Tue.Jul 05, 2022

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Data Preparation in R Cheatsheet

KDnuggets

Leverage the powerful data wrangling tools in R’s dplyr to clean and prepare your data.

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The 7 Steps for an Analytics-led Digital Transformation

Teradata

In the current age of AI, all digital transformations must be analytics-led. Learn the 7 steps needed to realize the promise of an analytics-led digital transformation.

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Developing an Open Standard for Analytics Tracking

KDnuggets

Striving for a new generic way to structure analytics data, so models built on one data set can be deployed and run on another.

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Migrating from Styleguidist to Storybook

Yelp Engineering

One of the core tenets for our infrastructure and engineering effectiveness teams at Yelp is ensuring we have a best-in-class developer experience. Our React monorepo codebase has steadily grown as developers create new React components, but our existing React Styleguidist (Styleguidist, for short) development environment has failed to scale in parallel.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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Linear Regression for Data Science

KDnuggets

In this article, we discuss the importance of linear regression in data science and machine learning.

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How to build in-product analytics with Snowflake and GraphQL | Propel Data Analytics Blog

Propel Data

Propel Data is excited to announce support for Snowflake. Developers are now able to build on top of GraphQL APIs powered by Snowflake data.