Sat.May 29, 2021 - Fri.Jun 04, 2021

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4 Use Cases All Data Scientist Should Learn

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Illustrations of how to address traditional machine learning algorithm queries. Index. The post 4 Use Cases All Data Scientist Should Learn appeared first on Analytics Vidhya.

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? Visualization Books for a Beginner – The Process 142

FlowingData

Welcome to issue #142 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 the books I’d recommend (and not recommend) to beginners who want to learn how to visualize data. Become a member for access to this — plus tutorials, courses, and guides.

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The Impact of Digital AI Advances on The New Workplace

Smart Data Collective

Artificial intelligence is the pillar of the new digital technology landscape. Since a growing number of companies are relying on digital technology for a variety of purposes, the impact this will have will be significant. There are a number of indicators that AI is going to be even more important in the near future. The role of the pandemic on the modern workplace cannot be overstated.

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Why tell stories with data visualisations?

Applied Data Science

“All happy families are alike; each unhappy family is unhappy in its own way.” From the very first sentence of Anna Karenina, Tolstoy gives us a universal truth about success. You can fail in many ways, but there’s only one way in which you can succeed. Successes share a similar set of qualities, as it is only by satisfying these qualities that our works can be perceived as successful by the world.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Automated Machine Learning for Supervised Learning (Part 1)

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon This. The post Automated Machine Learning for Supervised Learning (Part 1) appeared first on Analytics Vidhya.

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Where chess pieces are most often captured

FlowingData

Reddit user desfirsit made heatmaps to show where on the chess board pieces are usually captured. The top two rows are for black pieces, and the bottom row is for white pieces. I’m no chess player, but this seems to look right? The frequency of captures appears to agree with movement patterns. Although I’m surprised that the queen, despite having the most freedom of movement, is often captured in the same place.

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Towards Data Science - Author Spotlight with Eugene Yan

Eugene Yan

My favourite project, how I write weekly and how you can start, and content I would like to see more of.

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Develop your first Deep Learning Model in Python with Keras

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction An artificial Neural Network is a sub-field of Artificial Intelligence. The post Develop your first Deep Learning Model in Python with Keras appeared first on Analytics Vidhya.

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Colors of Bob Ross explored

FlowingData

Connor Rothschild charted all the colors Bob Ross used in The Joy of Painting : Most commonly, paintings have 12 colors. Of the 403 pieces in The Joy of Painting , 100 used 12 colors. The peak is concentrated around 12, meaning most of Ross’ paintings used somewhere in the range of 7-13 colors; very rarely did they venture outside of that range.

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How Should Data Drive Your Email Marketing Strategy In 2021?

Smart Data Collective

A data-driven email marketing strategy is paramount for businesses to survive in such a competitive landscape. After all, all this information helps you drive sales and ensure that you are targeting the right products/services to the right people. Surveys have shown that 73% of marketing professionals believe email marketing is essential to their organization’s success.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

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Viz what you love for Iron Viz 2021

Tableau

Andrew Grinaker. Senior Manager, Community Programs & Engagement at Tableau. Ateken Abla. June 1, 2021 - 10:49pm. June 2, 2021. The ultimate data showdown is back. Data rockstars (like you!) from around the world compete in our annual Iron Viz competition for a chance to secure their place in #DataFam history. It's an opportunity to challenge yourself, learn something new, and engage with an incredible community.

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Will MLOps change the future of the healthcare system?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview: From the advent of modern Science & Technology, Researchers are. The post Will MLOps change the future of the healthcare system? appeared first on Analytics Vidhya.

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Recreation of the neighborhood in the Tulsa race massacre

FlowingData

In 1921, hundreds were killed. The New York Times recreated the neighborhood , adding weight to what happened and showing the loss a hundred years ago: For decades, what happened in Greenwood was willfully buried in history. Piecing together archival maps and photographs, with guidance from historians, The New York Times constructed a 3D model of the Greenwood neighborhood as it was before the destruction.

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4 Great Programs Businesses Can Use to Get Accurate Data Results

Smart Data Collective

In 2016 experts projected that the “ big data ” industry would be worth somewhere around $30 billion by 2022. Based on last year’s data, that number has grown to $275 billion, and some experts expect it to be even higher after increases in computer usage and ecommerce due to the COVID pandemic forcing many companies to go remote and many consumers to do their shopping online, where data is collected for every purchase from pizza to a streaming movie.

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How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

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Best of Tableau Web: May 2021

Tableau

Mark Bradbourne. National Solutions Engineer, Tableau . Kristin Adderson. June 5, 2021 - 12:10am. June 5, 2021. Welcome to our monthly highlight of data viz tips, tricks and inspiration produced by the Tableau Community. Let’s talk about gratitude for a moment. . Avinash Reddy Munnangi recently wrote a blog post on 10 Reasons Why You Need a Tableau Public Profile , and it’s spot on!

