April, 2022

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The 8 Basic Statistics Concepts for Data Science

KDnuggets

Understanding the fundamentals of statistics is a core capability for becoming a Data Scientist. Review these essential ideas that will be pervasive in your work and raise your expertise in the field.

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Is Quantum Computing the Future of Artificial Intelligence?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Forbes.com Introduction It is not hidden from the audience that quantum computing is the future of data processing. Tech giants like IBM, Google, and Microsoft are all aggressively pursuing quantum computing technology for a good reason. The massive speedups and power savings of quantum […].

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The history of Machine Learning – dates back to the 17th century

Dataconomy

Contrary to popular belief, the history of machine learning, which enables machines to learn tasks for which they are not specifically programmed, and train themselves in unfamiliar environments, goes back to 17th century. Machine learning is a powerful tool for implementing artificial intelligence technologies. Because of its ability to learn.

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Changing Who We Spend Time with as We Get Older

FlowingData

In high school, we spend most of our days with friends and immediate family. Then we get older and get jobs, get married, and grow our own families to spend more time with co-workers, spouses, and kids. Here’s how things change, based on a decade of data from the American Time Use Survey, from age 15 to 80. Read More.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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7 Data Lineage Tool Tips For Preventing Human Error in Data Processing

Smart Data Collective

Errors in data entry might have serious effects if they are not discovered quickly. Human mistake is the most common cause of data entry errors. Since typical data entry errors may be minimized with the right steps, there are numerous data lineage tool strategies that a corporation can follow. The steps organizations can take to reduce mistakes in their firm for a smooth process of business activities will be discussed in this blog.

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Staff picks for Tableau Conference 2022 sessions

Tableau

Christine Zuniga. April 20, 2022 - 5:52pm. April 21, 2022. There’s a lot to take in at Tableau Conference. Your calendar will fill up quickly, so we recommend planning ahead to make the most of your conference experience, whether you’re attending in person in Vegas or virtually from anywhere. . Now that the TC22 session catalog is live—check out the complete session lineup !

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Innovative Applications of Machine Learning in Healthcare Domain

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Nowadays, Machine learning is being used in various areas in the health business, including the development of improved medical processes, the management of patient records and data, and the treatment of chronic diseases. Healthcare firms may use machine learning to meet rising demand, […].

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How does AI overcome the fundamental issues with traditional cybersecurity approaches?

Dataconomy

Artificial intelligence in cybersecurity is a must-have combination for organizations nowadays. Artificial intelligence (AI) assists under-resourced security operations analysts in keeping pace with attacks, and this technology will have a greater role as cyberattacks increase in volume and complexity. AI technologies, such as machine learning and natural language processing that.

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Social Media Usage by Age

FlowingData

Social media apps are on a lot of phones these days, but some tend towards a younger audience and others an older. Some are common across the population. Here’s the breakdown by age for American adults in 2021, based on data from the Pew Research Center. Read More.

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What Artificial Intelligence can Help Businesses Manage Their Online Profiles

Smart Data Collective

A lot of factors go into building a business, but online reputation is a huge part of it. A lot of organizations don’t recognize the role that AI technology can play when it comes to business management, improving customer relationships and managing your business’s online profile. Customers tend to Google an organization prior to engaging with their services.

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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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What is Model Risk and Why Does it Matter?

DataRobot Blog

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. When business decisions are made based on bad models, the consequences can be severe.

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5 Different Ways to Load Data in Python

KDnuggets

Data is the bread and butter of a Data Scientist, so knowing many approaches to loading data for analysis is crucial. Here, five Python techniques to bring in your data are reviewed with code examples for you to follow.

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A Comprehensive Overview of Sentiment Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We can clearly see that sentiment analysis is getting more and more popular as e-commerce, SaaS solutions, and digital technologies advance. We’ll go through how this works and look at some of the most common corporate applications. We’ll also discuss the analysis’ […].

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AI dictionary: Be a native speaker of Artificial Intelligence

Dataconomy

The most completed list of Artificial Intelligence terms as a dictionary is here for you. Artificial intelligence is already all around us. As AI becomes increasingly prevalent in the workplace, it’s more important than ever to keep up with the newest words and use types. Leaders in the field of.

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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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Tax services want your data

FlowingData

Taxes are due today in the U.S. (yay). Geoffrey A. Fowler for The Washington Post on the part when tax services like TurboTax and H&R Block ask for your data : What he discovered is a little-discussed evolution of the tax-prep software industry from mere processors of returns to profiteers of personal data. It’s the Facebook-ization of personal finance.

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10 Important Ways Data Visualization Can Benefit Your Content Strategy

Smart Data Collective

Data visualization has become a major part of life for those looking to make use of the large swathes of data available in the modern world. As important as this data is, understanding and making use of that data is even more important. That’s where data visualization comes in. Data visualization is, to put it simply, converting hard data and lists of numbers or facts, into an easier to comprehend form.

