Sun.Aug 23, 2020

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A Beginner’s Guide to CAP theorem for Data Engineering

Analytics Vidhya

Introduction We have had significant advances in distributed databases to handle the proliferation of data. This has allowed us to handle increased traffic with. The post A Beginner’s Guide to CAP theorem for Data Engineering appeared first on Analytics Vidhya.

Analytics 392
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Guide: Adapting to rapid change - Partnered content with Zendesk

Corinium

These days, getting customer support right is more important than ever. Companies must go above and beyond to meet the needs of their customers, even as budgets tighten and workloads rise. How can smaller teams punch above their weight to deliver exceptional customer service, even during times of rapid change? We looked at how more than 13,000 small and mid-sized businesses worldwide have been able to meet the challenges of 2020 and emerge with stronger, leaner support teams.

Reporting 195
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Many is not enough: Counting simulations to bootstrap the right way

Data Science and Beyond

Previously, I encouraged readers to test different approaches to bootstrapped confidence interval (CI) estimation. Such testing can done by relying on the definition of CIs : Given an infinite number of independent samples from the same population, we expect a ci_level CI to contain the population parameter in exactly ci_level percent of the samples.

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Step-By-Step Guide To Deploying A Data Driven Strategy For Local Search

Smart Data Collective

Big data has led to a number of changes in the digital marketing profession. The market for big data analytics in business services is expected to reach $274 billion by 2022. A large portion of this growth is attributed to the need for big data in the marketing field. It isn’t just large companies using big data and AI to get a competitive edge in marketing.

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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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Dataiku Series D: Fueling the Future of Enterprise AI

Dataiku

In today’s economic climate, organizations’ ability to quickly pivot operations to keep up with the changing world dictates success, and democratized Enterprise AI is a key component to achieving that level of agility. Today, we’re proud to announce a $100 million Series D funding round that will allow us to expand our platform and offerings to support this worldwide acceleration in Enterprise AI efforts.