Sat.May 01, 2021 - Fri.May 07, 2021

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Machine Learning with Python: Logistic Regression

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. What Is Logistic Regression? This article assumes that you possess. The post Machine Learning with Python: Logistic Regression appeared first on Analytics Vidhya.

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Machine Learning vs. Artificial Intelligence: Which Is the Future of Data Science?

Dataconomy

When we imagine the future of AI, we may think of the fiction we see in cinema: highly advanced robots that can mimic humans so well as to be indistinguishable from them. It is true that the ability to quickly learn, process, and analyze information to make decisions is a.

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The Full Stack Data Scientist Part 6: Automation with Airflow

Applied Data Science

This is part of the Full Stack Data Scientist blog series. I’ve written an introductory blog here , and I’d also recommend reading the Practical Introduction to Docker before working with this post’s tutorial. Building end-to-end data science solutions means developing data collection, feature engineering, model building and model serving processes.

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Humans and AI: Organizational Change

DataRobot

According to McKinsey, “Research shows that 70 percent of complex, large-scale change programs don’t reach their stated goals. Common pitfalls include a lack of employee engagement, inadequate management support, poor or nonexistent cross-functional collaboration, and a lack of accountability.”. Last year I was doing some spring cleaning and looking for space in my home office for a digital piano.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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A Complete Guide for Creating Machine Learning Pipelines using PySpark MLlib on Google Colab

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Overview This article focuses on exploring Machine Learning using Pyspark. The post A Complete Guide for Creating Machine Learning Pipelines using PySpark MLlib on Google Colab appeared first on Analytics Vidhya.

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4 Trends Driving Healthcare’s Digital Transformation in 2021

Dataconomy

Digital transformation is more than a mythical buzzword these days. Technological improvements have disrupted many industries, and innovation has transformed the way businesses execute their processes. The number of advances healthcare has made in recent years is mind-boggling, but they’re just getting started.

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The Changing Database Landscape

The Data Administration Newsletter

When you’ve been involved in data management for as long as I have, things are definitely bound to change. And things have changed, quite a lot, in fact. Back when I started in IT, IMS was the primary database system used at most big enterprises and most of the computing was done on mainframe systems. […].

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An Introduction to Statistics For Data Science: Basic Terminologies Explained

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Are you an aspiring data scientist who wants to learn. The post An Introduction to Statistics For Data Science: Basic Terminologies Explained appeared first on Analytics Vidhya.

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AIaaS: What is it, who are the players, and what are the challenges?

Dataconomy

AIaaS stands for Artificial Intelligence as a Service, which refers to companies, cloud providers, and platforms that provide access to turnkey AI solutions. Like Software as a Service (SaaS), it helps you use AI in your business without developing them in-house. AIaaS gives smaller businesses access to artificial intelligence and.

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Divorce Rates and Income

FlowingData

Divorce rates are tied to job security, age, and occupation, so it should make sense that we see a pattern when we plot divorce rates against income. Read More.

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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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Crucial Benefits of Collecting and Analyzing Data for Modern Businesses

Smart Data Collective

The market for big data is expected to be worth $274 billion by next year. This is hardly surprising, since so many businesses depend on data analytics to draw useful insights on every aspect of their business model. Analytics is one of the most powerful tools that modern businesses possess. Any business that is ready to embrace data analytics will have access to a wealth of information on their industry, customer base, competitors and more.

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Convolutional Neural Networks (CNN)

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction In the past few decades, Deep Learning has. The post Convolutional Neural Networks (CNN) appeared first on Analytics Vidhya.

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Data Governance is a Crucial Part of Your Business Strategy

The Data Administration Newsletter

Since July 2018, over €274M in fines have been enforced by the EU General Data Protection Regulation. The lion’s share of these (more than €228M) are for “insufficient legal basis for data processing” and “insufficient technical and organizational measures to ensure information security,” which implies that the majority of offending organizations lack critical policy and infrastructure components to make […].

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See if you live in a political bubble

FlowingData

Gus Wezerek, Ryan D. Enos, and Jacob Brown for NYT Opinion use neighborhood-level data to show how those around you voted in the 2020 election. They ask: do you live in a political bubble? Enter an address to see. This is riffing off of NYT’s similarly-themed map from 2018, which asked the same question but answered more geographically. This newer version, as is the current way of doing things these days, is more bubbly and mobile-focused with the scroll format.

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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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Photography Trends Utilizing Data To Keep Your Social Content Fresh

Smart Data Collective

Big data and artificial intelligence have become incredibly useful in the field of photography. Photographers need to know how to leverage big data effectively. A number of new trends have emerged that involve the use of data. They can be useful for social media marketers that need fresh visual content. Big Data Becomes Integral for Social Media Marketers Relying on Photography.

