Sat.Feb 12, 2022 - Fri.Feb 18, 2022

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Good Data Governance Improves Business Processes

David Menninger's Analyst Perspectives

Many organizations invest in data governance out of concern over misuse of data or potential data breaches. These are important considerations and valid aspects of data governance programs. However, good data governance also has positive impacts on organizations. For example, I have previously written about the valuable connection between the use of data catalogs and satisfaction with an organization’s data lake.

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K-Fold Cross Validation Technique and its Essentials

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image designed by the author Introduction Guys! Before getting started, just […]. The post K-Fold Cross Validation Technique and its Essentials appeared first on Analytics Vidhya.

IT 343
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Intelligence and Comprehension

O'Reilly on Data

I haven’t written much about AI recently. But a recent discussion of Google’s new Large Language Models (LLMs), and its claim that one of these models (named Gopher) has demonstrated reading comprehension approaching human performance , has spurred some thoughts about comprehension, ambiguity, intelligence, and will. (It’s well worth reading Do Large Models Understand Us , a more comprehensive paper by Blaise Agüera y Arcas that is heading in the same direction.).

Testing 299
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How You Can Use Machine Learning to Automatically Label Data

KDnuggets

AI and machine learning can provide us with these tools. This guide will explore how we can use machine learning to label data.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Data Speaks for Itself: Data Littering

TDAN

No, this is not a mistyping of data literacy. Yes, like everyone, I am aware of and fully on-board with the growing movement to improve data literacy in the enterprise. What I want to talk about is Data Littering, which is something else entirely. Data Littering is the deliberate act of creating and distributing data […].

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A Quick Guide to Bivariate Analysis in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In all kinds of data science projects across domains, EDA (exploratory data analytics) is the first go-to analysis, without which the analysis is incomplete or almost impossible to do. One of the key objectives in many multi-variate analyses is to understand relationships between […].

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An Easy Guide to Choose the Right Machine Learning Algorithm

KDnuggets

There's no free lunch in machine learning. So, determining which algorithm to use depends on many factors from the type of problem at hand to the type of output you are looking for. This guide offers several considerations to review when exploring the right ML approach for your dataset.

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DataOps For Beginners

DataKitchen

In this webinar, take a trip to DataOps 101 and learn the basics! The post DataOps For Beginners first appeared on DataKitchen.

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Linear Regression with Python Implementation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. [link] Introduction If you are reading this article, I am assuming that you are already familiar with Machine Learning, and have a basic idea about it. If not no worries, we will go through step by step to understand Machine Learning and Linear […]. The post Linear Regression with Python Implementation appeared first on Analytics Vidhya.

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Benefits of Using AI-Powered Plagiarism Checkers When Writing Academic Papers

Smart Data Collective

There are many ways that artificial intelligence technology developments are influencing academia. One of the most significant changes that AI has introduced is detecting plagiarism more easily. Artificial intelligence is a game-changer in the fight against plagiarized content. AI is an important way to vet content or academic papers. How AI is Radically Changing the Future of Plagiarism Detection.

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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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Free MIT Courses on Calculus: The Key to Understanding Deep Learning

KDnuggets

Calculus is the key to fully understanding how neural networks function. Go beyond a surface understanding of this mathematics discipline with these free course materials from MIT.

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IBM Loves DataOps

DataKitchen

DataOps is a discipline focused on the delivery of data faster, better, and cheaper to derive business value quickly. It closely follows the best practices of DevOps although the implementation of DataOps to data is nothing like DevOps to code. This paper will focus on providing a prescriptive approach in implementing a data pipeline using a DataOps discipline for data practitioners.

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Introductory Note on Imputation Techniques

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine learning models are garbage in garbage-out boxes, and it is essential to address any missing data before feeding it to your model. Missing data in your dataset could be due to multiple reasons like 1) The data was not available. 2) The […]. The post Introductory Note on Imputation Techniques appeared first on Analytics Vidhya.

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The Right Data Can Help Guide Business Decision Making

Smart Data Collective

Most companies have known for years that big data can be invaluable to their organizations. However, far fewer try to use it effectively. Many don’t have a formal data strategy and even fewer have one that works. According to one study conducted last year, only 13% of companies are effectively delivering on their data strategies. There are a lot of reasons data strategies fail.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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How to Become a Successful Data Science Freelancer in 2022

KDnuggets

In this article, I will walk you through how you can use your data science skills to land freelance gigs.

