Sat.Jun 11, 2022 - Fri.Jun 17, 2022

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Primary Supervised Learning Algorithms Used in Machine Learning

KDnuggets

In this tutorial, we are going to list some of the most common algorithms that are used in supervised learning along with a practical tutorial on such algorithms.

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Translate Spanish Audio transcriptions to Quechua

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Quechua In this article, we will create an app for translating Spanish Audio transcriptions to Quechua. We will leverage the Gradio Python package for creating a web interface for the model and deploy our app on Hugging Face Spaces. With the advent […]. The post Translate Spanish Audio transcriptions to Quechua appeared first on Analytics Vidhya.

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Data lineage harbors past secrets of the data you trust

Dataconomy

The data lineage can be defined as the GPS information of the data. It shows the experts the path of the data and its transformations. Recording how data is processed, changed, and transmitted, data lineage enables companies to gain meaningful insights into how they conduct their businesses. Data lineage visualizes.

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Hands-On Data Visualization, an open-access book on interactive visualization for beginners

FlowingData

Hands-On Data Visualization , by Jack Dougherty and Ilya Ilyankou, is an open-access book geared for beginners. The book starts with spreadsheets, and then walks you through some of the more high-level JavaScript libraries to put things online relatively quickly. If you don’t have programming experience but want to kick the tires, it’s probably worth saving this for later.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Generate Synthetic Time-series Data with Open-source Tools

KDnuggets

An introduction to the generative adversarial network model DoppelGANger, and how you can use a new open-source PyTorch implementation of it to create high-quality synthetic time-series data.

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A Complete Guide on Building an ETL Pipeline for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on ETL Pipeline ETL pipelines are a set of processes used to transfer data from one or more sources to a database, like a data warehouse. Extraction, transformation, and loading are three interdependent procedures used to pull data from one database and place […].

ETL 360

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Unreliable FBI crime data

FlowingData

The Marshall Project and Axios report that the FBI changed their reporting system last year, and 40 percent of law enforcement agencies didn’t submit any data : In 2021, the FBI retired its nearly century-old national crime data collection program, the Summary Reporting System used by the Uniform Crime Reporting (UCR) program. The agency switched to a new system, the National Incident-Based Reporting System (NIBRS), which gathers more specific information on each incident.

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Deep Learning Key Terms, Explained

KDnuggets

Gain a beginner's perspective on artificial neural networks and deep learning with this set of 14 straight-to-the-point related key concept definitions.

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Insurance Charges Prediction Using MLIB

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on MLIB In this MLIB article, we will be working to predict the insurance charges that will be imposed on a customer who is willing to take the health insurance, and for predicting the same PySpark’s MLIB library is the driver to […]. The post Insurance Charges Prediction Using MLIB appeared first on Analytics Vidhya.

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What Are OLAP (Online Analytical Processing) Tools?

Smart Data Collective

Data science is both a rewarding and challenging profession. One study found that 44% of companies that hire data scientists say the departments are seriously understaffed. Fortunately, data scientists can make due with fewer staff if they use their resources more efficiently, which involves leveraging the right tools. There are a lot of important queries that you need to run as a data scientist.

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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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Possible lead exposure around small airports

FlowingData

Thousands of smaller airplanes are still allowed to use leaded fuel, which can lead to unwanted emissions around airports. For Quartz, David Yanofsky and Michael J. Coren mapped flight activity for such planes against schools, parks, and playgrounds : These maps illustrate where initial emissions are likely to be highest. Because lead pollution disburses with the wind, anyone within a 1.5 km radius of the runways may be exposed over the long term.

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Top 15 Books to Master Data Strategy

KDnuggets

In this article, we outline 15 books on topics ranging from the technical to the non-technical, to help you improve your understanding of end-to-end best practices related to data.

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How ML with Titanic Dataset Could be Misleading?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The Titanic ship disaster is one of the most infamous shipwrecks. The luxury cruiser, touted to be one of the safest when launched, sank thousands of passengers due to an accident with an iceberg. Out of 2224 passengers, 1502 passengers died due to […]. The post How ML with Titanic Dataset Could be Misleading?

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How can CIOs Build Business Value with Business Analytics?

Smart Data Collective

Analytics is becoming more important than ever in the world of business. Over 70% of global businesses use some form of analytics. This figure will rise as globalization, supply chain challenges and other factors increase competitiveness. This is an important year for enterprises keeping in view that most global industries are recovering from the pandemic horror, and the era of web 3.0 is at the doorstep.

