Sat.Feb 13, 2021 - Fri.Feb 19, 2021

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Introduction to Machine Learning for Absolute Beginners

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Machine learning.Sounds cool right? When I see those two words, The post Introduction to Machine Learning for Absolute Beginners appeared first on Analytics Vidhya.

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How You Can Expedite Your Venture With machine learning

Dataconomy

Machine learning (ML) is a definite branch of artificial intelligence (AI) that brings together significant insights to solve complex and data-rich business problems by means of algorithms. ML understands the past data that is usually in a raw form to envisage the future outcome. It is gaining more and more.

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Technologies that Could See Significant Growth

The Data Administration Newsletter

With the new year events well behind us, we’re steadily focused on moving forward in 2021. While we have seen a change in the calendar year, one initiative that continues to be a top priority for businesses is storing, managing, accessing and optimizing corporate data. Given that, let’s consider what I believe will be some […].

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Big Data Insights Show Surprising Impact of Diversity on Likelihood of Successful Ransomware Attacks

Smart Data Collective

Big data has shed some important insights on a number of facets of modern organizational functions. One of the areas that has been shaped by big data is cybersecurity. We have talked about the importance of using big data to strengthen cybersecurity by creating more robust defenses. However, there are also less direct reasons that big data can be important for stopping cyberattacks.

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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Multicollinearity: Problem, Detection and Solution

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. What is Multicollinearity? One of the key assumptions for a regression-based. The post Multicollinearity: Problem, Detection and Solution appeared first on Analytics Vidhya.

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Overcoming 7 AI Challenges in 2021

Dataconomy

AI has become an indispensable resource for many businesses in 2020 amid the challenges of COVID-19. Despite economic stress, 61% of high-performing companies invested more in AI in 2020. As recovery from pandemic losses gets underway, more may turn to AI to strengthen their digital transformation. Increased investments in AI.

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Data Mining Vital Statistics Yields Fascinating Societal Insights

Smart Data Collective

Data mining serves many essential purposes in numerous applications. It can be vital for identifying some of the most important social trends affecting people all over the country. Last April, we talked about ways that social data can be useful in business. However, social data can serve even more important purposes, especially for public policy makers, GMOs and leading nonprofits.

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6 Open Source Data Science Projects That Provide an Edge to Your Portfolio

Analytics Vidhya

ArticleVideos Introduction “I understand the concepts well. Why should I focus on data science projects in my data science journey?” I have been in. The post 6 Open Source Data Science Projects That Provide an Edge to Your Portfolio appeared first on Analytics Vidhya.

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The Curated Internet and the rebirth of performance advertising

Dataconomy

The early months of the COVID-19 pandemic saw a dramatic decline in advertising spend across the board, encompassing both top-of-the-funnel brand advertising (designed to generate awareness among new customers) and mid-to-bottom funnel performance advertising (aimed at generating leads and sales). As businesses adjusted to their new trading environment, advertising spend.

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How AI Helps Banks Identify Cross-Selling and Upselling Opportunities

DataRobot

Banks regularly create campaigns to offer new products to their customers. According to market research, it’s easier to sell a product to an existing customer than to sell a product to a new, qualified prospect. In today’s marketplace, banks provide a variety of deposit, lending, and investment products to individuals and businesses, but a good proportion of current customers might only use one or two of them.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Alation 2021.1: Getting users to the data they need, faster

Alation

In the newest release, Alation 2021.1, Alation takes big steps to further accelerate onboarding and adoption, expanding the catalog to welcome more classes of users, and lowering their barrier to entry with more organized information. In 2021.1, Alation increases search relevancy with data domains, adds new data governance capabilities, and speeds up time-to-insight with an Open Connector Framework SDK.

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Customer Sentiments Analysis of Pepsi and Coca-Cola using Twitter Data in R

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Coca-Cola and PepsiCo are well-established names in the soft drink. The post Customer Sentiments Analysis of Pepsi and Coca-Cola using Twitter Data in R appeared first on Analytics Vidhya.

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How Synthetic Data Powers Real-World AI Applications

Dataversity

Click to learn more about author Ashok Sharma. Machine learning (ML) algorithms are everywhere these days. AI applications aren’t something that will be present in the future. They’re already here and have begun making an impact on our lives. AI usage is currently in an embryonic stage and faces significant challenges. The biggest challenge surrounds the […].

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Back to school: JMU parent helps improve university’s COVID-19 dashboard

Tableau

Kristin Adderson. February 17, 2021 - 7:09pm. February 17, 2021. Data visualization is a collaborative exercise. Sometimes help comes from unexpected places. As James Madison University (JMU) prepared for Fall 2020 classes, freshman parent and Tableau Partner, Lee Feinberg, volunteered to help improve the school’s Stop The Spread dashboard. JMU’s commitment to data transparency, through both university- and self-reported cases, has contributed to more than 540,000 views of its COVID-19 dashboard

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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7 Data-Driven Steps to Putting Your SaaS Product On Multiple Virtual Shelves

Smart Data Collective

Big data is fundamental to the future of software development. A growing number of developers are finding ways to utilize data analytics to streamline technology rollouts. Data-driven solutions are particularly important for SaaS technology. New SaaS businesses have discovered that data analytics is important for facilitating many aspects of their models.

