Sat.Jul 23, 2022 - Fri.Jul 29, 2022

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Pandas Functions You Should Know for Data Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Any data science task starts with exploratory data analysis to learn more about the data, what is in the data and what is not. Having knowledge of different pandas functions certainly helps to complete the analysis in time. Therefore, I have listed […]. The post Pandas Functions You Should Know for Data Analysis appeared first on Analytics Vidhya.

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7 traits of inspirational IT leaders

CIO Business Intelligence

All successful CIOs know how to instruct, motivate, energize, and even excite their teams. Yet only a relative handful of IT leaders can truly be described as inspirational figures, capable of leading their teams to goals that collegues at other enterprises can only dream about. CIOs who are purposefully positive and responsible, with a focus on integrity, tend to inspire others, says Ola Chowning, a partner at global technology research and advisory firm ISG.

IT 140
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Detecting Data Drift for Ensuring Production ML Model Quality Using Eurybia

KDnuggets

This article will focus on a step-by-step data drift study using Eurybia an open-source python library.

Modeling 156
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Discover Powerful Small Business Dashboards & KPIs To Track For Success

datapine

Table of Contents. 1) What Is A Small Business Dashboard? 2) What Are Small Business KPIs? 3) Why Do You Need Small Business Dashboards. 4) Small Business Dashboard & KPIs Examples. The times were data analysis was segregated to big enterprises that had the necessary resources to carry it out are long gone. Today, thanks to the rise of self-service BI tools, the analytical doors have been opened to a wider audience.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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Top Interview Questions & Answers for Apache Sqoop

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction One of the sources of Big Data is the traditional application management system or the interaction of applications with relational databases using RDBMS. Such RDBMS-generated Big Data is kept in the relational database structure of Relational Database Servers. Big Data storage and analysis […].

Big Data 399
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Tableau Brings Business Intelligence to Business Users

David Menninger's Analyst Perspectives

Organizations are collecting vast amounts of data every day, utilizing business intelligence software and data visualization to gain insights and identify patterns and errors in the data. Making sense of these patterns can enable an organization to gain an edge in the marketplace and plan more strategically.

More Trending

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IT leaders get creative to fill data science gaps

CIO Business Intelligence

For the past few years, IT leaders at a US financial services company have been struggling to hire data scientists to harness the increasing flood of incoming data that, if used properly, could improve customer experience and drive new products. To deal with this hiring problem, they’ve had to get creative. They’re not just offering remote work and flexible hours.

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How a Delta Lake is Process with Azure Synapse Analytics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We are all pretty much familiar with the common modern cloud data warehouse model, which essentially provides a platform comprising a data lake (based on a cloud storage account such as Azure Data Lake Storage Gen2) AND a data warehouse compute engine […]. The post How a Delta Lake is Process with Azure Synapse Analytics appeared first on Analytics Vidhya.

Data Lake 398
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Can Predictive Analytics Help Traders Navigate Bitcoin’s Volatility?

Smart Data Collective

Bitcoin has experienced tremendous price volatility in recent months. Traders are struggling to make sense of these patterns. Fortunately, new predictive analytics algorithms can make this easier. The financial industry is becoming more dependent on machine learning technology with each passing day. Last summer, a report by Deloitte showed that more CFOs are using predictive analytics technology.

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The 5 Hardest Things to Do in SQL

KDnuggets

The 5 hardest things Josh Berry, a 15 year analytics professional, experienced while switching from Python to SQL. Offering examples, SQL code, and a resource to customize the SQL to your own project.

Analytics 145
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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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Top 3 Barriers to Entry for AI in Health Care

Dataiku

When many people hear the phrase “AI in health care,” they may think of doctors being replaced by robots or machines. Not exactly a positive connotation, both on the patient and on the physician side of the equation, and also far from a realistic goal or measure of success. The potential for AI in health care is so much more diverse and, in many ways, complex.

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SQL Commands for Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction SQL?—?A structured query language is a must-know tool for everyone working with datasets. As its name suggests, it is primarily used to query, i.e., fetch the data from the relational database where data is stored in the form of tables. SQL helps […]. The post SQL Commands for Data Science appeared first on Analytics Vidhya.

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5 Vital Business Intelligence Tips All Companies Should Embrace

Smart Data Collective

Business intelligence is an integral part of any business strategy. It helps to turn your data or objectives into something meaningful. Business intelligence software can integrate information and present it in dashboards, reports, or graphs. Sixty-four percent of BI users have felt it was very helpful. It is also essential for a business to have a bi consultant who helps the business enhance its data strategy and processes.

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Practical Deep Learning from fast.ai is Back!

KDnuggets

Looking for a great course to go from machine learning zero to hero quickly? fast.ai has released the latest version of Practical Deep Learning For Coders. And it won't cost you a thing.

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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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Why Flexibility Is Driving the Future of Business Success

CIO Business Intelligence

During the past few years, business leaders experienced a crash course of invaluable lessons. While there was plenty to learn throughout the pandemic, perhaps the most important takeaway was the value of being agile and flexible in the face of fast-moving changes. The businesses with the resilience to roll with the punches have fared measurably better than those lacking a fast-acting ability to protect operations, technology, and employees from crisis and chaos.

