Tue.Oct 12, 2021

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Digital Twins and Their AI Use Cases

Dataiku

Barry Boehm, perhaps the most influential software engineer of his generation, was delivering software to a military submarine in the early 1970s in the form of a big three-foot long metal tray filled with paper punch cards. An officer asked if the software would be on the boat when they sailed. Boehm said yes, it’s part of a new system they’ll be testing on this voyage.

Software 105
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Support Vector Machine(SVM): A Complete guide for beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction to Support Vector Machine(SVM) SVM is a powerful supervised algorithm that works best on smaller datasets but on complex ones. Support Vector Machine, abbreviated as SVM can be used for both regression and classification tasks, but generally, they work best in classification […].

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The Quality of Auto-Generated Code

O'Reilly on Data

Kevlin Henney and I were riffing on some ideas about GitHub Copilot , the tool for automatically generating code base on GPT-3’s language model, trained on the body of code that’s in GitHub. This article poses some questions and (perhaps) some answers, without trying to present any conclusions. First, we wondered about code quality. There are lots of ways to solve a given programming problem; but most of us have some ideas about what makes code “good” or “bad.”

Testing 306
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Deep Learning based Malaria Detection Model for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Malaria is a significant burden on our healthcare system and it is the major cause of death in many developing countries. It is endemic in some parts of the world which means that the disease is regularly found in the region. Therefore, early […]. The post Deep Learning based Malaria Detection Model for Beginners appeared first on Analytics Vidhya.

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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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Starting a Career as an Analytics-Driven Video Game Coach

Smart Data Collective

There are tremendous career opportunities for people that are knowledgeable about analytics. You will need to know what steps to take if you are interested in using your analytics knowledge to find a new career. Some of the career opportunities for people with a background in analytics are pretty obvious. You will be able to become a data scientist, data-driven marketing consultant, information systems experts using big data or a variety of other technology focused jobs.

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Master the basics of R Programming

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview: Introduction to the R programming language Data Structures available in R: vectors, factors, matrices, lists, data frames Overview of conditional statements and functions Linear Regression Model Introduction R is a programming language created and developed in 1991 by two statisticians at the University […].

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Role of an Business Analyst in an Agile Environment

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Image 1 Making a switch from the traditional approaches to Agile methods can challenging for business analysts. Although there are plenty of resources available to support Agile teams, there are limited resources to guide Business Analysts to make a smooth transition to an […].

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Windows OS Optimization Essentials Part 3: Services & Scheduled Tasks

Nutanix

This blog series introduces you to Windows® Operating System (OS) optimizations, starting with version 1903.

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Dashboards for 10-Year-Olds: Connecting Data to Students’ Lived Experience

Depict Data Studio

Bob Coulter is the director of the Litzsinger Road Ecology Center, a 38-acre field site in suburban St. Louis. He’s also a Depict Data Studio student and when he shared his work in our graduation ceremony, I knew it needed to be showcased. Keep up the great work Bob! – Ann. __. For the past few months, I’ve been developing dashboards to support students’ understanding of local ecology and equip them to use that local understanding as a baseline to explore the rest of the world.

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What is new in Cloudera Streaming Analytics 1.5?

Cloudera

At the end of May, we released the second version of Cloudera SQL Stream Builder (SSB) as part of Cloudera Streaming Analytics (CSA). Among other features, the 1.4 version of CSA surfaced the expressivity of Flink SQL in SQL Stream Builder via adding DDL and Catalog support, and it greatly improved the integration with other Cloudera Data Platform components, for example via enabling stream enrichment from Hive and Kudu. .

Analytics 111
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Leverage Data Virtualization to Build a Modern Data System

CDW Research Hub

Creating a modern data platform designed to support your current and future needs is critical in a data-driven organization. Business leaders need to quickly access data—and to trust the accuracy of that data—to make better decisions. As organizations grow and evolve, many find a need for more sophisticated analytics across an ever-increasing amount of digital and consumer data.

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How Can You Keep Your Analytics from Withering in the Transition Valley of Death? LTC Kristin Saling Explains

DataRobot

Between its active and reserve guard and a substantial civilian component, the U.S. Army’s total workforce stands at roughly between 1.2 and 1.4 million people. Now add in the fact that Army troops are stationed in roughly 800 military bases in more than 70 countries and territories around the world, and you can understand the organizational challenges this organization faces each day.

Sales 52
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Enterprise Analytics: Key Challenges & Strategies

Alation

How can we grow our business faster? How can we better know our customers? What new market opportunities exist? How can we better tailor our new products? Enterprise data analytics enables businesses to answer questions like these. It empowers analysts to model scenarios, forecast change, and predict impact of real or imagined events. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business.