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Git Merge Guide

Analytics Vidhya

Introduction Git is a robust version control system that is frequently used in software development to monitor source code changes. The ability to merge branches is one of Git’s primary capabilities. This enables many developers to work on various features or fixes concurrently and subsequently integrate their contributions. In this article, we will explore Git […] The post Git Merge Guide appeared first on Analytics Vidhya.

Software 229
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El BCE encara las vulnerabilidades del futuro euro digital

CIO Business Intelligence

El Banco Central Europeo (BCE) ha sentado las bases de la que podría ser la moneda del futuro en la región: el euro digital. Desde el pasado mes de noviembre la máxima autoridad monetaria europea aspira a desarrollar un modelo de gemelo digital de los billetes y monedas en curso dando respuesta al auge de los pagos digitales. El objetivo, según han detallado desde Bruselas, no es otro que garantizar que el sistema monetario siga siendo seguro al crear una moneda pública independiente de los banc

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Similarity and Dissimilarity Measures in Data Science

Analytics Vidhya

Introduction Data Science deals with finding patterns in a large collection of data. For that, we need to compare, sort, and cluster various data points within the unstructured data. Similarity and dissimilarity measures are crucial in data science, to compare and quantify how similar the data points are. In this article, we will explore the […] The post Similarity and Dissimilarity Measures in Data Science appeared first on Analytics Vidhya.

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Navigating the Storm: How Data Engineering Teams Can Overcome a Data Quality Crisis

DataKitchen

Navigating the Storm: How Data Engineering Teams Can Overcome a Data Quality Crisis Ah, the data quality crisis. It’s that moment when your carefully crafted data pipelines start spewing out numbers that make as much sense as a cat trying to bark. You know you’re in trouble when the finance team uses your reports as modern art installations rather than decision-making tools.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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Healthcare’s long road to digitization gets an AI boost

CIO Business Intelligence

The University of Pennsylvania Health System had an enormous amount of anonymized patient data in its Penn Medicine BioBank, and SVP and CIO Michael Restuccia’s team saw an opportunity to use it to benefit the research hospital’s patients. “We had a conversation about how to take some of the innovation occurring in research around AI and deploy it in the clinics,” he says.

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Deploying Machine Learning Models: A Step-by-Step Tutorial

KDnuggets

Image by author Model deployment is the process of trained models being integrated into practical applications. This includes defining the necessary environment, specifying how input data is introduced into the model and the output produced, and the capacity to analyze new data and provide relevant predictions or categorizations.

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Understanding SQL INTERSECT Operator

Analytics Vidhya

Introduction An essential tool for data manipulation is the SQL INTERSECT. In essence, INTERSECT joins two tables and yields a result set that contains the intersection (common records) of the two tables. We will study the fundamental syntax, applications, and sample INTERSECT examples on our example table in this post. Overview What is SQL INTERSECT?

Analytics 289
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Revolutionize Your Business Dashboards with Large Language Models

Cloudera

In today’s data-driven world, businesses rely heavily on their dashboards to make informed decisions. However, traditional dashboards often lack the intuitive interface needed to truly harness the power of data. But what if you could simply talk to your data and get instant insights? In the latest version of Cloudera Data Visualization , we’re introducing a new AI visual that helps users leverage the power of Large Language Models (LLMs) to “talk” to their data.

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Great Resignation 3.0? Rising workload and skills gap push workers to consider job changes

CIO Business Intelligence

A growing number of workers worldwide are considering changing employers within the next year due to rising workloads and the rapid pace of technological change, surpassing the levels seen during the “Great Resignation” of 2022, a report by PwC said. The 2024 Global Workforce Hopes & Fears Survey , conducted among over 56,000 workers in 50 countries, revealed that a surprising 28% of respondents are likely to switch employers within the next year.

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Creating AI-Driven Solutions: Understanding Large Language Models

KDnuggets

Understanding LLMs is pivotal in unlocking the full potential of AI-driven solutions across various domains. As we navigate the process of building AI-driven solutions, it is essential to approach the development and deployment of LLMs with a focus on responsible AI practices.

