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Databricks

  • Data Science
  • 0 Case Studies
Databricks simplifies data and AI so you can innovate faster

Jan 19

Combining Rules-based and AI Models to Combat Financial Fraud

Learn how to build a fraud prevention framework that goes beyond just creating highly accurate ml models using complex decision science setup that combines a rules engine with a robust and scalable machine learning platform.

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Mar 03

Analyzing Algorand Blockchain Data With Databricks Delta (Part 2)

Learn more about real-time Blockchain analytics with the Databricks platform, including how to use Delta auto loader with structured streaming to ingest and curate data and deliver powerful visualizations and business insights with SQL and Graph Analytics.

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Mar 02

Introducing Apache Spark™ 3.1

Learn more about the latest release of Apache Spark, version 3.1, including Project Zen, and how you begin using it through Databricks Runtime 8.0.

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Feb 26

Announcing General Availability (GA) of the Power BI connector for Databricks

Learn more about the Microsoft Power BI connector for Databricks and how it improves the experience for Databricks customers performing BI workloads directly on their Delta Lake.

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POSTS FROM RELATED COMPANIES
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Utilizing XGBoost training reports to improve your models

In 2019, AWS unveiled Amazon SageMaker Debugger, a SageMaker capability that enables you to automatically detect a variety of issues...

AWS - Machine Learning - Mar 03 - Blog Post:
Integrating Amazon Polly with legacy IVR systems by converting output to WAV ...

Amazon Web Services (AWS) offers a rich stack of artificial intelligence (AI) and machine learning (ML) services that help automate...

AWS - Machine Learning - Mar 03 - Blog Post:
Introducing Amazon SageMaker Reinforcement Learning Components for open-sourc...

This blog post was co-authored by AWS and Max Kelsen. Max Kelsen is one of Australia’s leading Artificial Intelligence (AI)...

Domino Data Lab - Mar 03 - Blog Post:
Defining clear metrics to drive model adoption and value creation

One of the biggest ironies of enterprise data science is that although data science teams are masters at using probabilistic...

Neptune - Mar 03 - Blog Post:
Transfer Learning Guide: A Practical Tutorial With Examples for Images and Te...

It can take weeks to train a neural network on large datasets. Luckily, this time can be shortened thanks to...

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