February, 2021

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Basics of Natural Language Processing(NLP) for Absolute Beginners

Analytics Vidhya

ArticleVideo Book Introduction According to industry estimates, only 21% of the available data is present in a structured form. Data is being generated as. The post Basics of Natural Language Processing(NLP) for Absolute Beginners appeared first on Analytics Vidhya.

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How You Can Expedite Your Venture With machine learning

Dataconomy

Machine learning (ML) is a definite branch of artificial intelligence (AI) that brings together significant insights to solve complex and data-rich business problems by means of algorithms. ML understands the past data that is usually in a raw form to envisage the future outcome. It is gaining more and more.

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Arranging Invisible Icons in Quadratic Time

Hacker News

Near the end of January I was pointed to a twitter thread where a Windows user with a powerful machine was hitting random hangs in explorer. Lots of unscientific theories were being proposed. I don’t generally do random analysis of strangers’ performance problems but the case sounded interesting so I thought I’d take a look. Freya shared an ETW trace of what was happening on her machine and I took a look using Windows Performance Analyzer (WPA).

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Technologies that Could See Significant Growth

The Data Administration Newsletter

With the new year events well behind us, we’re steadily focused on moving forward in 2021. While we have seen a change in the calendar year, one initiative that continues to be a top priority for businesses is storing, managing, accessing and optimizing corporate data. Given that, let’s consider what I believe will be some […].

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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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6 Big Data Mistakes You Must Avoid At All Costs

Smart Data Collective

Marketers around the world are embracing data-driven marketing to drive better results from their campaigns. However, while doing so, you need to work with a lot of data and this could lead to some big data mistakes. But why use data-driven marketing in the first place? When you collect data about your audience and campaigns, you’ll be better placed to understand what works for them and what doesn’t.

Big Data 142
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How to Write Better with The Why, What, How Framework

Eugene Yan

Three documents I write (one-pager, design doc, after-action review) and how I structure them.

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How to build better CX with human-intelligence-powered AI chatbots

Dataconomy

Whether your current experience with chatbots allows you to believe me or not, better customer experiences are possible with human-intelligence-powered AI chatbots. Research by Gartner indicates that within a few years from now, 89% of businesses will compete mostly on customer experience versus 36% four years ago. That means that.

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Introducing the 2021 Tableau Zen Masters

Tableau

Andrew Grinaker. Senior Manager, Community Programs & Engagement at Tableau. Kristin Adderson. February 25, 2021 - 3:53pm. February 25, 2021. It’s our privilege to announce the 2021 Tableau Zen Masters. We’ve selected 14 new community leaders who represent the tenets of the Zen program: teacher, master, and collaborator. Following a decision to invite all 2020 Zen Masters to return for another year as we addressed the needs of our community, these new leaders join the existing 29 for Tableau’s l

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How AI Helps Banks Identify Cross-Selling and Upselling Opportunities

DataRobot

Banks regularly create campaigns to offer new products to their customers. According to market research, it’s easier to sell a product to an existing customer than to sell a product to a new, qualified prospect. In today’s marketplace, banks provide a variety of deposit, lending, and investment products to individuals and businesses, but a good proportion of current customers might only use one or two of them.

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7 Ways Small Businesses Use Data Analytics for Expense Tracking

Smart Data Collective

Companies are discovering the countless benefits of using big data as they strive to keep their operations lean. Big data technology has made it a lot easier to maintain a decent profit margin as they try to keep their heads above water during a horrific economic downturn. One of the most important benefits of using big data is with expense tracking.

Analytics 141
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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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Feature Stores: A Hierarchy of Needs

Eugene Yan

Access, serving, integrity, convenience, autopilot; use what you need.

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Introduction to Machine Learning for Absolute Beginners

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Machine learning.Sounds cool right? When I see those two words, The post Introduction to Machine Learning for Absolute Beginners appeared first on Analytics Vidhya.

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A new workshop shows how data science can be for decision-makers too

Dataconomy

When we think of data science, we rarely think beyond those people with the technical ability, knowledge, training, and qualifications necessary for the job. But decision makers need to be involved in data science too. Whether you need to understand data science, know how to approach solution providers, or be.

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Analytics extensions are now available in Tableau Online

Tableau

Nathan Mannheimer. Product Manager, Tableau. Kristin Adderson. February 1, 2021 - 6:58pm. February 1, 2021. First thing’s first: I am thrilled to announce that Tableau’s analytics extensions are now available in Tableau Online! Starting with R integration in Tableau 8.3, analytics extensions have allowed Tableau users to dynamically bring sophisticated analysis and integrations into their visualizations.

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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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Alation 2021.1: Getting users to the data they need, faster

Alation

In the newest release, Alation 2021.1, Alation takes big steps to further accelerate onboarding and adoption, expanding the catalog to welcome more classes of users, and lowering their barrier to entry with more organized information. In 2021.1, Alation increases search relevancy with data domains, adds new data governance capabilities, and speeds up time-to-insight with an Open Connector Framework SDK.