Modeling 118
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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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Access Amazon Redshift data from Salesforce Data Cloud with Zero Copy Data Federation

AWS Big Data

This post is co-authored by Vijay Gopalakrishnan, Director of Product, Salesforce Data Cloud. In today’s data-driven business landscape, organizations collect a wealth of data across various touch points and unify it in a central data warehouse or a data lake to deliver business insights. This data is primarily used for analytical and machine learning purposes, but not easily accessible by the business users across Sales , Service , and Marketing teams to make data driven decisions.

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What is Bagging in Machine Learning?

Analytics Vidhya

Introduction In the field of machine learning, developing robust and accurate predictive models is a primary objective. Ensemble learning techniques excel at enhancing model performance, with bagging, short for bootstrap aggregating, playing a crucial role in reducing variance and improving model stability. This article explores bagging, explaining its concepts, applications, and nuances, and demonstrates how […] The post What is Bagging in Machine Learning?

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Chart Snapshot: Chernoff Faces

The Data Visualisation Catalogue

Chernoff Faces are a form of data visualisation invented by the mathematician Herman Chernoff in 1973 to display multivariate data by using a human face. The rationale behind Chernoff Faces was that humans can more easily recognise faces and notice small changes, making them potentially useful for visualising complex multivariate data. However, there has been some disagreement with that assumption.

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MuleSoft unveils composability solution for gen AI

CIO Business Intelligence

Salesforce subsidiary MuleSoft announced a new AI-powered composability solution on Tuesday aimed at helping organizations build discrete AI services that form the building blocks of more complex systems and applications. “We believe the world of AI is really the world of APIs,” said Param Kahlon, Salesforce EVP and GM of Automation and Integration.

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The Role of Data Products in Maximizing ROI from AI Initiatives

Stuck with stalled AI projects? Data silos and fragmented processes are likely culprits. This IDC report unveils Data Products as the secret weapon. By treating data as a product, organizations can overcome these challenges and unlock the true potential of AI. Learn how a unified data control plane empowers Data Products to deliver trusted, high-quality data for faster insights and improved decision-making.

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5 Free Artificial Intelligence Courses from Top Universities

KDnuggets

Want to learn AI from the best of resources? Check out these free AI courses from top universities.

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Run Apache Spark 3.5.1 workloads 4.5 times faster with Amazon EMR runtime for Apache Spark

AWS Big Data

The Amazon EMR runtime for Apache Spark is a performance-optimized runtime that is 100% API compatible with open source Apache Spark. It offers faster out-of-the-box performance than Apache Spark through improved query plans, faster queries, and tuned defaults. Amazon EMR on EC2 , Amazon EMR Serverless , Amazon EMR on Amazon EKS , and Amazon EMR on AWS Outposts all use this optimized runtime, which is 4.5 times faster than Apache Spark 3.5.1 and has 2.8 times better price-performance based on an

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What are SQL DCL(Data Control Language) Commands?

Analytics Vidhya

Introduction Data Control Language (DCL) commands are fundamental in SQL for managing access and permissions within the database. These commands allow database administrators to regulate data access for various users, ensuring security and effective data management. This article discusses the primary DCL commands, their purposes, and practical applications.

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Chart Snapshot: Hex Cartograms

The Data Visualisation Catalogue

Also known as Tilegram, Hexmap Cartogram. A Hex Cartogram is a variation of the Mosaic Cartogram that uses hexagonal tiles instead of squares to make up the geographical regions. In a Hex Cartogram, each hexagonal tile represents a nominal unit from a particular variable (e.g. 1 hexagon = 1 million people). Hence, the number of hexagonal tiles assigned to a region is proportional to the data value assigned to that region.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Stock buybacks put CIOs in the hot seat

CIO Business Intelligence

Charles Dickens’ Tale of Two Cities contrasts London’s order and safety with the chaos and risk of Paris. Wall Street has its own tale of contrasts: Apple, which represents order and safety, and UnitedHealth Group, which represents — well, it was supposed to be order and safety, too, only it didn’t work out that well. And therein lies a cautionary tale for all CIOs.

