Thu.Jul 29, 2021

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How much Mathematics do you need to know for Machine Learning?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Image Source No matter how long-running a love-hate relationship you have. The post How much Mathematics do you need to know for Machine Learning? appeared first on Analytics Vidhya.

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Think About Growing Room When Buying an AI Platform

Dataiku

When shopping for kids’ clothes, you wouldn’t dream of buying anything that fits just right, or you risk finding yourself back at the store looking for the same item mere months later. You always think about a little growing room — sure, it has to be reasonably comfortable now, but it also needs to last. Buying an AI platform isn’t much different when it comes to that space for growth, and here’s why.

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Construct various types of Bar Race Charts with Plotly

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon [link] g Introduction Machine Learning is a hot topic nowadays. As. The post Construct various types of Bar Race Charts with Plotly appeared first on Analytics Vidhya.

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Learn How Cloudera Drives Healthcare Data Insights at HIMSS 21

Cloudera

HIMSS21 is just a few days away, and we hope you will join us to talk about how we can all achieve better health outcomes by working together. Health organizations across the world are evaluating safety precautions as COVID-19 cases continue to wax and wane and they consider universal questions such as, when is it safe to allow our administrative staff to return to the office, and how can we reassure our patients that we are committed to their health and safety?

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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Why You Must Leverage Encryption for Data Protection in the Digital Transformation Era

Smart Data Collective

The race to embrace digital transformation is on and a lot of organizations are doing everything possible to ensure they digitize every piece of information; this is, however, putting at greater risks of cyber-attacks and data breaches. Taking into account that the global spend on digital transformation is projected to hit an astonishing $2.39 Trillion by 2024 , it’s obvious that data security challenges will hit new heights.

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Humans and AI: What Should You Tell Consumers?

DataRobot

Have you ever asked a simple question, then unexpectedly received a complex answer? In my experience, this happened most often when dealing with lawyers and academics, but more recently I’ve noticed the same behavior coming from data scientists. Sometimes I just want a quick and simple explanation! What was your most hated subject at school? An AP-AOL news poll found that mathematics was the subject that 37% of Americans hated most during their school days, easily ranking as the most hated schoo

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Implementing Data Virtualization for the First Time

Data Virtualization

Data virtualization is a powerful data integration and data management approach, but if you are implementing data virtualization for the first time, it helps to know how to overcome some typical challenges. In this post, I’ll outline some of the. The post Implementing Data Virtualization for the First Time appeared first on Data Virtualization blog.

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Red Hat and Nutanix Partner to Deliver Big On Hybrid Cloud

Nutanix

Strategic alliance between industry leaders is a boon for enterprise customers’ cloud journeys

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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. But what exactly are we talking about when we talk about the Semantic Web? And what are the commercial implications of semantic technologies for enterprise data?

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Business Intelligence Dashboard Software: Make Business Successful

FineReport

Living in a digital era, foresighted enterprises resort to business intelligence to improve their competitiveness. Among amounts of intelligent choices, business intelligence(BI) dashboard software is an awesome one. BI dashboard software definition. Business intelligence dashboard is a common module that general business intelligence has to realize data visualization.

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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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Five Startup Apps with Embedded Use Cases We Love

Sisense

Blog. For startup companies that make apps, nothing is more important than the ability to scale for rapid growth. In the space of a few hours, your app could be top ranked on the Apple App Store or Google Play (or ideally, both), pulling in millions of downloads. COVID-19 drove many of us back into our homes and saw us spending tons of time on our phones, with Android users spending 3.5 trillion minutes in their apps during 2020.

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The Post-Pandemic Growth of the ESG Agenda

Jet Global

Of the many and varied impacts experienced as a result of the COVID-19 pandemic, one of the most noteworthy and potentially beneficial is a renewed focus on the environmental, social, and governance (ESG) agenda by leaders of large organizations. Having the ability to report accurately and transparently on financial and non-financial performance indicators relating to how companies are addressing factors such as carbon emissions, the circular economy, supply chain governance, work/life balance,