Sat.Jul 10, 2021 - Fri.Jul 16, 2021

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Python on Frontend: ML Models Web Interface With Brython

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Machine learning is a fascinating field and everyone wants to. The post Python on Frontend: ML Models Web Interface With Brython appeared first on Analytics Vidhya.

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DATA NATIVES X VENTUREBEAT TRANSFORM – MORE SPEAKERS, AND OUR AMAZING PARTNERS

Dataconomy

It’s almost time to bring Data Natives x VentureBeat Transform to life. As part of VB’s week-long flagship AI conference, Data Natives is hosting half a day of amazing, educational content this Friday.

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New data viz brings fans closer to Team USA

Tableau

Jackie Yeaney. EVP of Marketing, Tableau. Kristin Adderson. July 10, 2021 - 8:16pm. July 23, 2021. Meet Team USA. Over the next few weeks, 800-plus members of Team USA will converge in Tokyo to pursue their long-awaited Olympic and Paralympic dreams. These exceptional athletes will be competing in 339 medal events in 41 sports, including 22 Paralympic events, to be held in dozens of venues throughout Tokyo and surrounding regions.

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? Analyzing Data, General to More Specific – The Process 148

FlowingData

Welcome to issue #148 of The Process , the newsletter for FlowingData members about how the charts get made. I’m Nathan Yau, and this week I’m remembering to start an analysis with the basics — to get over the initial hump — and then generate questions towards more specific answers. Become a member for access to this — plus tutorials, courses, and guides.

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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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Understanding Natural Language Processing -A Beginner’s Guide

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: Source: [link] Language is very important when we want to. The post Understanding Natural Language Processing -A Beginner’s Guide appeared first on Analytics Vidhya.

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Understanding the Nature and Evolution of Security Analytics

Smart Data Collective

Security analysis is a method used in cybersecurity to help boost security protocols for data protection. Companies can’t know the kinds of threats that are going to happen. This is where security analysis tools come into play. They can be used to analyze security threats before they’ve been given the opportunity to create big problems for a business.

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More Trending

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Map of drying reservoirs in the west

FlowingData

To show water levels in California’s drying reservoirs, The Washington Post used upside down triangles to represent each reservoir. I like the idea to use an encoding that kind of looks like a reservoir, but my brain can’t help but read the fill level through height instead of area. Maybe the tradeoff isn’t worth it in this case? Compare this against a circle representation from 2015.

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An Intuitive and Easy Guide to Python Sets- Must for Becoming Data Science Professional

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In today’s world, in each and every domain, the utmost. The post An Intuitive and Easy Guide to Python Sets- Must for Becoming Data Science Professional appeared first on Analytics Vidhya.

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Big Data has Permanently Changed the State of Securities Trading

Smart Data Collective

The financial analytics market was worth an estimated $6.7 billion last year. It is projected to grow at an annual rate of around 13% through at least 2027. Big data technology keeps reshaping the business landscape and companies have started realizing the importance of using data and analytics in their decision-making processes. While small and medium businesses have yet to adapt to the concept, large businesses invest significantly in data.

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How to Build Trust in AI

DataRobot

Just as trust needs to be established in our personal and business relationships, it also needs to be established between an AI user and the system. Transformative technologies such as autonomous vehicles will be possible only when there are clear methods and benchmarks to establish trust in AI systems. At DataRobot , we define the benchmark of AI maturity as AI you can trust.

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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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Noah Kalina’s averaged face over 7,777 days

FlowingData

Noah Kalina has been taking a picture of himself every day since January 11, 2000. He posted time-lapse videos in 2007 , 2012 , and 2020. Last year was the 20th of the project. Usually Kalina’s videos are a straight up time-lapse using every photo. But in this collaboration with Michael Notter, 7,777 Days shows a smoother passage of time. Notter used machine learning to align the face pictures, and then each frame shows a 60-day average, which focuses on an aging face instead of everything

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Python Generators and Iterators in 2 Minutes for Data Science Beginners

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction We are continuing our Python: Understanding in 2 minutes series. The post Python Generators and Iterators in 2 Minutes for Data Science Beginners appeared first on Analytics Vidhya.

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Why Your Business Should Use a Data Catalog to Organize Its Data

Smart Data Collective

Imagine searching through boxes of receipts and statements, trying to find the ones you need to file this year’s income taxes. You’d probably get frustrated, overlook some things, and maybe even find that other items are missing. It’s what many people went through before the advent of the personal computer and apps that automatically categorize expenses.

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The People’s Data Catalog: Alation Featured as Top Choice in Eckerson’s Latest Report

Alation

Many data catalog initiatives fail. How can prospective buyers ensure they partner with the right catalog to drive success? According to the latest report from Eckerson Group, Deep Dive on Data Catalogs , shoppers must match the goals of their organizations to the capabilities of their chosen catalog. A data catalog’s approach is key. Does it match the goals and approach of the organization?