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5 Tips to Step Up Your Data Science Game Right Away

KDnuggets

This article intends to provide practical advice for becoming a better data scientist by focusing on five different areas of proficiency. Whether you are starting out, or looking to get grounded after years as a practitioner, jump in and elevate your game.

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Tech Hobbies Can Help Future Data Scientists Excel

Smart Data Collective

There are a lot of great things that you can do to become a more successful data scientist, which includes engaging in certain hobbies.

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Revolutionizing Creative Sketch Generation with DCGAN

Analytics Vidhya

Introduction The domain of artificial intelligence has witnessed significant growth and expansion into creative sectors like sketching and doodling. In sketching, conventional AI approaches have mainly concentrated on imitating ordinary and real-life sketches. Still, recent developments in Generative Adversarial Networks (GANs) present an innovative perspective towards creative sketch production.

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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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Unparalleled Productivity: The Power of Cloudera Copilot for Cloudera Machine Learning

Cloudera

In the fast-evolving landscape of data science and machine learning, efficiency is not just desirable—it’s essential. Imagine a world where every data practitioner, from seasoned data scientists to budding developers, has an intelligent assistant at their fingertips. This assistant doesn’t just automate mundane tasks but understands the intricacies of your workflows, anticipates your needs, and dramatically enhances your productivity at every turn.

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How to get the most out of IT consultants

CIO Business Intelligence

As enterprises continue to plan, expand, or evolve their digital transformation efforts and shifts to the cloud, many are likely relying on IT consultants or considering hiring them for help. Bringing IT consultants on board give enterprise IT leaders several advantages, not the least of which is quick access to needed expertise when it’s not available inhouse.

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Why You Should Learn SQL in 2024

KDnuggets

Learning SQL in 2024 is essential as it remains the most in-demand skill for data professionals, enabling efficient management and analysis of large datasets.

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Taking PRIDE in Responsible AI via Data Collection & Analysis

Dataiku

Data collection is not new to the enterprise and serves as the foundation for all analytics across organizations. However, collecting information about someone’s gender, race, religion, or sexual orientation has a storied history around the world. Throughout time, demographic data have been used to manipulate public opinion, track minority populations, and perpetuate systems of violence against minority people.

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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 to Build a LangChain Chatbot with Memory?

Analytics Vidhya

Introduction Chatbots have become an integral part of modern applications, providing users with interactive and engaging experiences. In this guide, we’ll create a chatbot using LangChain, a powerful framework that simplifies the process of working with large language models. Our chatbot will have the following key features: By the end of this article, you’ll have […] The post How to Build a LangChain Chatbot with Memory?

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The Importance of Recognizing Juneteenth

Cloudera

Juneteenth holds profound significance in the history of freedom and equality for Black Americans. Also known as Freedom Day or Emancipation Day, Juneteenth commemorates the anniversary of June 19, 1865, when news of the Emancipation Proclamation reached Galveston, Texas, finally declaring freedom for enslaved Americans held in the Confederacy–more than two years after the proclamation was issued in on January 1, 1863.

IT 75
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10 ways to break free from AI pilot purgatory

CIO Business Intelligence

Companies pour millions into AI initiatives, only to find themselves mired in pilot purgatory — endless cycles of testing and tweaking with no tangible results. It’s not enough to start strong; you need to finish with impact. The stakes are high but AI has the potential to revolutionize industries, driving unprecedented efficiencies, innovation, and growth.

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Building Your First ETL Pipeline with Bash

KDnuggets

Bash is a good choice for ETL due to its simplicity, flexibility, automation capabilities, and interoperability with other CLI tools. Get more info on putting together your first ETL script using Bash mainstay components.

IT 85
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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.