Sat.Feb 25, 2023 - Fri.Mar 03, 2023

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PySpark for Data Science

KDnuggets

In this tutorial, we will learn to Initiates the Spark session, load, and process the data, perform data analysis, and train a machine learning model.

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3 Simple Steps that Took My Graph from Good to Great

Depict Data Studio

After enrolling in Depict Data Studio’s Great Graphs in Excel course and watching many of the videos, I was excited to apply what I had learned. My first chance came in the form of a front-end evaluation project for a children’s museum planning a new exhibition on dinosaurs. Measuring What Kids Already Know about Dinosaurs The museum wanted to understand what children and families already knew about dinosaurs – including whether they knew what other types of animals and plants existed at the sam

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Advantages of Using Big Data in Healthcare

TDAN

Knowledge truly is power, and at no time in human history have people had more access to information than they do today. Thanks to the internet, ordinary citizens can instantly access enormous volumes of data on pretty much any topic they wish to explore, no matter how esoteric it may be.

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Top Posts February 20-26: 5 SQL Visualization Tools for Data Engineers

KDnuggets

5 SQL Visualization Tools for Data Engineers • Free TensorFlow 2.

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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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7 CIOs on building a consultative IT culture

CIO Business Intelligence

How can we get our IT teams to be viewed as more consultative partners to the business? It’s one of the big questions I continue to hear from CIOs. While technology has changed dramatically over the past decade and become increasingly intertwined with the business’s success, many IT teams remain in order-taking mode, responding to requests and then scrambling to address the issues that arise after the fact.

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Choosing the Right Python Environment Tool for Your Next Project

Analytics Vidhya

Introduction Setting up an environment is the first step in Python development, and it’s crucial because package management can be challenging with Python. And also Python is a flexible language that can be applied in various domains, including scientific programming, DevOps, automation, and web development. Given the length and breadth of third-party applications, your global environment […] The post Choosing the Right Python Environment Tool for Your Next Project appeared first on

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ChatGPT for Data Science Cheat Sheet

KDnuggets

The latest KDnuggets cheat sheet covers using ChatGPT to your advantage as a data scientist. It's time to master prompt engineering, and here is a handy reference for helping you along the way.

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Perspectives on how cloud computing & app development trends will take shape in 2023

CIO Business Intelligence

We’ve entered another year where current economic conditions are pressuring organizations to do more with less, all while still executing against digital transformation imperatives to keep the business running and competitive. To understand how organizations may be approaching their cloud strategies and tech investments in 2023, members of VMware’s Tanzu Vanguard community shared their insights on what trends will take shape.

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Azure Databricks: A Comprehensive Guide

Analytics Vidhya

Introduction Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform that is built on top of the Microsoft Azure cloud. A collaborative and interactive workspace allows users to perform big data processing and machine learning tasks easily. In this blog post, we will take a closer look at Azure Databricks, its key features, […] The post Azure Databricks: A Comprehensive Guide appeared first on Analytics Vidhya.

Big Data 377
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Streaming Ingestion for Apache Iceberg With Cloudera Stream Processing

Cloudera

Recently, we announced enhanced multi-function analytics support in Cloudera Data Platform (CDP) with Apache Iceberg. Iceberg is a high-performance open table format for huge analytic data sets. It allows multiple data processing engines, such as Flink, NiFi, Spark, Hive, and Impala to access and analyze data in simple, familiar SQL tables. In this blog post, we are going to share with you how Cloudera Stream Processing ( CSP ) is integrated with Apache Iceberg and how you can use the SQL Stream

Snapshot 113
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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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5 Data Analysis Projects For Beginners

KDnuggets

Are you a data analyst newbie looking to boost your resume to land your first job? If yes, then up your game as a beginner with these 5 projects that you can’t afford to miss.

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Cost still biggest driver for multicloud, study finds

CIO Business Intelligence

Italian insurer Reale Group found itself with four cloud providers running around 15% of its workloads, and no clear strategy to manage them. “It was not a result we were seeking, it was the result of reality,” said Marco Barioni, CEO of Reale ITES, the company’s internal IT engineering services unit. Since then, Barioni has taken control of the situation, putting into action a multi-year plan to move over half of Reale Group’s core applications and services to just two public clouds in a quest

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Learning the Basics of Deep learning, ChatGPT, and Bard AI

Analytics Vidhya

Introduction Artificial Intelligence is the ability of a computer to work or think like humans. So many Artificial Intelligence applications have been developed and are available for public use, and chatGPT is a recent one by Open AI. ChatGPT is an artificial intelligence model that uses the deep model to produce human-like text. It predicts […] The post Learning the Basics of Deep learning, ChatGPT, and Bard AI appeared first on Analytics Vidhya.

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Embedded BI Tools Bring Huge Benefits to Business Applications

Smart Data Collective

Business intelligence has made a huge mark on the world of business. According to Fortune Business Insights, businesses spent around $24.05 billion BI solutions in 2021. However, many workplaces are still trying to figure out how to leverage business intelligence effectively. This technology offers many potential benefits, but many companies don’t fully take advantage of the opportunities it provides.

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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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KDnuggets News, March 1: Essential A/B Testing Course for Data Science • The Importance of Probability in Data Science

KDnuggets

Essential A/B Testing Course for Data Science • The Importance of Probability in Data Science • 5 Statistical Paradoxes Data Scientists Should Know • Free TensorFlow 2.

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A CIO’s first rule for automation: Have a clear business case

CIO Business Intelligence

By virtue of their position between IT and effecting business strategy, CIOs can identify what processes their organizations need in order to modernize and automate. When it comes to updating core systems to drive operational efficiencies, they also have to ensure that a sound business case exists to automate them, says Laurie Shotton, VP and analyst at Gartner.

