Mon.Aug 15, 2022

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What Does ETL Have to Do with Machine Learning?

KDnuggets

ETL during the process of producing effective machine learning algorithms is found at the base - the foundation. Let’s go through the steps on how ETL is important to machine learning.

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#Clouderalife Volunteer Spotlight: Thatiane Freire, Account Executive, Public Sector

Cloudera

Cloudera’s August Volunteer Spotlight is Thatiane Freire, account executive for the public sector, located in Bras í lia, Brazil, and one of the company’s Cloudera Cares Ambassadors. . Thatiane volunteers with a local organization called Casa de Caridade Inacio Daniel, which began with the goal to meet the day-to-day, foundational needs of the homeless community in Bras í lia.

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Top Posts August 8-14: Free AI for Beginners Course

KDnuggets

Free AI for Beginners Course • How to Perform Motion Detection Using Python • 3 Free Statistics Courses for Data Science • The 5 Hardest Things to Do in SQL • Decision Tree Algorithm, Explained.

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7 Steps for Building a Successful Data Team at Your Startup

Monte Carlo

When you’re the first data hire at a startup, the sky’s the limit—and that can be incredibly overwhelming. Who do you hire first? What tools should you invest in? What KPIs should you measure? And much more. No matter how you cut it, you don’t have an instruction manual, and given how fast the data landscape is evolving, it’s hard to find (let alone follow) best practices for building a data team from scratch.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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The Complete Collection of Data Science Projects – Part 2

KDnuggets

The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps.

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What Is the Use of a Virtual Warehouse in Snowflake Analytics? | Propel Data Analytics Blog

Propel Data

In Snowflake, you allocate “virtual warehouses” (computing clusters) to execute the SQL database commands that you run on the data platform.