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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Human-Machine Collaboration: Building Trust with Augmented Intelligence

Dataversity

Click to learn more about author Deepak Dube. Gartner reports have popularized the term “augmented intelligence” in the past couple of years. In this article, I will explain what it entails. Let’s begin with how Gartner defines it: “Augmented intelligence is a design pattern for a human-centered partnership model of people and artificial intelligence (AI) working together […].

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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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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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Data’s Gender Gap: Keeping Ourselves in Check

The Data Administration Newsletter

What is the work of data management and analysis for if we don’t properly gather, utilize, and listen to the information we say we’re seeking? While it is reasonable to believe in the burden of proof, endless data collection with no clear direction in mind to address related phenomena is a waste of everyone’s time. […].

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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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Self-Serve Advanced Analytics Offers a Collaborative, Empowered Environment

Dataversity

Click to learn more about author Kartik Patel. The use of business intelligence and business analytics is growing in every industry and business function and in companies of every size. In fact, 48% of small and medium-sized enterprise (SME) CIOs responding to a Gartner survey revealed that business intelligence (BI), data, and analytics is one […].

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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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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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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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How to Apply K-Fold Averaging on Deep Learning Classifier

Analytics Vidhya

This article was published as a part of the Data Science Blogathon In this article, we will be learning about how to apply k-fold cross-validation to a deep learning image classification model. Like my other articles, this article is going to have hands-on experience with code. This article will initially start with the theory part then […]. The post How to Apply K-Fold Averaging on Deep Learning Classifier appeared first on Analytics Vidhya.

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3 Ways to Close the Data Gaps in Commercial Banking

Dataversity

Click to learn more about author Clayton Weir. Over the last few years, retail banking has done a tremendous job of making the user experience sleeker and more frictionless. Yet, for all of the great strides that have been made in revolutionizing the retail banking experience – both on the front- and back-end – the […]. The post 3 Ways to Close the Data Gaps in Commercial Banking appeared first on DATAVERSITY.

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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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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.