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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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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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 […].

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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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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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How Deep Learning Technology Improves the Efficiency of Parking Management Systems

Smart Data Collective

Parking Systems and The Current Crisis . The current world is undergoing a rapid transformation as a direct result of the many scientific breakthroughs and technological advancements enabling the production of an abundance of intelligent gadgets, appliances, and systems. Such intelligent devices, gadgets, and systems encompass automation, smart sensor networks, communication systems, and various other gadgets.

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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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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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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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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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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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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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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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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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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

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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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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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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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Trends Data Leaders Should Anticipate

The Data Administration Newsletter

Not surprisingly, digital transformation is a prerequisite for forward-thinking businesses. The catastrophic disruption of the global pandemic did not slow down the need for systems, processes, and people who will help modern organizations move faster. Data, as always, is top of mind. With so many trends and tools available, it can be hard to see […].

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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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4 Key Approaches to Using Data Analytics for Social Determinants of Health

Dataversity

Every day customers are calling health care call centers, providing visibility into their daily reality – without even being asked. Whether or not you’re listening, customers are sharing details about the social factors impacting their health care decisions within every interaction. These factors, both positive and negative, are called social determinants of health (SDOH) and include: Access to […].

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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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Data Mining Use Cases

The Data Administration Newsletter

“Information is the oil of the 21st century, and analytics is the combustion engine,” says Peter Sondergaard, former Global Head of Research at Gartner. And he has a point. Given that the global big data market is forecast to be valued at $103 billion in 2027, it’s worth noticing. As the amount of data generated […].

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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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Data Governance at the Edge of the Cloud

Dataversity

We are living in turbulent times. Online security has always been an area of concern; however, with recent global events, the world we now live in has become increasingly cloud-centric. With that, I’ve long believed that for most large cloud platform providers offering managed services, such as document editing and storage, email services and calendar […].

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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.