MachineLearning

AI Big Data Data

Data + AI Summit 2021 – Call for Presentations

The Data + AI Summit 2021 Call for Presentations is closing soon. Submit your full-length session ideas, lightning talk ideas, and more for the world’s largest gathering of Data + AI practitioners. The conference is at the end of May, but the CFP is due on Sunday, February 28. Data engineering, data analytics, AI, data […]

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Databricks

Introduction to Databricks Unified Data Platform

Simplify your data lake. Simplify your data architecture. Simplify your data engineering. Powered by Delta Lake, Databricks combines the best of data warehouses and data lakes into a lakehouse architecture, giving you one platform to collaborate on all of your data, analytics and AI workloads.

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Databricks

MLflow Model Serving in Databricks

Databricks MLflow Model Serving provides a turnkey solution to host machine learning (ML) models as REST endpoints that are updated automatically, enabling data science teams to own the end-to-end lifecycle of a real-time machine learning model from training to production. In this video from a Data + AI Summit Europe 2020 Meetup, Andre Mesarovic introduces […]

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Data Science Machine Learning R

Reproducible Data Science with Machine Learning

Rafal Lukawiecki has been actively working in data science, machine learning, and data mining for well over a decade, and he has formally studied and used artificial intelligence long before it was popular, back in the great AI Winter. Watch this episode to find out how he organizes his reproducible workflow.

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AI Ethics

Why You’re Not Solving the Problem You Think You’re Solving with AI

Join Seth Juarez as he delves into ethical concerns with AI with Josh Lovejoy, who leads Design for Microsoft Ethics & Society within Cloud + AI, and Sarah Bird, who leads Responsible AI for Cognitive Services. This video explores how to think about Ethical AI and how to ensure the software you build is designed, […]

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AI Azure

Distributed Processing

Parallel run in Azure Machine Learning enables big data processing in distributed manner. In this video, learn more about Azure Machine Learning dataset; how it can help manage your data in machine learning workflow; and how to use dataset in parallel run to accelerate your big data processing. Learn More: Azure Machine Learning Datasets https://aka.ms/AIShow/CreateAzureMLDatasets […]

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Databricks

Scaling Pandas with Apache Spark + Koalas for ML

Databricks recently held a webinar on how they worked with Virgin Hyperloop One engineers. They discuss the goals, implementation, and outcome of moving from Pandas code to Koalas code and using MLflow. Lots of code, notebooks, demos, etc. Come hear Patryk Oleniuk, Software Engineer at Virgin Hyperloop (VHO) discuss how VHO has dramatically reduced processing […]

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