Day: November 6, 2020

Python Space

Predicting Meteor Showers Using Python and Visual Studio Code

Join this live stream as Dr G explores how data science plays a role in predicting celestial events. No coding experience required, and you can follow along with the free Microsoft Learn lessons at https://aka.ms/LearnWithDrG/OverTheMoon.

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DevOps Machine Learning

What Parts of an ML Project Should Be in Source Control?

In part 7 of this series Damian Brady is back to share more thoughts about ML and ML projects.

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Linux

What’s New inUbuntu 20.10?

The Ubuntu 20.10 release features a number of modest changes and improvements. In this video review by OMG! UBUNTU!  take look at what’s new in Ubuntu 20.10, from the latest GNOME 3.38 desktop to a powerful new Linux kernel.

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Azure Azure Synapse Databricks

Comparing Azure Synapse, Snowflake and Databricks for Common Data Workloads

In this video, Chris Seferlis describes some of the most common data workloads that are being deployed on Azure and which of the 3 major compute engines are best for each workload.

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AI

An That AI Creates A 3D Model of You

Two Minute Papers explores the paper “PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization.”

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Databricks

BI to Lakehouse Round 3: Community Questions Answered

Considering shifting gears into Spark Data Engineering? We have another fun session with Simon Whiteley  and Denny Lee as they answer your questions from their last two tech talks.

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Azure Data

What is Azure Arc Enabled PostgreSQL Hyperscale?

In this episode with Jean-Yes Devant, learn about Azure Arc enabled PostgreSQL Hyperscale and see an overview of its capabilities.

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Top Technical and Non-Technical Skills Every Data Scientist Needs
Career Data Science

Top Technical and Non-Technical Skills Every Data Scientist Needs

As the demand for data scientists increases, the field presents an appealing career path for students and existing technologists. Here’s list of the top technical and non-technical skills every data scientist needs to be successful. Utilizing big data, as an insight-producing engine has driven the demand for data scientists, across industry verticals. Regardless of whether […]

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