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Big Data Analytics Has Potential to Massively Disrupt the Stock Market

Smart Data Collective

Big data is changing the nature of the financial industry in countless ways. The market for data analytics in the banking industry alone is expected to be worth $5.4 billion by 2026. However, the impact of big data on the stock market is likely to be even greater. Automated trading software is fast changing the approach a lot of individuals take to investing.

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How to Win a Data Hackathon (Hacklytics 2021)

Eugene Yan

What the top teams did to win the 36-hour data hackathon. No, not machine learning.

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A Beginner’s Guide To Seaborn: The Simplest Way to Learn

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction A step-by-step guide to getting started with Seaborn! If matplotlib. The post A Beginner’s Guide To Seaborn: The Simplest Way to Learn appeared first on Analytics Vidhya.

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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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Data science certifications that can give you an edge

Dataconomy

Data science is one of the hottest jobs in IT and one of the best paid too. And while it is essential to have the right academic background, it can also be crucial to back those up with the proper certifications. Certifications are a great way to give you an.

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Announcing the Tableau Community Hub—A new home to inspire and elevate your data journey

Tableau

Stephanie Richardson. Vice President, Tableau Community. Kristin Adderson. February 2, 2021 - 2:55am. February 4, 2021. To the Tableau Community, I’m coming up on the one year mark of moving into the amazing role of leading the Community team at Tableau, and there is one thing I know now more than ever: the Tableau Community is special. It’s unlike anything else I’ve seen, and that’s because of all of you. .

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How Synthetic Data Powers Real-World AI Applications

Dataversity

Click to learn more about author Ashok Sharma. Machine learning (ML) algorithms are everywhere these days. AI applications aren’t something that will be present in the future. They’re already here and have begun making an impact on our lives. AI usage is currently in an embryonic stage and faces significant challenges. The biggest challenge surrounds the […].

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Big Data and the Use of Satellite Imagery

Smart Data Collective

The scope of satellite big data applications has dramatically increased lately. Satellite companies offer commercial high-resolution images, and computer companies provide mighty cloud facilities to process them. Basically, while one company retrieves images, the other one ensures their computing. Spatial data helps almost in any niche of human activities.

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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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DataTalksClub - Building an ML System; Behind the Scenes

Eugene Yan

Design and architecture, tech stack, methodology, results, and lessons learned.

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Key Python Packages for Data Science

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Hi! Young Data Science enthusiast, Let’s understand key packages for. The post Key Python Packages for Data Science appeared first on Analytics Vidhya.

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Overcoming 7 AI Challenges in 2021

Dataconomy

AI has become an indispensable resource for many businesses in 2020 amid the challenges of COVID-19. Despite economic stress, 61% of high-performing companies invested more in AI in 2020. As recovery from pandemic losses gets underway, more may turn to AI to strengthen their digital transformation. Increased investments in AI.

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Building toward equity and justice on the new Racial Equity Data Hub

Tableau

Channing Nesbitt. Co-lead of Tableau Foundation’s Racial Justice Data Initiative. Kristin Adderson. February 15, 2021 - 9:16pm. February 16, 2021. Data is a critical tool in the fight against racism and for justice and equity in cities, towns, and rural communities across the United States. It is a societal problem, one that every individual and institution has a role to play in dismantling.

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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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The Most Important Cybersecurity Trends to Watch This Year

Dataversity

Click to learn more about author Jackson Shaw. With the global COVID-19 pandemic altering the way enterprise organizations do business and their employees work, it’s been a particularly challenging year for IT professionals. In addition to the complexities of migrating entire organizations to working remotely, it’s also their responsibility to ensure the new tools employees […].

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Data Analytics Helps Beginning Forex Traders But Doesn’t Replace Common Sense

Smart Data Collective

Data analytics has made forex trading easier than ever. Unfortunately, some traders are reluctant to take advantage of these opportunities, because they don’t know how to use new data analytics tools to their advantage. The good news is that there are a lot of great ways to use new AI technology if you plan properly. You just need to educate yourself about the benefits of this technology and its role in forex trading.

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Running Code and Failing Models

DataRobot

Machine learning is a glass cannon. When used correctly, it can be a truly transformative technology, but just a small oversight can cause it to become misleading and even actively harmful. Even if all the code runs and the model seems to be spitting out reasonable answers, it’s possible for a model to encode fundamental data science mistakes that invalidate its results.

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6 Open Source Data Science Projects That Provide an Edge to Your Portfolio

Analytics Vidhya

ArticleVideos Introduction “I understand the concepts well. Why should I focus on data science projects in my data science journey?” I have been in. The post 6 Open Source Data Science Projects That Provide an Edge to Your Portfolio appeared first on Analytics Vidhya.

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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!