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Pytorch Tensors and its Operations

Analytics Vidhya

Introduction The advancement of interest in Deep Learning in recent years and the explosion of Machine Learning tools like TensorFlow, PyTorch, etc., will also be cited, which will provide ease of use and easy debugging of codes. Many popular frameworks such as MxNet, Tensorflow, Jax, PaddlePaddle, Caffe 2, Mindspore, and Theano will gain popularity because […] The post Pytorch Tensors and its Operations appeared first on Analytics Vidhya.

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Analytics Changes the Calculus of Business Tax Compliance

Smart Data Collective

Data analytics technology has had a profound impact on the state of the financial industry. A growing number of financial institutions are using analytics tools to make better investing decisions and insurers are using analytics technology to improve their underwriting processes. However, there is an area that is being shaped by analytics technology that has not gotten as much attention – tax compliance.

Analytics 109
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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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Why should you combine ChatGPT with Knowledge Graphs?

Ontotext

ChatGPT, a huge language model developed by OpenAI , has revolutionized the area of natural language generation by its ability to generate human-like text. However, like any machine learning model , it has its limitations. One of the limitations of ChatGPT is its lack of understanding of the context and background knowledge of the text it generates.

Modeling 105
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The Rome Call for AI Ethics: Should CIOs heed it?

CIO Business Intelligence

As enterprises increasingly look to artificial intelligence (AI) to support, speed up, or even supplant human decision-making, calls have rung out for AI’s use and development to be subject to a higher power: our collective sense of right and wrong. One such entity weighing in on the need for AI ethics is the Vatican, which exactly three years ago, on Feb. 28, 2020, brought together representatives from Microsoft and IBM to first sign the Rome Call for AI Ethics, a commitment to develop AI that

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30 Best Data Science Books to Read in 2023

Analytics Vidhya

Introduction Data science has taken over all economic sectors in recent times. To achieve maximum efficiency, every company strives to use various data at every stage of its operations. Each aspect of data science, like data preparation, the importance of big data, and the process of automation, contributes to how data science is the future […] The post 30 Best Data Science Books to Read in 2023 appeared first on Analytics Vidhya.

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Top 5 Advantages That CatBoost ML Brings to Your Data to Make it Purr

KDnuggets

This article outlines the advantages of CatBoost as a GBDTs for interpreting data sources that are highly categorical or contain missing data points.

IT 116
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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.

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Updated Outlook of the AI Software Development Career Landscape

Smart Data Collective

AI technology is one of the fastest-growing industries in the world. One poll found that 35% of companies currently use AI and another 42% intend to use it in the future. As professional and personal life becomes increasingly more digital, employers everywhere are looking for capable programmers to develop new AI algorithms that will help improve efficiency and address some of our most pressing needs Not only are AI software developer jobs ubiquitous, but they are also well paying.

Software 104
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Mulesoft, Tableau uptake fuels Salesforce growth spurt

CIO Business Intelligence

Despite a tumultuous couple of months, strong user uptake of Tableau business intelligence and MuleSoft data automation and integration software fueled a surprising 14% year-over-year jump in revenue for Salesforce’s fourth quarter. Posting revenue of $8.38 billion after stock market trading closed on Wednesday, the company beat the expectations of analysts, whose average forecast for the quarter was $7.99 billion, according to data from Yahoo Finance.

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Revolutionizing AI in the Life Sciences Industry Using Open AI’s GPT-3

Analytics Vidhya

Introduction Artificial Intelligence has seen enormous advancements in recent years, notably in the life sciences sector. Various fields of the life sciences, like Biotechnology, Pharmaceuticals, and Medical devices, could be transformed by using AI. This article explains how GPT-3 revolutionized AI in the Life Sciences Industry. Source: NBC News The recently released Generative Pretrained Transformer 3 […] The post Revolutionizing AI in the Life Sciences Industry Using Open AI’s GPT

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Top Free Data Science Online Courses for 2023

KDnuggets

Learn Data Science in 2023 for FREE with these online courses.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Deep Learning for Land Cover Mapping

Dataiku

With the advent of the Anthropocene era, the physical territory is subject to dramatic transformations and ecological degradations due to human action. Regular and detailed maps are required for us to find our way in this new historical period.

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Australian businesses need new servers to drive sustainability and innovation

CIO Business Intelligence

Businesses are feeling growing pressure to act on climate change from all angles. However, despite data centres and transmission networks being responsible for nearly 1 per cent of energy-related greenhouse gas emissions, a new Deloitte study reports little over half (54 per cent) of businesses have converted to energy-efficient technologies. This number is concerning given emerging digital technologies such as blockchain, IoT, artificial intelligence, and machine learning are increasing demand

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Use Cases of Artificial Intelligence in E-Learning

Analytics Vidhya

Introduction Personalized learning is an approach to education that uses AI algorithms to analyze students’ learning styles and tailor instruction to their individual needs. This can include customized lesson plans, study materials, and activities tailored to the student’s strengths and weaknesses, interests, and learning preferences. With personalized learning, students can work at their own pace, […] The post Use Cases of Artificial Intelligence in E-Learning appeared first o

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Take a look at Domino Code Assist

Domino Data Lab

A picture is worth 1000 words, so let's get right into exploring Domino Code Assist (DCA). As I mentioned in my prior blog , with DCA you can import a dataset, make a few data visualizations, and deploy those data visualizations as a Python data app - all through a point-and-click interface. At the end of this, you have a perfectly executable Python or R script that follows the steps that you took in the UI.

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.