Sat.Jul 03, 2021 - Fri.Jul 09, 2021

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How to choose an appropriate Machine Learning Algorithm for Data Science Projects?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, I am going to explain the steps. The post How to choose an appropriate Machine Learning Algorithm for Data Science Projects? 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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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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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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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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12 Matrix Operations You Should Know While Starting your Deep Learning Journey

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction If you start to learn deep learning, the first thing. The post 12 Matrix Operations You Should Know While Starting your Deep Learning Journey 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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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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All Fundamentals of Python Functions that You Should Know – A Quick Brush Up!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, you’ll learn about Python functions and their applications. The post All Fundamentals of Python Functions that You Should Know – A Quick Brush Up! appeared first on Analytics Vidhya.

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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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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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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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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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Shipping your Machine Learning Models With Dockers

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Docker is a platform that deals with building, running, managing, The post Shipping your Machine Learning Models With Dockers appeared first on Analytics Vidhya.

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? Retired Minard – The Process 147

FlowingData

Welcome to issue #147 of The Process , the newsletter for FlowingData members about how the charts get made. I’m Nathan Yau, and this week I’m thinking about finite years, the long game, and learning visualization at an older age. Become a member for access to this — plus tutorials, courses, and guides.

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Data Management Enables eCommerce Success

The Data Administration Newsletter

With the continuous evolution of technology and daily shifts in shopping trends, eCommerce is constantly adapting. Using reliable insights to keep up with rapid market changes, businesses are also deploying data mining and predictive analytics across massive amounts of clickstream and transactional data. However, today’s buying journey is no longer linear.

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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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Leveraging Social Analytics for Optimizing Your Marketing Strategy

Smart Data Collective

Analytics is extremely important for any company that wants to get the most out of its marketing efforts. Social media marketing is no exception. It is impossible to create an effective social media marketing strategy without utilizing big data analytics effectively. You need to learn how to use big data and social analytics with your marketing strategy.

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Topic modeling With Naive Bayes Classifier

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Naive Bayes is a powerful tool that leverages Bayes’ Theorem. The post Topic modeling With Naive Bayes Classifier appeared first on Analytics Vidhya.

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Data Onboarding: The Critical (Yet Difficult) First Step

Dataversity

Click to learn more about author Eric Crane. After the work of engaging a prospect, pitching the product, going through an evaluation process, and finally landing the business, the last thing you want is to stumble in those first critical interactions where you bring your new customer on board and start servicing the business. As […]. The post Data Onboarding: The Critical (Yet Difficult) First Step appeared first on DATAVERSITY.

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The Key Role of the Data Governance Partner

The Data Administration Newsletter

A question was raised in a recent webinar about the role of the Data Architect and Data Modelers in a Data Governance program. My webinar with Dataversity was focused on Data Governance Roles as the Backbone of Your Program. The person asking the question shared their opinion that people in these roles must play a […].

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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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How BIM Can Use AI to Increase Workflow Efficiency

Smart Data Collective

Ever since its emergence at the beginning of the century, building information modeling (BIM) has streamlined the construction process of buildings, up from their conception to execution. Acting as a powerful 3D design tool, BIM software like Revit allows its users to visualize the final end product and make modifications that integrate with the model seamlessly.

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Build Sketches from Photographs using OpenCV

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Table of content What is OpenCV and its Uses Project Explanation. The post Build Sketches from Photographs using OpenCV appeared first on Analytics Vidhya.

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How big tech grew by acquiring small tech

FlowingData

Big tech — Amazon, Apple, Google, and Facebook — got big and then got bigger with acquisitions of smaller companies. The Washington Post took a comprehensive look at all of the acquisitions over the years : They all followed a similar pattern. First, they became dominant in their original business, like e-commerce for Amazon and search for Google.

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Can We Reduce the Risks of Artificial Intelligence?

The Data Administration Newsletter

Artificial intelligence (AI) is already in place with applications in areas such as medicine, automobile, education, communication infrastructure, and more. Whereas many individuals and businesses like venturing into AI, some are reluctant because of possible threats. Some of the risks are relevant today, while others represent future concerns. These could relate to racial and gender […].

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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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Using Data Analytics for Selecting Staff Augmentation & Managed Services

Smart Data Collective

Many companies have discovered that it is very difficult to find a pool of talented employees. Fortunately, new advances in big data technology are helping companies get better qualified workers. Data analytics technology is very important in assessing the performance of staffing services. Companies can use data analytics to improve their hiring processes.

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15 Python Built-in Functions which You Should Know while learning Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In my previous article, I completely discuss all the basic. The post 15 Python Built-in Functions which You Should Know while learning Data Science appeared first on Analytics Vidhya.

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How sports owners pay less taxes than athletes

FlowingData

ProPublica continues their analysis of an anonymous dump of tax records, this time with a focus on billionaire sports owners : The law favors people who are rich because they own things over people who are rich because they make a high income from their work. Wages — the main source of income for most people, including athletes — are taxed at the highest rates of all, topping out at a marginal rate of 37% plus an extra 3.8% for Medicare.

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AI Transforming Unstructured Data Governance

The Data Administration Newsletter

The business case for data governance has been made several times in these pages. There can be no disagreement that every company and every government office must have a data governance strategy in place. Establishing good data governance is not just about avoiding regulatory fines. The data economy is growing, and data-driven organizations will dominate […].

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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 5 AI-Driven Furniture Engineering Design Applications

Smart Data Collective

Anybody that is familiar with the nature of technology recognizes the contributions of artificial intelligence. AI technology has been instrumental in transforming the healthcare and financial industries, as well as many other sectors. Fewer people talk about the role that AI has played in the creative arts professions. However, there are a number of reasons that AI has become invaluable to designers working across many different types of media.

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Everything You Should Know about Iterables and Iterators in Python as a Data Scientist!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Python is a beautiful Programming Language. Because of its flexibility. The post Everything You Should Know about Iterables and Iterators in Python as a Data Scientist! appeared first on Analytics Vidhya.

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Influencing without Authority for Data Scientists

Eugene Yan

Show them the data, the Socratic method, earning trust, and more.

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Value of R, the Statistics-specific language

FlowingData

Paul Ford has been learning R to better understand the field of Statistics. The takeaway: Deep in its heart, R is a language for making charts, and it’s genuinely fun to go into its world: statistics, natural sciences, sociology — all right there. You will never pry me away from JavaScript or Python or the whole web stack of standards and protocols.

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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.