July, 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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Convenience over common sense: The security dilemma of smart home devices

Dataconomy

Smart home devices are used to monitor or control the environment in our homes. These marvels of technology make life easier by handling changes in temperature, lighting, entertainment systems, and other appliances. But while they’re the height of convenience, we can’t ignore the security nightmare being created by their use.

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Converting Big Data into Actionable Intelligence

The Data Administration Newsletter

In today’s world, access to data is no longer a problem. There are such huge volumes of data generated in real-time that several businesses don’t know what to do with all of it. Unless big data is converted to actionable insights, there is nothing much an enterprise can do. And outdated data models no longer […].

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New data viz brings fans closer to Team USA

Tableau

Jackie Yeaney. EVP of Marketing, Tableau. Kristin Adderson. July 10, 2021 - 8:16pm. July 23, 2021. Meet Team USA. Over the next few weeks, 800-plus members of Team USA will converge in Tokyo to pursue their long-awaited Olympic and Paralympic dreams. These exceptional athletes will be competing in 339 medal events in 41 sports, including 22 Paralympic events, to be held in dozens of venues throughout Tokyo and surrounding regions.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Tree canopy and income

FlowingData

Ian Leahy and Yaryna Serkez for NYT Opinion look at income and tree canopy in major cities. Higher median income neighborhoods correlate with cleaner and cooler air. Tags: income , New York Times , trees.

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Data Strategy: The Missing Link in Your Digital Transformation Plan

Smart Data Collective

On the surface, digital transformation is a simple process. You take a business activity that is old and ineffective/inefficient and re-energize it with new technology. This could be moving your spreadsheets to cloud software or even going so far as to move up from paper to digital. There is nothing inherently wrong with this process, but the way digital transformation is deployed often misses powerful opportunities ripe for the taking.

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Combating infobesity with smaller data ‘bytes’

Dataconomy

“Infobesity” is a term we’re hearing more frequently these days as consumers are creating exponentially more data in their daily lives, and brands are similarly consuming larger portions. From eCommerce sites to a multitude of social media channels, there are terabytes of data available in today’s increasingly digital world.

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Communal Computing’s Many Problems

O'Reilly Media

In the first article of this series, we discussed communal computing devices and the problems they create–or, more precisely, the problems that arise because we don’t really understand what “communal” means. Communal devices are intended to be used by groups of people in homes and offices. Examples include popular home assistants and smart displays like the Amazon Echo, Google Home, Apple HomePod, and many others.

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Bringing the power of Explain Data to all Tableau users

Tableau

Santiago Becerra. Senior Director of Engineering, Augmented Analytics. Spencer Czapiewski. July 8, 2021 - 2:24am. July 8, 2021. Since its initial launch in 2019.3, Explain Data has offered analysts a jumping-off point for deeper data exploration. With a single click, Explain Data runs statistical models to find insights and relationships hidden within your data source—including analyzing data that's not in the current view—and surfaces possible explanations for the value of the selected mark.

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? Analyzing Data, General to More Specific – The Process 148

FlowingData

Welcome to issue #148 of The Process , the newsletter for FlowingData members about how the charts get made. I’m Nathan Yau, and this week I’m remembering to start an analysis with the basics — to get over the initial hump — and then generate questions towards more specific answers. Become a member for access to this — plus tutorials, courses, and guides.

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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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Can Online Machine Learning Tools Help with Personal Financial Management?

Smart Data Collective

Artificial intelligence is rapidly changing the state of finance. There is a lot of discussion about financial institutions relying on AI technology to better serve their customers. Intuitively, this also means that consumers stand to benefit from advances in artificial intelligence as well. However, they should not be passive about waiting for their bank, insurance company or other financial institution to advise them about new technology that can assist them.

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Everything You Need To Know About PandasGUI

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction How many times you have used Pandas library for your. The post Everything You Need To Know About PandasGUI appeared first on Analytics Vidhya.

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Sustainability data reveals surprises that challenge the status quo

Dataconomy

Data has evolved to be present in every part of our lives. When buying a product, we search for a consumer rating or an expert giving us a statistic on how effective the product is. We collect data from our experiences and use it to guide future actions. A similar.

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Metadata Improves Security, Quality, and Transparency

The Data Administration Newsletter

How does Spotify win against a competitor like Apple? They use data better. Using machine learning and AI, Spotify creates value for their users by providing a more personalized experience. Let’s take a quick look at the layers of aggregate information that are used to enhance their platform: – Spotify uses natural language processing (NLP) […].

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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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A reimagined Ask Data focused on a delightful experience for business users

Tableau

Santiago Becerra. Senior Director of Engineering, Augmented Analytics. Spencer Czapiewski. July 1, 2021 - 10:57pm. July 6, 2021. Since the original launch of Ask Data, our natural language interface, customers have signaled an increased appetite to introduce Ask Data more broadly across their organization. With the Tableau 2021.2 release, we’re excited to help our customers bring augmented analytics to more people—now, a reimagined Ask Data experience is available to all licensed Tableau users.