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A complete guide to doing Geospatial Analytics

Analytics Vidhya

ArticleVideo Book Introduction Today our phones resemble a genie’s lamp, a powerful wish-granting device at your fingertips! It can bring us anything and take. The post A complete guide to doing Geospatial Analytics appeared first on Analytics Vidhya.

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Seeing how devices talk to each other

FlowingData

Your computer connects to your router, which connects to your modem. Your printer connects to your computer. The devices all send data and talk to each other. Nicole He and Eran Hilleli imagined these conversations in augmented reality : The application would first detect all of the different devices connected to your network; this would include the more obvious ones like computers or phones, as well as other things, like TVs, speakers, game consoles, vacuums or washing machines.

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The Evolving Role of Analytics in Strategic Financial Management

Smart Data Collective

Analytics technology is becoming integral to the field of finance. The market for financial analytics services is projected to be worth over $11 billion within the next five years. Analytics is particularly important for developing strategic financial management policies. Strategic Financial Management or strategic finance is a process to help a company’s finances.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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How to create a data leadership committee and get everyone on the same page

Tableau

Forbes BrandVoice. Kristin Adderson. June 3, 2021 - 4:35pm. June 2, 2021. Editor's note: This article originally appeared in Forbes. Before we get started, why do I even need one? It’s now rare to find an executive who doesn't want their organization to be more data driven. Becoming a data-leading company requires not only data and analytics but also a data culture—a way of working that puts data at the heart of every decision.

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Integration of Python with Hadoop and Spark

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Big data is the collection of data that is vast. The post Integration of Python with Hadoop and Spark appeared first on Analytics Vidhya.

Hadoop 367
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Myth of the Asian American model minority, explained with charts

FlowingData

Asian Americans are often viewed as a “model minority”, but when you look, just a little bit closer, the tag doesn’t fit. Connie Hanzhang Jin for NPR breaks it down in a set of six charts. Tags: Asian , Connie Jin , model minority , NPR.

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Machine Learning Transforms Life Insurance Beyond the Actuarial Process

Smart Data Collective

Many different industries are becoming more reliant on machine learning. The insurance industry is among those that has found new opportunities to take advantage of machine learning technology. Life insurance companies in particular are discovering the wondrous opportunities that AI provides, since this sector faces some unique challenges relative to other insurance offerings.

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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First Rule of Data Storytelling

The Data Administration Newsletter

Bedtime stories are as good as the problem they solve, every child will tell you that. Our children’s capacity to distinguish a good story from a bad one is not learned, but hardwired from birth. Storytellers and parents know this very well. It is just natural: humans have been telling stories for thousands of years, […].

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How to Learn Mathematics For Machine Learning? What Concepts do You Need to Master in Data Science?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Are you an aspiring data scientist who is fascinated by how. The post How to Learn Mathematics For Machine Learning? What Concepts do You Need to Master in Data Science? appeared first on Analytics Vidhya.

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Ilan Gleiser: Predicting a World where Data and Technology Solve Economic Inequality

DataRobot

Will the future be a dystopia? A utopia? Or maybe a… protopia? . Those are among the fascinating topics I recently discussed with Ilan Gleiser. Gleiser is founder and CEO of Synarchy AI , where he works with businesses to help them benefit from machine learning and natural-language processing (NLP) to drive economic value, automate processes, and generate insights.

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When Big Data Meets Big Law – the Role of Data in Legal Services

Smart Data Collective

Many industries are starting to realize the true benefits they can get from analyzing and visualizing the many amounts of data is designed today. More and more conventional industries are starting to look into this direction: big data. One of these industries is the legal industry , with all legal companies and law firms included. There are some questions that legal advisors have: are there any real benefits of big data for law companies ?

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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Is Artificial Intelligence a Problem or an Opportunity?

The Data Administration Newsletter

Artificial Intelligence (AI) seems to have reached its peak, and yet it is still growing and reaching even the most remote parts of the world. There are countless benefits to this technology, including life-saving tools and systems that function with automated AI algorithms. However, some people are skeptical about the widespread and free use of […].

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Acrobot with Deep Q-Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview Introduction to a classic Reinforcement Learning problem, Acrobot RL concepts. The post Acrobot with Deep Q-Learning appeared first on Analytics Vidhya.

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Dear Laura: Should We Hire Full-Time Data Stewards?

Dataversity

Click to learn more about author Laura Madsen. Welcome to the Dear Laura blog series! As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. I’ll be sharing these questions and answers via this DATAVERSITY® series. Last year I wrote […]. The post Dear Laura: Should We Hire Full-Time Data Stewards?

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Announcing Data Natives x VentureBeat – two AI powerhouse events in one

Dataconomy

You may already know about our Data Natives event. Last year, Europe’s biggest data science, AI, and machine learning conference brought over 5,000 attendees together to enjoy more than 150 speakers in 2020. And you may also know that VentureBeat is one of the world’s most famous tech publications. VentureBeat helps break the news.

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Apache Airflow® Best Practices: 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!