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

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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

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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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Writing about probability in a way that people will understand

FlowingData

We see probabilities mentioned in the news, in weather forecasts, during sporting events, political arguments, business reports, elections, medical advice, and scientific findings. But probability is a tricky concept that not all (most?) people understand. Grace Huckins for The Open Notebook outlines useful ways to communicate the numbers more clearly — to increase the chances readers do understand.

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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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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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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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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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? 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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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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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

What is data science? Data science is analyzing and predicting data, It is an emerging field. Domain experts of all fields use it. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field.

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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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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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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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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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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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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 Data-Centric Revolution: Fighting Class Proliferation

The Data Administration Newsletter

One of the ideas we promote is elegance in the core data model in a Data-Centric enterprise. This is harder than it sounds. Look at most application-centric data models: you would think they would be simpler than the enterprise model, after all, they are a small subset of it. Yet we often find individual application […].

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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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Considerations for Ensuring High Availability of Applications and Data

Dataversity

Click to learn more about author Dave Bermingham. When you think about how best to ensure the high availability (HA) of your applications and data, you need to think about more than just the speed with which you can failover to a standby system if your database suddenly fails. Yes, you should be prepared for full failover […]. The post Considerations for Ensuring High Availability of Applications and Data appeared first on DATAVERSITY.

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Emojize Your Data Science Projects

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Our world is becoming more and more digital, especially after. The post Emojize Your Data Science Projects appeared first on Analytics Vidhya.

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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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Through the Looking Glass: Data Owners and Other Fallacies

The Data Administration Newsletter

I vividly remember reading this passage from Bob Seiner’s TDAN.com article “Things I Think I Think about Data Governance”, from August 1, 2015: If we were going to remove two words from the Data Governance vocabulary, I would choose the words “assign” and “owner. When someone is designated as the “owner” of data, that implies […].

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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.