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Map of drying reservoirs in the west

FlowingData

To show water levels in California’s drying reservoirs, The Washington Post used upside down triangles to represent each reservoir. I like the idea to use an encoding that kind of looks like a reservoir, but my brain can’t help but read the fill level through height instead of area. Maybe the tradeoff isn’t worth it in this case? Compare this against a circle representation from 2015.

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Is Machine Learning Changing Our Approach to Asset Management?

Smart Data Collective

Wealth and asset management has come a long way, evolving through the use of artificial intelligence, or AI solutions. It is not meant to replace people and threaten their livelihood, but to strengthen the connection between businesses and their customers. Machine learning (ML) is a form of AI that is becoming more widely used in the market because of the rising number of AI vendors in the banking industry.

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Python on Frontend: ML Models Web Interface With Brython

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Machine learning is a fascinating field and everyone wants to. The post Python on Frontend: ML Models Web Interface With Brython appeared first on Analytics Vidhya.

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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.

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What you missed at Data Natives x VentureBeat Transform (and how to fix your FOMO)

Dataconomy

It was a week of superlatives. Data Natives x VentureBeat Transform week was an outstanding success in every aspect. Whether you measure the quality of the speakers, the content of the sessions, the incredible registered attendee facts, the support of our sponsors and partners, or the number of people watching.

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Machine Learning is Replacing Music Mastering

The Data Administration Newsletter

As AI continues to penetrate many areas of our lives, the music industry is no exception. Although there are many music production-related applications that involve AI, too many of them look like fun science projects without any applicability to the craft. However, in the past few years, the music industry has experienced a somewhat significant […].

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Best Practices for Metadata Management

Alation

What Is Metadata? Metadata is information about data. A clothing catalog or dictionary are both examples of metadata repositories. Indeed, a popular online catalog, like Amazon, offers rich metadata around products to guide shoppers: ratings, reviews, and product details are all examples of metadata. An asset alone is just the tip of the iceberg; metadata tells you “what lies beneath.”.

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Find a color palette based on words

FlowingData

PhotoChrome is a straightforward tool that lets you use search terms to find a color palette. Just enter a query, and it spits out a color scheme of hex values based on matching images. It’s like Picular from a few years ago but more focused with a copy-paste. Tags: color , images , words.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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Top 10 Big Data CRM Tools To Increase Business Sales

Smart Data Collective

Big data technology is incredibly important in modern business. One of the most important applications of big data is with building relationships with customers. Every enterprise wants to improve its business relationship and productivity. Therefore, CRM software comes into the picture to help enterprises achieve their business targets. These software tools rely on sophisticated big data algorithms and allow companies to boost their sales, business productivity and customer retention.

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Understanding Natural Language Processing -A Beginner’s Guide

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: Source: [link] Language is very important when we want to. The post Understanding Natural Language Processing -A Beginner’s Guide appeared first on Analytics Vidhya.

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GAIA-X and HEALTH-X dataLOFT add polypoly as a consortium partner to give citizens control over health data

Dataconomy

GAIA-X – a funding competition associated with the German Federal Ministry for Economic Affairs and Energy (BMWI) – has published the outlines for its first and second approval tranche, and polypoly is part of it as a consortium partner for the HEALTH-X dataLOFT project. GAIA-X is a project that aims.

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Humans and AI: AI, Marketing, and Behavioral Economics

DataRobot

Who loves paying taxes? No one? I thought so. Yet it’s possible to nudge people to more willingly pay their taxes on time. The Behavioural Insights Team, also known unofficially as the “Nudge Unit,” was founded by the UK government in 2010 to use behavioral science to make public policies and services more effective. One of its more successful experiments is the use of peer pressure to improve tax collection.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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All in the Data: Connecting Data to Revenue

The Data Administration Newsletter

I believe that my strongest articles and columns come from opportunities to work with great companies and organization. Of course, I cannot mention their names. But there is a strong possibility that you may have some of the same opportunities in front of you. A long-time client recently told me that, for their data and […].

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Noah Kalina’s averaged face over 7,777 days

FlowingData

Noah Kalina has been taking a picture of himself every day since January 11, 2000. He posted time-lapse videos in 2007 , 2012 , and 2020. Last year was the 20th of the project. Usually Kalina’s videos are a straight up time-lapse using every photo. But in this collaboration with Michael Notter, 7,777 Days shows a smoother passage of time. Notter used machine learning to align the face pictures, and then each frame shows a 60-day average, which focuses on an aging face instead of everything

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Understanding the Benefits And Risks Of Relying on AI

Smart Data Collective

John McCarthy invented the term Artificial Intelligence back in 1950. He said, “Every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. An attempt will be made to find how to make machines use language, form abstractions, and concepts, solve kinds of problems now reserved for humans, and improve themselves.”.

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Getting Started with Natural Language Processing using Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Why NLP? Natural Language Processing has always been a key tenet. The post Getting Started with Natural Language Processing using Python appeared first on Analytics Vidhya.

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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.