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An End-to-end Guide on Anomaly Detection with PyCaret

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered how a person or a bank is notified of the wrongful transaction of his credit card, like how did system can notify that particular person or the bank about the transaction, which will help save his money by […]. The post An End-to-end Guide on Anomaly Detection with PyCaret appeared first on Analytics Vidhya.

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4 Ways for Data-Driven Startups to Find Electronics Online

Smart Data Collective

Are you planning on running a startup that relies heavily on data analytics technology ? This is a smart decision. A report by Entrepreneur shows that companies that use big data have 8% higher profits. They also cut expenses by an average of 10%. There are tons of great benefits of using big data to run your company. You can improve marketing strategies with big data , improve employee productivity, meet compliance targets and track trends more easily.

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KDnuggets News, July 27: The AIoT Revolution: How AI and IoT Are Transforming Our World • Introduction to Hill Climbing Algorithm

KDnuggets

Calculus for Data Science • Real-time Translations with AI • Using Numpy's argmax() • Using the apply() Method with Pandas DataFrames • An Introduction to Hill Climbing Algorithm in AI.

IoT 141
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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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Responsible AI Needs Strong Advocates: Meet Dataiker Triveni Gandhi

Dataiku

It takes a village, or more accurately a diverse group of brilliant advocates and experts to develop a strong approach to governed and safe AI. At Dataiku, we’re lucky enough to have such people in our company, and Triveni Gandhi, Data Scientist and Responsible AI Lead, is one of them. Triveni has recently won the 2022 VentureBeat Women in AI Award in the Responsibility and Ethics of AI category.

IT 105
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Analysis on Dark Chocolates using Python and Plotly

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Who doesn’t love chocolate? Everybody does. But not everyone likes dark chocolates as they taste bitter. But if you want to be healthy and want to overcome some stressful situation, this bad guy will give you some relief. Just take a bite […]. The post Analysis on Dark Chocolates using Python and Plotly appeared first on Analytics Vidhya.

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5 Tips to Improve the Data Security of Software Applications

Smart Data Collective

In today’s world, data is increasingly being shared and stored electronically. Therefore, the need to protect data from unauthorized access or theft is more important than ever. The of data breaches cannot be overstated. Over 440 million data records were exposed in data breaches in 2018 alone. This figure is growing as more people work from home and don’t take adequate precautions.

Software 123
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Using Scikit-learn’s Imputer

KDnuggets

Learn about Scikit-learn’s SimpleImputer, IterativeImputer, KNNImputer, and machine learning pipelines.

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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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Data tokenization: A new way of data masking

CIO Business Intelligence

While researchers examined the pandemic in relation to how companies managed to keep afloat in such an unprecedented situation, auditors assessed the increased data vulnerability, lack of data compliance, and costs incurred by such events. As businesses were forced to adapt new styles of working and adapt technologies, they struggled to meet security compliance standards like the General Data Protection Regulation (GDPR) and lagged in responding to data breaches.

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Apache Flume Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Apache Flume Apache Flume is a data ingestion mechanism for gathering, aggregating, and transmitting huge amounts of streaming data from diverse sources, such as log files, events, and so on, to a centralized data storage. It has a simplistic and adaptable […].

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5 Reasons SoD Protocols Are Vital to Modern Data Security

Smart Data Collective

Data breaches are becoming far more common these days. Security Magazine reports that over 22 billion records were exposed in the over 4,000 publicly disclosed data breaches last year. The actual number is likely higher, since many data breaches are never reported. We have talked extensively about the importance of taking precautions to prevent data breaches.

Risk 123
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How do I do that in Python?

KDnuggets

This book from Manning is full of techniques and best practices for writing readable and maintainable Python code, with careful cross-referencing that reveals how the same concept can be used in different contexts.

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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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A Joint Venture Revolutionizes Construction Logistics

CIO Business Intelligence

Construction logistics have traditionally been complicated, intensive, and error-prone and, until recently, there was little indication that this was going to change. Ordering can be maddening, delivery points are often overloaded, and larger construction companies average 150,000 receipts annually. Processing those receipts has long been a challenge in itself.

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ETL Pipeline with Google DataFlow and Apache Beam

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Processing large amounts of raw data from various sources requires appropriate tools and solutions for effective data integration. Many companies prefer to work with serverless tools and codeless solutions to minimize costs and streamline their processes. Building an ETL pipeline using Apache […].

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5 Setmore Alternatives that Use Big Data to Manage Appointments

Smart Data Collective

Big data technology has helped businesses improve efficiency in many important ways. Many companies are using big data to streamline many different aspects of their business. They use data analytics tools to improve financial management, One of the ways that many companies are using big data is to improve the way that they manage appointments. They can use data-driven appointment management tools to make this process easier than ever.

Big Data 122
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How ML Model Explainability Accelerates the AI Adoption Journey for Financial Services

KDnuggets

Explainability and good model governance reduce risk and create the framework for ethical and transparent AI in financial services that eliminates bias.

Modeling 122
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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.