Sat.Feb 20, 2021 - Fri.Feb 26, 2021

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ML Model Deployment with Webhosting frameworks

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction With the motivation of award-winning from Analytics Vidhya Blogathon3 continuing. The post ML Model Deployment with Webhosting frameworks appeared first on Analytics Vidhya.

ML 398
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Can artificial intelligence now influence human decision-making?

Dataconomy

Artificial intelligence has made many breakthroughs in the last decade, including beating champion players at Jeopardy!, learning to identify cats, seeing better than humans, and driving cars autonomously. A new study (PDF) by researchers from the Commonwealth Scientific and Industrial Research Organisation’s (CSIRO) Data61, along with the Australian National University.

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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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Feature Stores: A Hierarchy of Needs

Eugene Yan

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

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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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Climbing to the top: Why it’s time to reappraise your auction strategy

Dataconomy

Auction strategy has changed dramatically as artificial intelligence (AI), machine learning (ML), and advanced analytics inform strategies for the better. Or have they? Machines are taking over. Digital marketing is becoming dominated by real-time bidding environments, which are largely controlled by algorithms and platform technologies. Yet, these are becoming more.

More Trending

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How Startups Can Formulate Data-Driven Marketing Strategies Using AI

Smart Data Collective

We have talked a lot about the benefits of big data in marketing. The global marketing analytics market was worth $2.1 billion in 2019. This figure is expected to rise sharply in the future as more companies are likely to discover the benefits data-driven marketing affords. Understanding the Benefits of Data-Driven Marketing. You have launched your startup.

AI 101
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Introduction to Reinforcement Learning for Beginners

Analytics Vidhya

ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Reinforcement Learning, seems intriguing, right? Here in this article, we. The post Introduction to Reinforcement Learning for Beginners appeared first on Analytics Vidhya.

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January AI raises $8.8 million for AI that helps people manage their diabetes

Dataconomy

This article was originally published at VentureBeat and is reproduced with permission. January AI, a startup developing a platform that predicts diabetic patients’ responses to certain foods, today announced that it raised $8.8 million. Notable investors in the round included Salesforce CEO Marc Benioff, YouTube cofounder Steve Chen, and former.

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Reflecting on a decade of data science and the future of visualization tools

Tableau

Ana Crisan. Sr. Research Scientist, Tableau. Kristin Adderson. February 24, 2021 - 6:55pm. February 24, 2021. Editor's note: This article originally appeared in the Tableau Engineering Blog. Data science has exploded over the past decade, changing the way that we conduct business and prepare the next generation of young people for the jobs of the future.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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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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Machine Learning 101: Decision Tree Algorithm for Classification

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Overview Learn about the decision tree algorithm in machine learning, The post Machine Learning 101: Decision Tree Algorithm for Classification appeared first on Analytics Vidhya.

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15 DevOps Trends to Watch for in 2021

Dataversity

Click to learn more about author Nicholas Winston. DevOps is the popular technology of software development sought by the IT community globally. And now, rather than just being about dev and ops, it is expected to add more value in delivering new features and products and taking away limitations between a business and its customers. […]. The post 15 DevOps Trends to Watch for in 2021 appeared first on DATAVERSITY.

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New efforts elevate intersectional diversity in the Tableau Community

Tableau

Andrew Grinaker. Senior Manager, Community Programs & Engagement at Tableau. Kristin Adderson. February 23, 2021 - 9:49pm. February 23, 2021. Data is a powerful tool to reveal insights, ignite conversations, and drive change—whether you’re looking to solve business problems or address injustices in your community. Last year, Tableau launched the Racial Justice Data Initiative (RJDI), committing to a new three-year, $12 million expansion of equity work done by the Tableau Foundation and its netwo

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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5 Reasons Data-Driven Startups Should Be Using React JS

Smart Data Collective

Data-driven businesses are finding a number of great strategies that have proven to be remarkably effective. There are a number of tools that use big data to help them improve their business models. A lightweight but powerful, data-driven tool for creating user interfaces, React JS is an open-source JavaScript library originally developed by an employee at Facebook.

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Quick Notes on the Basics of Python and the NumPy Library

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. “Champions are brilliant at the. The post Quick Notes on the Basics of Python and the NumPy Library appeared first on Analytics Vidhya.