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Upgrade Hortonworks Data Platform (HDP) to Cloudera Data Platform (CDP) Private Cloud Base

Cloudera

CDP Private Cloud Base is an on-premises version of Cloudera Data Platform (CDP). This new product combines the best of Cloudera Enterprise Data Hub and Hortonworks Data Platform Enterprise along with new features and enhancements across the stack. This unified distribution is a scalable and customizable platform where you can securely run many types of workloads.

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Text Cleaning Methods in NLP | Part-2

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the first part of the series, we saw some most common techniques which we daily use while cleaning the data i.e. text cleaning in NLP. I would recommend if you haven’t read it first read it, which will help you in […]. The post Text Cleaning Methods in NLP | Part-2 appeared first on Analytics Vidhya.

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Blockchain Offers Huge Stability to Bitcoin Autotrading Apps

Smart Data Collective

Blockchain technology has become a very important part of our lives. It is currently being used in virtually every field from finance to copyright enforcement. However, one of the fields most impacted by blockchain is still the one it was originally created for – cryptocurrency trading. Every major cryptocurrency trading platform uses blockchain technology to some degree.

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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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Random Forest® vs Decision Tree: Key Differences

KDnuggets

Check out this reasoned comparison of 2 critical machine learning algorithms to help you better make an informed decision.

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Why Does Multi Domain Master Data Management Matter?

TDAN

The global master data management (MDM) market is estimated to grow from USD 1.6 billion in 2019 to USD 3.4 billion by 2024, with the multi domain MDM solution segment expected to grow at the highest CAGR during this forecast period. Traditional MDM systems are purpose-built for a single type of data or domain. Each […].

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Pose Detection Using Computer Vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discuss some of the basic concepts related to Pose Detection. This article will cover a problem of the Computer Vision section of machine learning. In this article, we will gain knowledge of working with Image data and […]. The post Pose Detection Using Computer Vision appeared first on Analytics Vidhya.

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Data Analytics is Fundamental to Next-Gen Marketing for New Businesses

Smart Data Collective

Data analytics has become a very important part of business management. Large corporations all over the world have discovered the wonders of using big data to develop a competitive edge in an increasingly competitive global market. American Express is an example of a company that has used big data to improve its business model. They can now successfully identify 24% of accounts that will close within four months.

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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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Octoparse 8.5: Empowering Local Scraping and More

KDnuggets

Octoparse 8.5 is now released with game-changing new features and major improvements.

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Creating Reports for Grant Deliverables Using Excel Dashboards

Depict Data Studio

Josephine Engels is an Evaluation Specialist at Mental Health America of Greater Houston. She enrolled in our Dashboard Design course and is sharing how she uses her new skills in real life. Thanks for sharing, Josephine! –Ann. — Are you tired of text heavy reports to summarize grant findings? Do you want to update the look and feel of your reporting templates?

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Importance of Data Governance and its Principles

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] What is DATA by Definition? Source: [link] Data are details, facts, statistics, or pieces of information, typically numerical. Data are a set of values of qualitative or quantitative variables about one or more persons or objects. While running a huge […]. The post Importance of Data Governance and its Principles appeared first on Analytics Vidhya.

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Build Your Insights Capabilities To Leapfrog Competition

Boris Evelson

Customers are more empowered, and finicky, than ever before. If you don’t create compelling experiences, the competition will grab them. Operating in this age of the customer has been a key challenge and will be for technology and data executives in particular for at least a decade. Accordingly, customer obsession — placing the customer at […].

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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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Top 5 Free Machine Learning Courses

KDnuggets

Give a boost to your career and learn job-ready machine learning skills by taking the best free online courses.

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Leadership in 2022: Focus on Empathy

Cloudera

The pandemic has accelerated diversity of teams, remote working, and the way we work, but most of all, it has emphasised the necessity of soft skills in our leaders. Empathy stands out as a core skill that must be alive and nurtured within our teams if we are to achieve our desired outcomes in 2022 and beyond. This blog explores what empathy looks like in a business context, why it’s so important, and what we’re up to at Cloudera.

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Classification without Training Data: Zero-shot Learning Approach

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Computer vision is a field of A.I. that deals with deriving meaningful information from images. Since 2012 after convolutional neural networks(CNN) were introduced, we moved away from handcrafted features to an end-to-end approach using deep neural networks. These are easy to develop […].

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What is Data Virtualization? Understanding the Concept and its Advantages

Data Virtualization

Reading Time: 3 minutes Data is at the center of every company. Through the information that is generated by a company’s processes on a daily basis, companies can improve decision-making capabilities now for better business results down the road. However, every day, companies generate. The post What is Data Virtualization? Understanding the Concept and its Advantages appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.