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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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Different languages, but similar information rates

FlowingData

Christophe Coupé and company analyzed speech rate (on the left) across different languages , and then compared it to information rate (on the right) in bits per second. While speech rate and information rate are still coupled, there’s less variation in information rate across languages. More syllables doesn’t necessarily mean more information.

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Prepare Your Data for Effective Tableau & Power BI Dashboards

KDnuggets

Although dashboards have become quite an integral part of performance tracking in organizations, implementing them can be tricky even for the most experienced analysts. This guide walks you through the steps that will allow you to create easily updatable, automated and scalable Power BI / Tableau dashboards.

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Create Gradio Demo for Speaker Verification

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. In this article, we will build an app for Speaker Verification using UniSpeech-SAT and X-Vectors. We will leverage the Gradio Python package for creating a web interface for the model and deploy our app on Hugging Face Spaces. Introduction on Speaker Verification Have you ever […].

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Design Patterns in Machine Learning Code and Systems

Eugene Yan

Understanding and spotting patterns to use code and components as intended.

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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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Map of closest airports everywhere

FlowingData

This fun interactive map by William B. Davis shows you the ten closest airports, given a location in the world. The current location serves as the “hub”, and the ten “spokes” go out to the airports. The best part is when you move the globe around, the hub-and-spokes look like a creature crawling across the map. Tags: airports.

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14 Essential Git Commands for Data Scientists

KDnuggets

Learn essential Git commands for versioning and collaborating on data science projects.

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Scraping Data Using Octoparse for Product Assessment

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Octoparse Hello, Data enthusiasts. I am thrilled to see you here to discuss another compelling use case which supports Data Analytics and Data-Science. As you all know that invariably you should not depend on the landing area, most of the time, the […]. The post Scraping Data Using Octoparse for Product Assessment appeared first on Analytics Vidhya.

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8 Ways Successful Online Business Leverage Big Data

Smart Data Collective

Big data technology is disrupting almost every industry in the modern economy. Global businesses are projected to spend over $103 billion on big data by 2027. While many industries benefit from the growing use of big data, online businesses are among those most affected. There are many practical benefits of using big data to grow your online business.

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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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How data communities help solve the data literacy gap

Tableau

Ashley Howard Neville. Senior Evangelist, Tableau. Kristin Adderson. June 11, 2022 - 7:40pm. June 11, 2022. Editor's note: This article originally appeared in Forbes , by Ashley Howard Neville, Tableau . According to a recently released Forrester Consulting study commissioned by Tableau about data literacy and culture in global enterprises, organizations that have a companywide mandate to their data literacy training have higher employee satisfaction levels with training offerings than those tha

Tableau 101
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Top Data Science Podcasts for 2022

KDnuggets

Here are some data science related podcasts to help you either grow your interest in the field, increase your current knowledge, or help you develop yourself.

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Web 3.0: All You Need to Know!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Every day billions of people use the World Wide Web to read, write and share information. The web has changed over the past few years, and its current applications are nearly unrecognizable from its early days. This evolution of the web is […]. The post Web 3.0: All You Need to Know!

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9 Ways Location Data Can Help You Excel in Retail

Smart Data Collective

Consumers today want retailers they do dealings with, to provide them with simplified and personalized services. If you fail to meet their standards for an effective and focused product offering, most of them will quickly take their money elsewhere. One of the secrets to attracting and retaining customers is to become more data-centric. The retail industry is expanding all the time.

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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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Operational Data Analytics Extends Finance’s Value

Dataversity

Futuristic films, such as the new “Doctor Strange in the Multiverse of Madness,” are a fun look into what the future might hold. But outside the cinema, we’re seeing shifts in what’s possible?right now. By leveraging operational data that’s collected throughout their very own organization, finance leaders are transforming the finance function and extending the […].

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Python For Machine Learning: eBook Review

KDnuggets

The guide to writing production-ready Python code for machine learning projects.

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The DataHour: Introduction to Tensorflow Javascript

Analytics Vidhya

Dear Readers, We bring you another episode of our DataHour series. Deep Learning is a subfield of Machine Learning, inspired by the biological neurons of a brain, and translated to artificial neural networks with representation learning. In this DataHour session, Umang will take you through a fun ride of live DEMO! We are sure that […]. The post The DataHour: Introduction to Tensorflow Javascript appeared first on Analytics Vidhya.

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7 Ways to End Dead Digital Weight on Your Website with Analytics

Smart Data Collective

Businesses have been using websites to reach customers for nearly 30 years. The first websites predated modern analytics technology. Google Analytics wasn’t launched until 2005. However, advances in analytics over the past decade have made it easier for companies to create quality websites. This has in turn increased the demands of customers using modern websites.

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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.