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It’s Time for All Employees to Take the “Personal Privacy Pledge”

Dataversity

Click to learn more about author Rajesh Ganesan. Contrary to popular belief, data privacy is not the responsibility of corporations. Sure, corporations are on the hook should there be a breach and an organization is found to be in violation of data privacy laws; however, everyone plays a part. It is not possible to outsource […]. The post It’s Time for All Employees to Take the “Personal Privacy Pledge” appeared first on DATAVERSITY.

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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

Tableau 52
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Five Proven Lead Generation Strategies to Merge with Data Analytics

Smart Data Collective

Data analytics is very important to the future of marketing. A growing number of marketers are using data analytics technology to optimize their lead generation models. One of the most important benefits of using data analytics is that it can improve AI algorithms. This is important, since AI is integral to modern lead generation. But what lead generation strategies can you use in conjunction with your data analytics tools.

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A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional

Analytics Vidhya

ArticleVideo Book Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional appeared first on Analytics Vidhya.

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Tapping the Value of Unstructured Data: Challenges and Tools to Help Navigate

Dataversity

Click to learn more about author Daniel Martin. The amount of data generated in the digital world is increasing by the minute! This massive amount of data is termed “big data.” We may classify the data as structured, unstructured, or semi-structured. Data that is structured or semi-structured is relatively easy to store, process, and analyze. […].

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Stephanie Lampkin on Leveraging Algorithmic Justice to Decrease Hiring Bias: More Intelligent Tomorrow, Episode #24

DataRobot

Stephanie Lampkin has dedicated her career to addressing the important issue of bias and fairness and embedding the core values of fairness and equity in corporate America. Stephanie, Founder and CEO of Blendoor , recently joined Ben Taylor, Chief AI Evangelist at DataRobot , on the DataRobot More Intelligent Tomorrow podcast and explained the importance of removing an applicant’s identity during the hiring process: “There were actually orchestras who did this years ago.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Big Data Platforms Assist with Spreading Health and Safety Awareness

Smart Data Collective

We have talked extensively about the multitude of benefits that big data provides to companies in every sector. While most of our discussions focus around the financial benefits of data technology to these organizations, there are some more holistic advantages as well. One reason to invest in big data technology is to help educate the populace and key decisionmakers about health and safety practices.

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How to Split a Decision Tree – The Pursuit to Achieve Pure Nodes

Analytics Vidhya

ArticleVideo Book Introduction Decision Trees are probably one of the common machine learning algorithms and this is something every Data Science beginner should know. The post How to Split a Decision Tree – The Pursuit to Achieve Pure Nodes appeared first on Analytics Vidhya.

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What Are Simple Random Sampling and Stratified Random Sampling Analytical Techniques?

Dataversity

Click to learn more about author Kartik Patel. This article discusses the analytical technique known as sampling and provides a brief explanation of two types of sampling analysis and how each of these methods is applied. What Is Sampling Analysis? Sampling is the technique of selecting a representative part of a population for the purpose of […].

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Reflecting on a decade of data science and the future of visualization tools

Tableau

Ana Crisan. Sr. Research Scientist, Tableau. Kristin Adderson. February 24, 2021 - 6:55pm. February 24, 2021. Editor's note: This article originally appeared in the Tableau Engineering Blog. Data science has exploded over the past decade, changing the way that we conduct business and prepare the next generation of young people for the jobs of the future.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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5 Reasons Hospitals Need to Invest in Data Security

Smart Data Collective

Hospitals and healthcare facilities around the world hold highly sensitive information about their patients. Living in a digital age where cybersecurity threats continue to evolve, it’s understandable that there are huge concerns about healthcare data security. What’s more, these data breaches and malware attacks can compromise patient health records, with personal information being sold on the dark web.

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The Exciting Future Potential of Machine Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Machine Learning works on the principles of computer algorithms. The post The Exciting Future Potential of Machine Learning appeared first on Analytics Vidhya.

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An Introduction to Integrated Deployment

Dataversity

Click to learn more about author Paolo Tamagnini. Welcome our integrated deployment blog series, where we focus on solving the challenges around productionizing Data Science. Topics will include: Resolving the challenges of deploying models Building guided analytics applications that create not only a model but a complete model process, using our component approach to AutoML […].

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Bringing AI predictions to Tableau with Einstein Discovery

Tableau

Bobby Brill. Product Management Director, Tableau CRM. Spencer Czapiewski. February 23, 2021 - 3:55am. March 23, 2021. With the upcoming Tableau 2021.1 release, we’re delivering the first integration of Salesforce’s artificial intelligence (AI) and machine learning (ML) capabilities in Tableau. This introduces an exciting new class of AI-powered analytics: Tableau Business Science.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.