Sat.Sep 11, 2021 - Fri.Sep 17, 2021

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How to Extract Tabular Data from Doc files Using Python?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Data is present everywhere. Any action we perform generates some or the other form of data. But this data might not be present in a structured form. A beginner starting with the data field is often trained for datasets in standard formats like […]. The post How to Extract Tabular Data from Doc files Using Python?

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Is AI the Best Solution for Crowd Management?

Dataconomy

We increasingly use technology for a broad variety of purposes, and the more that happens, the more data we collect and store. These days, AI is transforming the way we utilize that information, including crowd management. Machines can read and learn from different types of data and then perform real-world tasks. That’s.

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Q&A With Co-Creator of the 6502 Processor

Hacker News

Few people have seen their handiwork influence the world more than Bill Mensch. He helped create the legendary 8-bit 6502 microprocessor , launched in 1975, which was the heart of groundbreaking systems including the Atari 2600 , Apple II , and Commodore 64. Mensch also created the VIA 65C22 input/output chip—noted for its rich features and which was crucial to the 6502's overall popularity—and the second-generation 65C816 , a 16-bit processor that powered machines such as the Apple IIGS , and t

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2021 Data/AI Salary Survey

O'Reilly Media

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The results gave us insight into what our subscribers are paid, where they’re located, what industries they work for, what their concerns are, and what sorts of career development opportunities they’re pursuing. While it’s sadly premature to say that the survey took place at the end of the COVID-19 pandemic (though we can all hope), it took place at a time when restrictions were loose

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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 power of Python Map, Reduce and Filter – Functional Programming for Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Map, Filter, and Reduce are paradigms of functional programming. What is functional programming? Functional programming, as the name suggests, computes through the evaluation of functions. They allow us to write simpler, shorter code with faster implementation methods. In functional programming, code relies entirely on […].

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Popular Myths About AI

The Data Administration Newsletter

Artificial Intelligence (AI) is the most talked-about technology currently and for obvious reasons. However, in the face of many facts about this technology, there have been several myths. For example, many associate it with Terminator-like scenes where machines take over the world, among other myths. In this article, we will be discussing and debunking some […].

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Data visualization activities for kids

FlowingData

Nightingale has a kid’s section with printable visualization activities. Get the kids started early while they absorb information like a sponge. Tags: kids , Nightingale.

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Beginner’s Guide To Create PySpark DataFrame

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Spark is a cluster computing platform that allows us to distribute data and perform calculations on multiples nodes of a cluster. The distribution of data makes large dataset operations easier to process. Here each node is referred to as a separate machine working on […]. The post Beginner’s Guide To Create PySpark DataFrame appeared first on Analytics Vidhya.

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Data is Risky Business: Return to Sender

The Data Administration Newsletter

A recent experience brought home to me the critical importance of good quality data in even the simplest of processes, particularly as processes become more automated and data driven. Before I went on vacation last month, a new team member joined Castlebridge. Equipment for them was ordered to be shipped to the office, and I […].

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Data Loss: Hazards, Risks and Strategies for Prevention

Smart Data Collective

Many organizations and enterprises are constantly under threat of a cyber attack. Although data may be lost in a hacking incident, it can also be due to other intentional or accidental reasons. For example, you cannot rule out physical data theft, human error, computer viruses, faulty hardware, power failure, and natural disasters. One way to mitigate the loss of vital information is to have a sound backup system, which will improve the chances of recovering the data.

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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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Cases, hospitalizations, and deaths for vaccinated vs. unvaccinated

FlowingData

The CDC released a chart that shows case, hospitalization, and death rates for fully vaccinated (blue) against not fully vaccinated (black). As you might expect, the rates for the fully vaccinated are much lower, especially for hospitalizations and deaths. Tags: CDC , coronavirus , unvaccinated , vaccination.

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Cross-Sell Prediction Using Machine Learning in Python

Analytics Vidhya

Objective Understand what is Cross-sell using Vehicle insurance data. Learn how to build a model for cross-sell prediction. Introduction If you are a Machine learning enthusiast or a data science beginner, it’s important to have a guided journey and also exposure to a good set of projects.In this article, We will walk through a beginner […].

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MLOps Community - System Design for RecSys & Search

Eugene Yan

An overview of system design, candidate retrieval, and ranking, with industry examples.

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Gmail is Using Big Data to Integrate a new VoIP feature

Smart Data Collective

Big data has been a pivotal asset in modern businesses. Major tech companies like Google regularly use big data to offer higher quality services to their customers. Google is one of the companies that has always used big data to its full effectiveness. They have used big data in their Gmail services to offer better features to their customers. In the past, they used new forms of big data technology to offer more robust security.

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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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Humorous charts to organize thoughts

FlowingData

When I’m feeling confused about what’s going on around me, I gravitate towards making charts, so Michelle Rial’s book of charts, Maybe This Will Help: How to Feel Better When Things Stay the Same , resonates. It’s available for pre-order. Tags: book , humor , Michelle Rial.

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Four Data Engineering Fundamentals All Data Scientists Must Know

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Data Science is a team sport, we have members adding value across the analytics/data science lifecycle so that it can drive the transformation by solving challenging business problems. We have multiple team members in a data science team: data engineers who create the […].

