KDnuggets

OCTOBER 18, 2022

Calculus is one of the foundational pillars of understanding the mathematics behind machine learning algorithms. The post shares five free courses to help you master calculus and learn its real-world applications.

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Algorithm Machine Learning IT Data Science 113

AltexSoft

OCTOBER 18, 2022

Everyday the global healthcare system generates tons of medical data that — at least, theoretically — could be used for machine learning purposes. Regardless of industry, data is considered a valuable resource that helps companies outperform their rivals, and healthcare is not an exception. In this post, we’ll briefly discuss challenges you face when working with medical data and make an overview of publucly available healthcare datasets, along with practical tasks they help solve.

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KDnuggets

OCTOBER 18, 2022

In this article, I will go through the roadmap of books you need to become a Data Engineer.

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Data Engineering Data Engineer Engineering Data 151

Propel Data

OCTOBER 18, 2022

Learn how to move data from Amazon RDS into Snowflake so that it can be used for analytics.

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Database Data Analytics AWS Data 52

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

KDnuggets

OCTOBER 18, 2022

Check out this collection of advanced SQL interview questions with answers.

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SQL Data 156

Lyft Engineering

OCTOBER 18, 2022

When the Roe v. Wade decision was announced, a lot of us felt disheartened.

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Engineering 52

Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business. Clouderans continuously push for improvements in the system, with the goal of driving up confidence in the data.

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Cloud IT Data Warehouse AWS 86

Netflix Tech

OCTOBER 18, 2022

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations. A large number of batch workflows run daily to serve various business needs.

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Java Data Machine Learning Systems 81

Booking.com Engineering

OCTOBER 18, 2022

Developers love new technologies and are always eager to try things hands on. As a community, we thrive on problems that pave the way to new learning opportunities. Maintaining the operations of a legacy system is tedious. Developing a new feature on top of this is another challenge altogether. This post is about one such legacy process that is responsible for creating new properties on our platform, namely PropertyBuilder.

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AWS Building MySQL Database 52

DataKitchen

OCTOBER 18, 2022

The Perils of Heroic Data Work: Just Say, “Eww.” We’ve all been there. You’re up against a deadline, working tirelessly to get the job done. But what happens when that “job” leaves a hairball of technical debt that will need to be fixed and improved tomorrow? And what if, in a rush to get it done, you’re skipping key steps like automated testing and version control?

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Data Data Process Process IT 52

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.

Engineering