Sat.Jun 19, 2021 - Fri.Jun 25, 2021

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Building a Convolutional Neural Network Using TensorFlow – Keras

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article aims to explain Convolutional Neural Network and how. The post Building a Convolutional Neural Network Using TensorFlow – Keras appeared first on Analytics Vidhya.

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The Future of the Chief Data Officer Role

Dataconomy

What’s next for the Chief Data Officer role? How can CDOs navigate disruption, bring business value to their organizations, and, ultimately, get an invitation to the board of directors?

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India vaccine procurement compared to other countries

FlowingData

Prasanta Kumar Dutta and Manas Mishra reporting for Reuters on the slow rollout of Covid-19 vaccinations in India : Compared to many Western countries, India was late in procuring vaccines. Modi’s government placed the first advance order for an unapproved vaccine only this month, after being criticised for being slow. Countries including the United States and Britain signed orders last year.

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What Data Metrics Should Be Incorporated Into a Marketing Dashboard?

Smart Data Collective

Big data has been incredibly important in the marketing profession. Marketers need to rely heavily on big data technology to reach customers more effectively. Big data technology isn’t just important for making better insights. Those insights need to be presented in a format that is easy to conceptualize. Visual marketing dashboards are prime examples of using big data effectively in marketing.

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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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Exploring Mito: Automatic Python Code for SpreadSheet Operations

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Spreadsheets or Excel is the foremost and most adaptive way. The post Exploring Mito: Automatic Python Code for SpreadSheet Operations appeared first on Analytics Vidhya.

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Calling All Coders: Bridging the Blockchain Talent Gap

Dataconomy

Last week, Dataconomy’s Stewart Rogers served as master of ceremonies for a CogX Open Web Forum panel (curated by Fabric Ventures) I participated in along with Muneeb Ali (Stacks) and Josh Tobkin (Supra-Oracles). We were grappling with the question of how we inspire best-in-breed technical stars to join Open Web.

More Trending

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How to Protect Your Small Business from Cyberattacks with Data Analytics

Smart Data Collective

Data analytics has dramatically upended our lives. Most of the changes have been largely positive. One of the biggest implications of data analytics technology in the 21st Century is that it has led to a number of new cybersecurity solutions. There is actually an entire field known as cybersecurity analytics , which as its name implies, uses data analytics technology to create more robust cybersecurity solutions.

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Traversing the Trinity of Statistical Inference Part 2: Confidence Intervals

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This is the second article of the series on ‘Traversing. The post Traversing the Trinity of Statistical Inference Part 2: Confidence Intervals appeared first on Analytics Vidhya.

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Uncommon machine learning examples that challenge what you know

Dataconomy

Machine learning (ML) is how a system learns and adapts its processes from the patterns found in large amounts of data. When we think of machine learning, some prominent examples come to mind. For instance, the way product recommendations on Amazon are eerily similar to Google searches you’ve done. The.

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All the matches from Euro 2020 in one chart

FlowingData

To see all the matches from the group stage of Euro 2020 in one chart, Krist Wongsuphasawat used a streamgraph showing aggregate scorelines from kickoff to finish. All matches start at 0-0, and the team that scores first, colored in blue, almost always wins. The percentage of comeback wins surprises me, as someone who knows almost nothing about soccer.

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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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6 Ways Augmented Reality Is Changing These 6 Industries

Smart Data Collective

Technology is moving at such a fast rate that everyone—including the business sector—is trying to keep up. There’s no doubt in how technology has improved almost all business processes, and one development that’s taking off is augmented reality. Augmented reality (AR) uses real-time computer-generated images in the surroundings of the viewer. So as a user, you can perceive the augmented objects which are a part of the real world to give you an interactive and enhanced experience of the visible w

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Running Pandas on GPU, Taking It To The Moon??

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Pandas library comes in handy while performing data-related operations. Everyone starting. The post Running Pandas on GPU, Taking It To The Moon?? appeared first on Analytics Vidhya.

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TinyML: What Is It and How Will It Change Machine Learning Best Practices?

Dataconomy

There’s been an ongoing trend of people wanting increasingly capable and smaller tech devices. Those desires have spurred progress in a segment of artificial intelligence (AI) called TinyML. Here’s a look at how it could enhance future possibilities. What Is TinyML? It’s already widely known that processing data directly on.

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? Visualization Tools and Resources, June 2021 Roundup

FlowingData

Here’s the good stuff for June 2021. Become a member for access to this — plus tutorials, courses, and guides.

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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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Huge Benefits Data Scalability Can Create for Your Business

Smart Data Collective

We recently pointed out that effective data management is the key to running a successful organization. You should recognize that big data is an asset that shouldn’t be discounted. The Merits of Big Data in Organizational Management. While you will always need to rely on intuition to some extent when it comes to your business, having some numbers to back up your decisions can be beneficial in a number of different ways.

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How to Load Kaggle Datasets Directly into Google Colab?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Almost every data science aspirant uses Kaggle. It houses datasets. The post How to Load Kaggle Datasets Directly into Google Colab? appeared first on Analytics Vidhya.