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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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UEFA Euro 2020 matches visualized with triangle sets

FlowingData

Krisztina Sz?cs used sets of animated triangles to show how each match played out. The triangles in the middle move up as each team scores, and the triangles on the side represent penalty kicks. Tags: Krisztina Sz?cs , soccer.

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Python *args and **kwargs in 2 minutes For Data Science Beginner

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Data science is not only about implementing high-level libraries in. The post Python *args and **kwargs in 2 minutes For Data Science Beginner appeared first on Analytics Vidhya.

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Impact of Machine Learning on the World of Online Trading

Smart Data Collective

Machine learning technology has completely changed the future of the financial sector. A number of major financial verticals have become more reliant on AI, including insurance, banking, securities brokers and financial planning services. Role of Machine Learning in Financial Securities Trading. One of the biggest changes brought on by machine learning has been with trading stocks , bonds, derivatives and other financial securities.

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The Future of AI and Identity Management in Commercial Insurance Claims

Dataversity

Click to learn more about author Chris Koverman. Identity management has been an obstacle for commercial insurance companies for a very long time. Many thought that problems would dissipate or at least become easier to correct by moving to digital systems, but in reality, identity management has only grown more complex. It is obvious that […].

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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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Slowing and then renewed interest in getting vaccinated

FlowingData

When countries gained access to vaccines, there was an initial burst of vaccinations, but the rate leveled off in most places. Then a variant arrives, and an incentive or another push for vaccinations increases the rate. Reuters looks at the rate shift in different countries, in the context of trying to reach 70 percent vaccinated. The set of difference charts took me a minute to digest, but then seems straightforward after.

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Titanic Survival Prediction Using Machine Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Hey Folks, in this article, we will be understanding, how to. The post Titanic Survival Prediction Using Machine Learning appeared first on Analytics Vidhya.

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Melting Pot: an evaluation suite for multi-agent reinforcement learning

DeepMind

Here we introduce Melting Pot, a scalable evaluation suite for multi-agent reinforcement learning. Melting Pot assesses generalisation to novel social situations involving both familiar and unfamiliar individuals, and has been designed to test a broad range of social interactions such as: cooperation, competition, deception, reciprocation, trust, stubbornness and so on.

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Five Tips for CMOs to Ensure Company and Data Security

Dataversity

Click to learn more about author Cindy Zhou. As the chief marketing officer (CMO) of a cybersecurity software company, I spend a lot of time on data security for our content marketing. However, in many organizations, security is a frequently overlooked area for marketers. In today’s business landscape, brand reputation – a job heavily supported […].

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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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Orchestrate meaningful customer relationships in the new digital era

Twilio Segment

As the world gradually reopens, the precedent during the pandemic of being accessible across channels will remain – along with the expectation that each customer interaction will be personalized.

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Python most powerful functions: map(), filter(), and reduce() in 5 minutes

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview Python includes a number of predefined built-in functions that can. The post Python most powerful functions: map(), filter(), and reduce() in 5 minutes appeared first on Analytics Vidhya.

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Why should you use a data management system?

Aryng

Data management is the practice of collecting, storing and using data effectively and securely so that data can drive the decision-making process. Effective data management is crucial to companies that want to develop a data culture. It is a component of data maturity. The process entails various functions, including data governance, that collectively ensure that […] The post Why should you use a data management system?

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Google Cloud Platform vs. AWS: Is the Answer Obvious? Maybe Not

Dataversity

Click to learn more about author Jay Chapel. Google Cloud Platform vs. AWS: What’s the deal? A while back, we also asked the same question about Azure vs. AWS. After the release of the latest earnings reports a few weeks ago from AWS, Azure, and GCP, it’s clear that Microsoft is continuing to see growth, Amazon is […]. The post Google Cloud Platform vs.

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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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Connecting with customers through quality data: the Vacasa experience

Twilio Segment

We recently hosted a webinar with Caleb Donegan, VP of Digital at Vacasa, and Glenn Weinstein, Chief Customer Officer at Twilio to discuss how digital touchpoints are giving organizations better insight into their customers.

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Auto Encoders -An Introductory Guide For Data Science Beginners

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Objective This article’s main aim is to generate the images using. The post Auto Encoders -An Introductory Guide For Data Science Beginners appeared first on Analytics Vidhya.

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Thinking about Cyber-Security

DataCentric podcast

How should IT professionals think about cyber-security in a world where business-impacting ransomware and malware attacks have become a daily occurrence? Hosts Matt Kimball and Steve McDowell, senior technology analysts for Moor Insights & Strategy, have a wide-ranging conversation about the current state of cyber-security with Timothy Liu, Senior VP and CTO, as well as a co-founder of Hillstone Networks.

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6 Top Ways We Should Use Speech Analytics

Dataversity

Click to learn more about author Evelyn Johnson. Whether you’re a product-based business or a service-based business, contact centers are likely a vital part of your success. As the business landscape continues to become customer-focused, companies need to ramp up their customer support efforts. Speech analytics is one of the latest developments in the contact center space. […].

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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.