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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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.

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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 381
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Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. It adds tables to compute engines including Spark, Trino, PrestoDB, Flink, and Hive using a high-performance table format that works just like a SQL table. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

Data Lake 119
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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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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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

IT 136
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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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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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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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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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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.

IoT 124
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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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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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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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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 111
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How Blacks in Technology Foundation is ‘stomping the divide’

CIO Business Intelligence

When Greg Greenlee joined the IT industry in 2008, the lack of representation of Black IT professionals among attendees and speakers at tech conferences and events was readily apparent. “It wasn’t a thing where I was made to feel out of place or that I did not belong,” Greenlee says, but it did make him wonder why Black technologists were few and far between in these spaces.

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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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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 100
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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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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AI value begins with managing the C-suite conversation

CIO Business Intelligence

Every futurist and forecaster I have talked to is convinced the transformative technology of the next seven years is artificial intelligence. Everyone seems to be talking about AI. Unfortunately, most of these conversations do not lead to value creation or greater understanding. And, as an IT leader, you can bet these same conversations are reverberating throughout your organization — in particular, in the C-suite.

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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

Analytics 331
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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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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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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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AWS makes its Lift program available in India

CIO Business Intelligence

Amazon Web Services on Wednesday made its global Lift program available in India, targeting small and medium-size businesses with revenue ranging from 800 million to 6.25 million rupees. The Lift program, according to AWS, offers promotional credits and nearly 200 AWS services to help enterprises move on-premises workloads to the cloud. The India Lift program allows enterprises within the designated revenue range, regardless of their status as an AWS customer, to join the program.

IT 98
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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

Analytics 322
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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.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.