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How to Perform One-Hot Encoding For Multi Categorical Variables

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. In this article, we will learn about how can we. The post How to Perform One-Hot Encoding For Multi Categorical Variables appeared first on Analytics Vidhya.

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Introducing PolicyLink’s Racial Equity Data Lab: A new resource to support data for justice

Tableau

Neal Myrick. Global Head of the Tableau Foundation. Kristin Adderson. May 6, 2021 - 5:49pm. May 6, 2021. Our partners at PolicyLink launched their National Equity Atlas in 2014. Developed with USC’s Equity Research Institute , the Atlas is one of the most powerful resources for data on racial inequities in the country. The platform contains data on a range of indicators, from demographics to economic vitality to connectedness, and provides analysis and examples of the data in action.

Tableau 101
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Bird song sonographs show distinct drawing patterns

FlowingData

These sonographs of bird song , in contrast to the sounds from traditional instruments, show complex patterns on a base frequency. Tags: bird song , sonograph.

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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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Big Data Creates Numerous New Perks in the Gig Economy

Smart Data Collective

Big data has played a huge role in the evolution of employment models. One of the biggest examples is with the growing gig economy. You probably have all the time in the world to reflect right now. Have you sat down and imagined a day where you do not have an office to report to, a boss to be bossed around by, and the freedom to work as per will? Well, all of this, which once existed only in films, or that’s what we thought, is now turning into reality as the world seems grimmer by the day

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Data Analytics vs Data Analysis, Are they similar?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. If you have a basic knowledge of tech, you must have. The post Data Analytics vs Data Analysis, Are they similar? appeared first on Analytics Vidhya.

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Planet of the Apps and Their SaaS-ification

Dataversity

Click to learn more about author Chris Lynch. As the CEO of a technology startup and a recovering venture capitalist, I’ve developed a love/hate relationship with technology during the last few decades. I had the incredible opportunity to be at the forefront of change and explosive growth in the early networking days, was present for […]. The post Planet of the Apps and Their SaaS-ification appeared first on DATAVERSITY.

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Varying demographics within the Asian American population

FlowingData

We often hear about the Asian American community as one big group of people, but go one level down and you see a lot of variance within the group. Nicole Chavez and Priya Krishnakumar, reporting for CNN, provide several demographic breakdowns to show the differences. Tags: Asian , CNN , demographics.

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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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Data Analytics Secrets to Optimizing Your Email Marketing Strategy?

Smart Data Collective

With most businesses investing more heavily data-driven, digital marketing strategies recent years, it’s important to stay ahead of your competitors. With a good email marketing strategy in place, you are likely to be more successful. Big data has become incredibly important for the future of email marketing. Why is it important to have a data-driven email marketing strategy?

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Machine Learning Model Evaluation

Analytics Vidhya

ArticleVideo Book What is Machine Learning? Machine Learning is a popular topic in Information Technology in the present day. Machine Learning allows our computer. The post Machine Learning Model Evaluation appeared first on Analytics Vidhya.

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How Contextual Data is Driving the Future of Telehealth

The Data Administration Newsletter

The expansion of big data applications has created opportunities across economic sectors. In healthcare, however, the potential of big data applications goes far beyond the financial. The contextual data gleaned from big data can drive healthcare solutions and accessibility to new heights. Contextual data means improved care. With it, healthcare professionals can spot patterns in […].

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Stephen Curry’s record-setting month for shooting threes

FlowingData

Steph Curry has been on a tear as of late. In April he made more threes than any NBA player ever has in a month. Ben Golliver and Artur Galocha for The Washington Post provide perspective on just how record-setting Curry’s current play is. I’d be lying if I said it wasn’t satisfying to see half of the comparisons show how Curry has played better than James Harden.

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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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7 Data Collection Tools Every Company Must Have

Smart Data Collective

Businesses need to use their knowledge and data effectively if they want to succeed. This involves collecting plenty of information to ensure your business can make changes and adjustments based on various trends. If you need help collecting and organizing your data, you should get these seven data collection tools to help your company. Landing Page Tools.

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Feature Transformations in Data Science: A Detailed Walkthrough

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Data preprocessing is one of the many crucial steps of. The post Feature Transformations in Data Science: A Detailed Walkthrough appeared first on Analytics Vidhya.

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Zen and the Art of Data Maintenance: Feeling is Information

The Data Administration Newsletter

In this age of data being a precious and valuable resource, what data would you say is most important? Many people talk of the value of intellectual property, customer profile data, financial data, competitive data, and other types of data being invaluable, sometimes even more important than company revenues! What about the data associated with […].

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The Metagame of Applying Machine Learning

Eugene Yan

How to go from knowing machine learning to applying it at work to drive impact.

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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.