Sat.Apr 09, 2022 - Fri.Apr 15, 2022

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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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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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Embrace SDDC and DevOps to accelerate digital transformation

Dataconomy

Software defined data center (SDDC) is the result of decades-long progress in server virtualization. SDDC extends virtualization into data storage and networking, and it provides a single software toolset for managing those virtualized assets. All infrastructure elements, networking, storage, CPU, and security are virtualized and delivered as a service in.

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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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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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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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Data Science Interview Guide – Part 2: Interview Resources

KDnuggets

Check out these resources to help you prepare for your data science Interview, or for those who are brushing up on their technical skills or who want to start learning data science.

More Trending

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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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Using Computer Vision to Convert Images in Watercolor Art

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be working on the application which will be capable enough to change the image to its watercolor art form, that we will be using just computer vision operations i.e. none of the machine learning techniques will be involved […]. The post Using Computer Vision to Convert Images in Watercolor Art appeared first on Analytics Vidhya.

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Answering Questions with HuggingFace Pipelines and Streamlit

KDnuggets

See how easy it can be to build a simple web app for question answering from text using Streamlit and HuggingFace pipelines.

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6 best data governance practices

Dataconomy

What do data governance practices help for? Or we should ask first, do you know where to seek out particular data in your company, or who to contact for it? Businesses that are still in their early phases understand the importance of data-driven choices in boosting their financial performance. A.

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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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Why Machine Learning Can Lead to the Perfect Web Design

Smart Data Collective

Machine learning technology is becoming a more important aspect of modern marketing. One of the biggest reasons for this is that digital marketing is playing a huge role in marketing strategies for most companies. Companies are expected to spend $460 billion on digital marketing this year. Machine learning technology is a very important element of digital marketing.

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End-to-End Beginners Guide on Spark SQL in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to cover Spark SQL in Python. In the last article, we have already introduced Spark and its work and its role in Big data. If you haven’t checked it yet, please go to this link. Spark is […]. The post End-to-End Beginners Guide on Spark SQL in Python appeared first on Analytics Vidhya.

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The Complete Collection Of Data Repositories – Part 2

KDnuggets

Check out the collection of the best data repositories on healthcare, natural language, neuroscience, physics, social network, sports, time series, transportation, miscellaneous, and super data repositories.

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Curate your big data to unleash its power

Dataconomy

Data curation is the active management of data throughout its lifecycle of interest and usefulness. The lifespan of data is determined by how long analysts and researchers are interested in it, which means as long as it can be reused to create more value. What is data curation? The process.

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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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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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Beginners Tutorial for Regular Expression in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Like every other person, I’ve faced quite some difficulties in using a regular expressions, and I am sure still there is a lot to learn. But, I’ve reached a point where I can use them in my day-to-day work. In my process […]. The post Beginners Tutorial for Regular Expression in Python appeared first on Analytics Vidhya.

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Python Libraries Data Scientists Should Know in 2022

KDnuggets

Let's have a look at the Python libraries that every data scientist should know in 2022, to maintain and improve their coding journey.

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How to improve your data quality in four steps?

Dataconomy

Did you know that common data quality difficulties affect 91% of businesses? Incorrect data, out-of-date contacts, incomplete records, and duplicates are the most prevalent. It’s impossible to identify new clients, better understand existing client needs, or increase the lifetime value of each customer today and in the future if there.

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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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Counterfactual Evaluation for Recommendation Systems

Eugene Yan

Thinking about recsys as interventional vs. observational, and inverse propensity scoring.

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All About Popular Graph Network Tools in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discover Graph Network Tools and Packages in python that are currently dominating in the data science industry. The world is all about relations. Every entity we see around us is related to each other somehow. Modelling these […]. The post All About Popular Graph Network Tools in Python appeared first on Analytics Vidhya.

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How to Write Engaging Technical Blogs

KDnuggets

Learn the rules for writing technical blogs, and increase unique views tenfold. Focusing on title, images, vocabulary, code blocks, writing style, and social media promotion can help you build a solid brand.

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Chris Latimer tells how to use real-time data to scale and perform better

Dataconomy

Real-time data is more critical than ever. We need it for quick decisions and pivot timely. Yet, most businesses can’t do this because they must upgrade their software and hardware to cope with real-time data processing’s demanding performance and scale standards. And when they can’t, we are left with stale.

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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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Ross Ihaka, co-creator of R, reflects on the language

FlowingData

NZ Herald talked to Ross Ihaka , one of the creators of R: Today, R is depended upon around the world by analysts, data scientists and big-name companies like Facebook, Google, Amazon and the New York Times, and it’s garnered Ihaka something of a rockstar status in the field of data science and statistics. He’s received numerous accolades over the years recognising his work, such as the Royal Society of New Zealand’s prestigious Pickering Medal, and the Statistical Computing an

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Face Detection Using the DLIB Face Detector Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be discussing the face detection process using the Dlib HOG detection algorithm. Though in this article we will not only test the frontal face but also different angles of the image and see where our model will perform […]. The post Face Detection Using the DLIB Face Detector Model appeared first on Analytics Vidhya.

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Top 5 Reasons Why You Should Avoid a Data Science Career

KDnuggets

The intent of this article is to give you a reality check of what are the personality traits of a typical data scientist before you dip your feet in the ocean of the big shiny world of data science.

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Secret weapon of big companies: Database marketing

Dataconomy

The best database marketing examples will show the way to a successful strategy. Customer database marketing gathers client information such as names, contact information, purchase history, and so on to create tailored marketing techniques for attracting, engaging, and converting potential consumers. Customer data is the lifeblood of marketing, and all.

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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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Comparing rich people incomes and the taxes they pay

FlowingData

Based on leaked IRS data for the 400 wealthiest Americans, ProPublica provides a comparison of their incomes and the lower taxes they paid between 2013 and 2018. This might be best piece so far from ProPublica’s IRS series in terms of understanding the big picture from their dataset. Also, that “smaller than a pixel” note for the average American is doing some heavy lifting.

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Learn About Apache Spark Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the last article, we discussed Apache Spark and the big data ecosystem, and we discussed the role of apache spark in data processing in big data. If you haven’t read it yet, you can find it on this page. This article […]. The post Learn About Apache Spark Using Python appeared first on Analytics Vidhya.

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Data Visualization in Python with Seaborn

KDnuggets

Learn to create beautiful charts in Python using the Seaborn library.

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What Are AI APIs, and How Do They Work?

Dataversity

An application programming interface (API) is a powerful technology and a growing concept in the software development sphere. It can be used in a variety of business functions and in applications that we regularly use. We frequently hear about APIs, but most of us don’t realize that they have become more prevalent in our daily […]. The post What Are AI APIs, and How Do They Work?

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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.