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How the power of predictive analytics can transform business

Tableau

Forbes BrandVoice. Kristin Adderson. June 22, 2021 - 11:14pm. June 22, 2021. Editor's note: This article originally appeared in Forbes , by Olivia Nix, Senior Manager Product Marketing, Tableau. With the acceleration of digital transformation in business, most CTOs, CIOs, and even middle management or analysts are now asking, "What's next with data?

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Delaying motherhood

FlowingData

The New York Times mapped birth rates , which are down almost everywhere, especially among women in their 20s: The result has been the slowest growth of the American population since the 1930s , and a profound change in American motherhood. Women under 30 have become much less likely to have children. Since 2007, the birthrate for women in their 20s has fallen by 28 percent, and the biggest recent declines have been among unmarried women.

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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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Every Business Needs an Analytics-Driven Content Marketing Strategy

Smart Data Collective

Analytics plays an invaluable role in modern marketing. We have talked extensively about the value of using data for marketing strategies in all industries. Analytics can be particularly useful for content marketing. Many marketers are stuck in 2008, when data analytics didn’t have a place in digital marketing strategies. This has changed dramatically in recent years, as data analytics has become increasingly vital to the future of content marketing.

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Support Vector Machine: Introduction

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, we will be discussing Support Vector Machines. The post Support Vector Machine: Introduction appeared first on Analytics Vidhya.

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How to Plan a Threat Hunt: Using Log Analytics to Manage Data in Depth

Dataversity

Click to learn more about author Thomas Hazel. Security analysts have long been challenged to keep up with growing volumes of increasingly sophisticated cyberattacks, but their struggles have recently grown more acute. Only 46% of security operations leaders are satisfied with their team’s ability to detect threats, and 82% of decision-makers report that their responses to threats […].

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Scoring hospitals by billing quality

FlowingData

Using data collected by Johns Hopkins University, Michelle McGhee and Will Chase for Axios provide a visual reference for the billing practices of for-profit hospitals : Rising deductibles and out-of-pocket costs are increasingly leaving patients responsible for bloated medical bills. A new analysis by Johns Hopkins University reveals that many of the top 100 hospitals by revenue in the U.S. use predatory tactics to pursue patients with unpaid bills.

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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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How analytics is helping to accelerate, inspire, and connect with data—from racial equity to business transformation

Tableau

Jay Peir. Executive VP, Corporate Development and Strategy. Kristin Adderson. June 25, 2021 - 10:29pm. June 28, 2021. Nearly 10 years ago I joined Tableau because I believed deeply in our mission to help people see and understand data. Since then, and over the last 18 months in particular, I’ve seen time and time again the transformational power of data.

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How to Build a Data Warehouse Using PostgreSQL in Python?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Data warehouse generalizes and mingles data in multidimensional space. The. The post How to Build a Data Warehouse Using PostgreSQL in Python? appeared first on Analytics Vidhya.

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The Third Pillar of Trusted AI: Ethics

Dataversity

Click to learn more about author Scott Reed. Building an accurate, fast, and performant model founded upon strong Data Quality standards is no easy task. Taking the model into production with governance workflows and monitoring for sustainability is even more challenging. Finally, ensuring the model is explainable, transparent, and fair based on your organization’s ethics […].

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Importance of Both AI or VPN Technology in the Future of Privacy

Smart Data Collective

Privacy concerns have been a huge issue for most people. A poll from Pew Research showed that around 81% of Americans felt that the risks of companies collecting data on them outweigh the benefits and 66% said the same about the government. There is no getting around the growing concerns of data privacy. People deal with several problems in the current age of technology, some of which are complex by nature.

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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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Passing restrictive voting bills

FlowingData

Bloomberg used a Sankey diagram to show the path of over a thousand voting bills, classifying them as restrictive, mixed effect, or expansive : Across the country, Republican state lawmakers proposed more than 300 bills this year to restrict voting and dozens more that would restrict in some ways and expand in others. But the broadest measures either stalled or were scaled back.

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Plotly and cufflinks : Advanced Python Data Visualization Libraries

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Data Visualization helps to bridge the gap between numbers and. The post Plotly and cufflinks : Advanced Python Data Visualization Libraries appeared first on Analytics Vidhya.

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The Second Pillar of Data Culture: Data Literacy

Alation

Of the three pillars of data culture, data literacy is the most challenging to achieve, since it requires broad up-skilling across the organization and, sometimes, fighting human nature itself. As decision science author and Cornell professor J. Edward Russo once said, “the first thing most people will do when given access to tools and data is selectively filter information to prove previously established conclusions.

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5 Best Workspaces for Data Scientists with their Own Businesses

Smart Data Collective

Data scientists have much greater job security than most other professions. They are discovering that countless organizations are interested in hiring experienced programmers that can create big data applications. However, data scientists also face difficult workloads and other challenges. Many of data programmers are expected to work remotely. However, this can be hard for those that do not like this environment.

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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!