How Hermione Helps Along the Way // Neylson Crepalde
ML Fundamentals
MLOps #17 // The Challenges of ML Operations & How Hermione Helps Along the Way // Neylson Crepalde
MLOps.community Intermediate 5y ago
MLOps meetup #14 // Kubeflow vs MLflow with Byron Allen
ML Fundamentals
MLOps meetup #14 // Kubeflow vs MLflow with Byron Allen
MLOps.community Intermediate 5y ago
Show your Versatility as a Data Scientist
ML Fundamentals
Show your Versatility as a Data Scientist
MLOps.community Beginner 5y ago
MLOps meetup #13 // Maximizing Job Opportunities as a Data Scientist on the Market w/ Anthony Kelly
ML Fundamentals
MLOps meetup #13 // Maximizing Job Opportunities as a Data Scientist on the Market w/ Anthony Kelly
MLOps.community Beginner 5y ago
Model monitoring with Fury Data Apps at Mercado Libre
ML Fundamentals
Model monitoring with Fury Data Apps at Mercado Libre
MLOps.community Advanced 5y ago
ML platform Fury Data Apps at Mecado Libre
ML Fundamentals
ML platform Fury Data Apps at Mecado Libre
MLOps.community Advanced 5y ago
What parts of the mercado libre ML platforms are automatted
ML Fundamentals
What parts of the mercado libre ML platforms are automatted
MLOps.community Advanced 5y ago
Litox View of the state of ML today
ML Fundamentals
Litox View of the state of ML today
MLOps.community Advanced 5y ago
Fury Platform and Fury Data Apps at Mercado Libre
ML Fundamentals
Fury Platform and Fury Data Apps at Mercado Libre
MLOps.community Advanced 5y ago
MLOps community meetup #11 // Machine Learning at Scale in Mercado Libre with Carlos de la Torre
ML Fundamentals
MLOps community meetup #11 // Machine Learning at Scale in Mercado Libre with Carlos de la Torre
MLOps.community Advanced 5y ago
Why do you need Automation in Machine Learning
ML Fundamentals
Why do you need Automation in Machine Learning
MLOps.community Beginner 5y ago
MLOps is an Organizational Problem Not a Tech Problem
ML Fundamentals
MLOps is an Organizational Problem Not a Tech Problem
MLOps.community Beginner 5y ago
10 Years Deploying ML in the Enterprise: The Inside Scoop! // Charles Martin // MLOps meetup #9
ML Fundamentals
10 Years Deploying ML in the Enterprise: The Inside Scoop! // Charles Martin // MLOps meetup #9
MLOps.community Beginner 5y ago
Case Study of when things go wrong in ML
ML Fundamentals
Case Study of when things go wrong in ML
MLOps.community Beginner 5y ago
Training ML models on live datasets in a GDPR world
ML Fundamentals
Training ML models on live datasets in a GDPR world
MLOps.community Advanced 5y ago
Monitoring for ML concept drift in a Covid Era
ML Fundamentals
Monitoring for ML concept drift in a Covid Era
MLOps.community Beginner 5y ago
Have you really thought this ML platform through?
ML Fundamentals
Have you really thought this ML platform through?
MLOps.community Beginner 5y ago
100% 0pen sourced ML pipeline \\ MLOps open sourced
ML Fundamentals
100% 0pen sourced ML pipeline \\ MLOps open sourced
MLOps.community Beginner 5y ago
MLOps.community #10 // MLOps - The Blind Men and the Elephant with Saurav Chakravorty
ML Fundamentals
MLOps.community #10 // MLOps - The Blind Men and the Elephant with Saurav Chakravorty
MLOps.community Intermediate 5y ago
Avoiding buzzwords when hiring for data scientists
ML Fundamentals
Avoiding buzzwords when hiring for data scientists
MLOps.community Beginner 5y ago
DevOps Vs MLOps
ML Fundamentals
DevOps Vs MLOps
MLOps.community Beginner 5y ago
Different mentalities between ML engineers and Data Scientists
ML Fundamentals
Different mentalities between ML engineers and Data Scientists
MLOps.community Beginner 5y ago
Evolution of data scientist titles and roles
ML Fundamentals
Evolution of data scientist titles and roles
MLOps.community Beginner 5y ago
Qualities to look for in an ML engineer
ML Fundamentals
Qualities to look for in an ML engineer
MLOps.community Beginner 5y ago
MLOps meetup #7 Alex Spanos // TrueLayer 's MLOps Pipeline
ML Fundamentals
MLOps meetup #7 Alex Spanos // TrueLayer 's MLOps Pipeline
MLOps.community Beginner 5y ago
3rd wave of data scientists
ML Fundamentals
3rd wave of data scientists
MLOps.community Beginner 5y ago
Reproducability flaws in end to end Machine Learning debugging
ML Fundamentals
Reproducability flaws in end to end Machine Learning debugging
MLOps.community Beginner 5y ago
Standardization of Machine Learning tools like in Software Engineering with Venkata Pingali
ML Fundamentals
Standardization of Machine Learning tools like in Software Engineering with Venkata Pingali
MLOps.community Beginner 5y ago
Adjacent usecases and multistep feature engineering
ML Fundamentals
Adjacent usecases and multistep feature engineering
MLOps.community Beginner 5y ago
Checkpointing, metadata, and confidence in your data
ML Fundamentals
Checkpointing, metadata, and confidence in your data
MLOps.community Beginner 5y ago
How many models in prod til I need a dedicated ML platform?
ML Fundamentals
How many models in prod til I need a dedicated ML platform?
MLOps.community Beginner 5y ago
More difficult transition for data scientists to become ML engineers
ML Fundamentals
More difficult transition for data scientists to become ML engineers
MLOps.community Beginner 5y ago
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Debug ML Code: Fix, Trace & Evaluate
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Self-paced
Debug ML Code: Fix, Trace & Evaluate
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Building Regression Models with Linear Algebra
📚 Coursera Course ↗
Self-paced
Building Regression Models with Linear Algebra
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Validate, Analyze, and Monitor ML Models
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Self-paced
Validate, Analyze, and Monitor ML Models
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AI For Medical Treatment
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Self-paced
AI For Medical Treatment
Opens on Coursera ↗
Practical Machine Learning
📚 Coursera Course ↗
Self-paced
Practical Machine Learning
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Machine Learning and Data Analytics Part 2
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Self-paced
Machine Learning and Data Analytics Part 2
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