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Finding the Signal in the Noise: Talking Racing Strategy with McLaren Racing’s Randy Singh

DataRobot Blog

F1 is headed Down Under next week for the first time since 2019. The Australian Grand Prix – taking place in Melbourne’s Albert Park Circuit – will showcase a new track layout and will be a homecoming for Australia’s own, McLaren Racing driver Daniel Ricciardo. The track changes, which Ricciardo consulted on , are the first modifications since 1996 and are aimed at reducing lap times, increasing speeds, and bringing the cars closer together.

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Uncertainty Quantification in Artificial Intelligence-based Systems

KDnuggets

The article summarizes the plethora of UQ methods using Bayesian techniques, shows issues and gaps in the literature, suggests further directions, and epitomizes AI-based systems within the Financial Crime domain.

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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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Object Detection Using Haar Cascade: OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discuss how to implement a haar cascade for object detection in OpenCV. In the last article, we discussed real-time object classification, if you haven’t read it yet, the link is here. Source: Link Identifying a custom object […]. The post Object Detection Using Haar Cascade: OpenCV appeared first on Analytics Vidhya.

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AI in gaming: A complete guide

Dataconomy

Do you love artificial intelligence games? Artificial intelligence (AI) has played an increasingly important and productive role in the gaming industry since IBM’s computer program, Deep Blue, defeated Garry Kasparov in a 1997 chess match. AI is used to enhance game assets, behaviors, and settings in various ways. Artificial intelligence.

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Tonga shockwave around the world

FlowingData

Earlier this year, an underwater volcano erupted in the island nation of Tonga. For The New York Times, Aatish Bhatia and Henry Fountain describe the effects of the eruption , which lasted for days and rippled around the world. The introductory animated globe shows the pressure wave and gives a good sense of the eruption’s massive scale. Tags: eruption , New York Times , shockwave , Tonga.

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AI is Creating Powerful New Online Time Tracking Tools

Smart Data Collective

Artificial intelligence technology has been instrumental in driving many important changes in our daily lives. We use a ton of online tools and mobile apps that rely heavily on AI technology. How important has AI been in transforming mobile apps and online tools? One study from Gartner found that it increased 270% between 2015 and 2019. Online time tracking apps are among those that use AI technology to improve the customer experience and offer the best service.

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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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What is a data fabric?

Tableau

Karen Madera. Senior Manager, Product Marketing, Tableau. Bronwen Boyd. April 19, 2022 - 12:16am. April 19, 2022. By now, you’ve heard the good news: The business world is embracing data-driven decision making and growing their data practices at an unprecedented clip. The pandemic may have forced their hands, but they’ve seen the value of data and will never go back to making decisions based on hunches.

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4 Factors to Identify Machine Learning Solvable Problems

KDnuggets

The near future holds incredible possibility for machine learning to solve real world problems. But we need to be be able to determine which problems are solvable by ML and which are not.

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Building a Car Price Predictor Using Spark in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will build a machine learning pipeline that is a Car Price Predictor using Spark in Python. We have already learned the basics of Pyspark in the last article. If you haven’t checked it yet, here is the link. […]. The post Building a Car Price Predictor Using Spark in Python appeared first on Analytics Vidhya.

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Pros and cons of AI: Is Artificial Intelligence suitable for you?

Dataconomy

We searched the risks and benefits of artificial intelligence and tried to decide is it evil or not? Humans have long desired to construct machines that can make decisions. It was thought of as a possibility that seemed too good to be true for a long time, and it was.

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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.

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1950 Census released by U.S. National Archives

FlowingData

For privacy reasons, there’s a 72-year restriction on individual Census records, which include names and addresses. It’s 72 years today since the release of the 1950 Census. The scanned paper records are available for browsing and downloading. Tags: archive , census , history.

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What Are the Best Methods To Keep Online Data Safe?

Smart Data Collective

Although we’re only a few months into 2022, this year has already seen massive cyberattacks, huge ransomware payouts, and data breaches never witnessed before. On average, damages due to cyberattacks are growing by 15% per year, with a predicted total value of $10.5 trillion lost each year by 2025. Across the different formats of cybercrime, one continual contender is data breaches, with 60% of businesses that experience any form of data breach going out of business in the following six months.

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Moving from Red AI to Green AI, Part 2: A Practitioner’s Guide to Efficient Machine Learning

DataRobot Blog

In our previous post , we talked about how red AI means adding computational power to “buy” more accurate models in machine learning , and especially in deep learning. We also talked about the increased interest in green AI, in which we not only measure the quality of a model based on accuracy but also how big and complex it is. We covered different ways of measuring model efficiency and showed ways to visualize this and select models based on it.

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Data Science Interview Guide – Part 1: The Structure

KDnuggets

According to one source, the types of questions that will generally be asked in data scientist interviews can be broken down into five categories. Let's take a closer look.

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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.