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Machine Learning Model Deployment using Django

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Pre-requisites Understanding of Machine Learning using Python (sklearn) Basics of Django. The post Machine Learning Model Deployment using Django appeared first on Analytics Vidhya.

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The Most Important Cybersecurity Trends to Watch This Year

Dataversity

Click to learn more about author Jackson Shaw. With the global COVID-19 pandemic altering the way enterprise organizations do business and their employees work, it’s been a particularly challenging year for IT professionals. In addition to the complexities of migrating entire organizations to working remotely, it’s also their responsibility to ensure the new tools employees […].

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How to Win a Data Hackathon (Hacklytics 2021)

Eugene Yan

What the top teams did to win the 36-hour data hackathon. No, not machine learning.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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EHR/EMR Software Development Recommendations in a Health Market Governed By Big Data

Smart Data Collective

How do doctors feel about electronic health records (EHRs)? What do they want from this type of software? And what are the major barriers to doctors’ use of EHRs? should be your priority questions if you’ve decided to build custom healthcare software for your medical practice or implement an existing solution. Big data has had a tremendous affect on the healthcare sector.

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Dialogue Summarization: A Deep Learning Approach

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Dialogue Summarization: Its types and methodology Image cc: Aseem Srivastava. The post Dialogue Summarization: A Deep Learning Approach appeared first on Analytics Vidhya.

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Increasing the Business Impact of Data Management Using Force-Field Analysis

Dataversity

Click to learn more about co-author John Ladley. Click to learn more about co-author Thomas Redman. This article introduces Force-Field Analysis (FFA) [1], a tool that one of us (Tom) has used for many years to help understand and summarize the impacts of multiple factors in the data space. The goal is to equip readers […]. The post Increasing the Business Impact of Data Management Using Force-Field Analysis appeared first on DATAVERSITY.

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DAMA International Community Corner: 2020 Reflections and 2021 Resolutions

The Data Administration Newsletter

Announcements and News DAMA International and Local Chapter members! Welcome to the DAMA Corner, a source of information for data management professionals here on TDAN.com, the industry leading publication for people interested in learning about data administration and data management disciplines and best practices. Each column provides an update on the professional organization DAMA International, and an opportunity to […].

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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Alation 2021.1: Architecting a Platform for Data Intelligence with Junaid Saiyed, SVP of Engineering at Alation

Alation

Mitesh Shah, VP of product marketing: Before we jump into what’s new with Alation 2021.1, can you talk about what it means for Alation to be a platform? Junaid Saiyed, SVP of Engineering at Alation: I’m happy to. Alation has evolved a great deal since pioneering the data catalog category. Initially, Alation was a solution that made it dramatically easier to find, understand, and trust data.

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A Gentle Introduction to AI for Medical Imaging

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Medical Imaging plays an important role in modern medicine. It. The post A Gentle Introduction to AI for Medical Imaging appeared first on Analytics Vidhya.

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What Do Business Leaders Need to Know About Data Strategy?

Dataversity

Click to learn more about author Gary McCarthy. Despite significant investments in Data Management, data problems persist in many organizations. One reason for this is the view of data as a technology project rather than a corporate asset. As such, most enterprises do not have a defined Data Management plan and are therefore not able […]. The post What Do Business Leaders Need to Know About Data Strategy?

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Data Management 20/20: The Unacceptable Cost of Bad Data – Part 1

The Data Administration Newsletter

“…quite simply, the better and more accessible the data is, the better the decisions you will make.” – “When Bad Data Happens to Good Companies,” (environmentalleader.com) The Business Impact of an organization’s Bad Data can cost up to 25% of the company’s Revenue (Ovum Research) Bad Data Costs the US healthcare $314 Billion. (IT Business […].

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Now available in Tableau 2021.1—Einstein Discovery in Tableau, quick LODs, a new unified notification experience, and more

Tableau

Emily Chen. Product Marketing Specialist, Tableau. Spencer Czapiewski. February 17, 2021 - 8:07pm. March 26, 2021. The newest release of Tableau is here! Tableau 2021.1 brings exciting functionality to help your people make smarter, faster business decisions. Upgrade to take advantage of these new innovations, and learn more about how Tableau brings AI into analytics to help users across your organization answer pressing questions.

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A Simple Machine Learning Implementation to Predict Linear Algebra in Python

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Photo by Max Fischer from Pexels Machine learning is used. The post A Simple Machine Learning Implementation to Predict Linear Algebra in Python appeared first on Analytics Vidhya.

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Three Strategies for Navigating the IT-OT Convergence Strategy

Dataversity

Click to learn more about author Bill Scudder. Operating technology (OT) and information technology (IT) share a common goal of driving new value and successes for enterprises, but their tactics, perspectives, and priorities for accomplishing those goals have historically differed. However, for organizations in capital-intensive industries, the acceleration of Industry 4.0 is creating a dramatically […].

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New Approach to Reference Data Management in Pharma

The Data Administration Newsletter

Data supply chains in pharma and life sciences are generally long and complex. They typically involve multiple business units, both inside and outside a given enterprise. This impacts reference data in particular because its management is very distributed, leading to the increased need for downstream integration as well as overall redundancy. Although it might seem […].

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.