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Getting started with MLflow
Lecture 3 of MLOps with Databricks course
23 hrs ago
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Maria Vechtomova
4
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Getting started with MLflow
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Developing on Databricks
Lecture 2 of MLOps with Databricks course
Jul 29
•
Maria Vechtomova
9
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Developing on Databricks
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Introduction to MLOps
Lecture 1 of MLOps with Databricks course
Jul 28
•
Maria Vechtomova
21
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Introduction to MLOps
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Stop Building AI agents
Maria: Today, the scene is owned by Hugo, a brilliant mind who advises and teaches teams building LLM-powered systems, including engineers from Netflix…
Jul 7
•
Maria Vechtomova
and
Hugo Bowne-Anderson
23
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Stop Building AI agents
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June 2025
Here comes another bubble (2025)
The AI hype song
Jun 21
•
Maria Vechtomova
7
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Here comes another bubble (2025)
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1:44
May 2025
Using Polars in unison with Databricks Unity Catalog
The advent of Polars is not surprising given the performance it delivers.
May 24
•
Maria Vechtomova
and
Casper Lubbers
8
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Using Polars in unison with Databricks Unity Catalog
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How to debug ML deployments 20x faster
Test Databricks model deployments locally
May 1
•
Mehmet Acikgoz
and
Maria Vechtomova
6
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How to debug ML deployments 20x faster
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February 2025
Unicorns and Rainbows: The Reality of Implementing AI in a Corporate
The AI Bubble: Hype, herd mentality, and harsh realities
Feb 5
•
Maria Vechtomova
and
Alexandru Vesa
18
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Unicorns and Rainbows: The Reality of Implementing AI in a Corporate
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Navigating Databricks developer tools
Developing on Databricks outside of Databricks environment is challenging, and there are 4 main developer tools Databricks provides:
Feb 1
•
Maria Vechtomova
9
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Navigating Databricks developer tools
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December 2024
Building an End-to-end MLOps Project with Databricks
Last October, I had the privilege of enrolling in the newly launched MLOps Course on Databricks, led by Maria Vechtomova and Başak Tuğçe Eskili .
Dec 4, 2024
•
Benito Martin
31
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Building an End-to-end MLOps Project with Databricks
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November 2024
Streamlining ML Model Monitoring with Databricks Lakehouse and Inference Tables
Databricks Lakehouse Monitoring supports the creation of dashboards on Delta tables and serves as a monitoring tool for ML models.
Nov 28, 2024
•
Başak Tuğçe Eskili
11
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Streamlining ML Model Monitoring with Databricks Lakehouse and Inference Tables
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Traffic Splits Aren’t True A/B Testing for Machine Learning Models
A/B Testing is the most common user experience research method.
Nov 4, 2024
•
Başak Tuğçe Eskili
3
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Traffic Splits Aren’t True A/B Testing for Machine Learning Models
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