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5 takeaways from the Salesforce.org trends in higher education report

Tableau

Katharine Bierce. Manager, Research Content. Bronwen Boyd. September 15, 2021 - 5:37pm. September 16, 2021. Salesforce.org wanted to understand how higher education is evolving around the world. Together with Ipsos and the Chronicle of Higher Education, Salesforce.org surveyed more than 2,000 students and staff across 10 countries to better understand their needs amidst the tumult of the pandemic.

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Deciphering the Pros & Cons of Real-Time Data Streaming

Smart Data Collective

In a rapidly digitizing world, data is a crucial thing to both individuals and organizations. One of the recent developments in digital technology is streaming data in real-time. Data streaming is all about processing and analyzing data that keeps on flowing from a particular source to a destination in almost real-time. No matter the size and scale, a business can now reap irrefutable benefits because of the real-time data streaming option.

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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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How the demographics of your neighborhood changed

FlowingData

The San Francisco Chronicle compares demographics in your neighborhood in 2020 against 2010. It’s a straightforward app that lets you enter an address (not just in California) and it shows you the changes at several geographic levels. I like how snappy it is when you enter an address. Tags: census , demographics , San Francisco Chronicle.

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Apache Cassandra Data Model(CQL) – Schema and Database Design

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview When Apache Cassandra first came out, it included a command-line interface for dealing with thrift. Manipulation of data in this manner was inconvenient and caused knowing the API’s intricacies. Although the Cassandra query language is like SQL, its data modeling approaches are entirely […].

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How to harness a new wave of data-driven decision-making

Tableau

Forbes BrandVoice. Kristin Adderson. September 15, 2021 - 2:15am. September 15, 2021. Editor's note: This article originally appeared in Forbes , by Jennifer Day, Vice President, Customer Strategy and Programs, Tableau . Many businesses recently made strategic moves to build or enhance their data cultures, enabling people to make better, faster decisions as they faced unprecedented challenges.

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Great Benefits of Leveraging Big Data in Investing

Smart Data Collective

What is value investing? It is when an investor gets stock at cheaper prices than the actual value of the stock. However, value investing is challenging for most people. Successful investors find suitable assets like post pandemic dividends and monitor their stocks. In addition, they make the right decisions to ensure their projects are successful. Understanding the characteristics, which define undervalued stocks, can help you maximize your profits.

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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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? Dot Patterns – The Process 157

FlowingData

Welcome to issue #157 of The Process, the newsletter for FlowingData members about how the charts get made. I’m Nathan Yau, and this week I’m admiring how dots can be used to show both high granularity and overall patterns. Become a member for access to this — plus tutorials, courses, and guides.

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AdaBoost Algorithm – A Complete Guide for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Boosting is an ensemble modelling technique that was first presented by Freund and Schapire in the year 1997, since then, Boosting has been a prevalent technique for tackling binary classification problems. These algorithms improve the prediction power by converting a number of weak […].

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Increase trust and visibility with data prep and management enhancements

Tableau

Kate Grinevskaja. Product Manager, Tableau Catalog. Spencer Czapiewski. September 14, 2021 - 12:29am. September 15, 2021. Fully realizing your data-driven vision is closer than you think. The Tableau 2021.3 release enhances Tableau Data Management features to provide a trusted environment to prepare, analyze, engage, interact, and collaborate with data.

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Protecting IP Addresses in an Age Governed by Data

Smart Data Collective

New developments in data technology have led to some major changes in digital technology. One of the biggest changes has been the need for greater data security. In order to appreciate the importance of implementing a data-driven digital security strategy, you must consider the weak points in your cybersecurity plan. This entails recognizing the need to protect your IP address as much as possible.

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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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Black neighborhoods split by highways

FlowingData

Rachael Dottle, Laura Bliss and Pablo Robles for Bloomberg on how urban highways often split communities : By the 1960s, the neighborhood’s business core was gone, replaced by newly constructed Interstate 94. Homes that had been a short walk to the shops now overlooked a six-lane highway shuttling commuters between the Twin Cities of Minneapolis and St.

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Lasso and Ridge Regularization – A Rescuer From Overfitting

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction: OVERFITTING! We do not even spend a single day without encountering this situation and then try different options to get the correct accuracy of the model on the test dataset. But what if I tell you there exists a technique that inflicts a […]. The post Lasso and Ridge Regularization – A Rescuer From Overfitting appeared first on Analytics Vidhya.

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AI Mindset: Adopting the Right Framework for AI Implementation

Dataversity

Click to learn more about author Andriy Latysh. Businesses today are facing a key turning point in AI adoption and, as such, are perfectly positioned to reach new heights with AI, by gleaning actionable insights, improving operational efficiency, deciphering customer behaviors, and reducing costs. That said, just because an organization is willing to adopt AI […].

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Five Online Visibility Guidelines that Incorporate Big Data

Smart Data Collective

Big data is playing a vital role in modern branding. Companies need to know how to utilize their online branding strategy effectively if they hope to get the most bang for their buck. Big data can be essential for reaching your branding goals. Utilizing Big Data to Get the Most Out of Your Digital Media Strategy. You need to know how to use big data effectively if you want to create a successful digital marketing strategy.

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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.