Sat.Apr 30, 2022 - Fri.May 06, 2022

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Hypothesis Testing Explained

KDnuggets

This brief overview of the concept of Hypothesis Testing covers its classification in parametric and non-parametric tests, and when to use the most popular ones, including means, correlation, and distribution, in the case of one sample and two samples.

Testing 160
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The DataHour: Build Your First Chatbot Using Open Source Tools

Analytics Vidhya

Dear Readers, The latest edition of our flagship learning series on everything in and about data analytics is sure to excite your minds, be prepared for the DataHour on Building your First Chatbot using Open Source Tools. The session will be hosted by Dr. Rachael Tatman- Staff Developer Advocate at Rasa, the world’s leading conversational […].

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What’s next for digital transformation?

CIO Business Intelligence

Digital transformation isn’t new. Indeed, it has been on the CIO’s agenda for at least 35 years. I assisted in designing and stage-managing my first symposium on digital transformation in 1987. The keynote speakers were the CEO at the emerging technology supplier and the Chairman/CEO at one of the world’s largest and most technologically sophisticated financial institutions.

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DataKitchen In The The insideBIGDATA IMPACT 50 List

DataKitchen

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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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Machine Learning Is Not Like Your Brain Part One: Neurons Are Slow, Slow, Slow

KDnuggets

Artificial intelligence is not all that intelligent. While today’s AI can do some extraordinary things, the functionality underlying its accomplishments has very little to do with the way in which a human brain works to achieve the same tasks.

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Handling Missing Values with Random Forest

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Random Forest Missing values have always been a concern for any statistical analysis. They significantly reduce the study’s statistical powers, which may lead to faulty conclusions. Most of the algorithms used in statistical modellings such as Linear regression, Logistic Regression, […].

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Podcast: Storytime for DataOps

DataKitchen

The post Podcast: Storytime for DataOps first appeared on DataKitchen.

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SQL Notes for Professionals: The Free eBook Review

KDnuggets

The free book is a combination of SQL cheat sheets and practical database examples. It provided bite-size information about every SQL function and attribute with coding samples.

IT 156
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Introduction to Image Segmentation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Image Segmentation Suppose we have this image and the question that we are trying to solve is, what is the object present in this image. The object of importance here is the dog. Now, this looks like a simple enough problem, […]. The post Introduction to Image Segmentation appeared first on Analytics Vidhya.

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Data Management in the Healthcare Industry

CIO Business Intelligence

Information Technology continues to create opportunities to improve healthcare, but only when used effectively. Whether it’s medical devices, electronic healthcare records, high-bandwidth networks, medical imaging, or insurance, there are few corners of the healthcare field that are not deeply penetrated by IT. But where are things headed from here?

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Why DBAs Must Automate to Survive

TDAN

You might think the title of this article is some­what controversial, but you should wait until you’ve read to the end to render judgment. There are several important shifts impacting data management and database administration that cause manual practices and procedures to be ineffective. Let’s examine several of these trends. Data Growth But No DBA […].

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6 Highest Paying Companies for Data Scientists

KDnuggets

These are the six top paying companies for data scientists. I’ve looked at absolute salary, but I’ll fill you in on other factors you should consider as well when it comes to picking a data science job for money.

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Know About Ensemble Methods in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The variance is the difference between the model and the ground truth value, whereas the error is the outcome of sensitivity to tiny perturbations in the training set. Excessive bias might cause an algorithm to miss unique relationships between the intended outputs and the […].

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IT spending growth slows, as remote work proliferates

CIO Business Intelligence

Overall IT spending growth will slow slightly in the second quarter of this year, even as tech hiring hits record levels, according to a new survey of IT decision-makers released by Enterprise Technology Research (ETR). The latest iteration of ETR’s Technology Spending Intentions Survey (TSIS), which is issued quarterly, said that hiring demand for IT workers is at the highest levels ever reported.

IT 140
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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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AI-First Benefits: 5 Real-World Outcomes

Cloudera

Artificial intelligence (AI) has been a focus for research for decades, but has only recently become truly viable. The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. AI has the potential to transform operations by improving three fundamental business requirements: process automation, decision-making based on data insights, and customer interaction.

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How To Structure a Data Science Project: A Step-by-Step Guide

KDnuggets

Check out all the necessary steps to successfully structure your data science projects leveraging data science templates.

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Getting Started with Azure Synapse Analytics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Azure Synapse Analytics is a cloud-based service that combines the capabilities of enterprise data warehousing, big data, data integration, data visualization and dashboarding. Azure Synapse empowers numerous organizations in decision-making with the help of prescriptive and predictive analytics capabilities using its integration […].

Analytics 372
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Google Cloud data engineering, analytics systems target manufacturers

CIO Business Intelligence

Google Cloud Platform (GCP) is set to release two new solutions targeted at the manufacturing sector and aiming to ease data engineering and analytics tasks, unifying data from diverse machine assets to offer business insights to factory managers. GCP’s new offerings come at a time when enterprises in the manufacturing sector are adopting systems to meet the challenge of volatile, uncertain, complex and ambiguous (also known as VUCA) conditions arising from global phenomena including the pandemi

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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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Dapper Data Podcast: DataKitchen and DataOps – Episode #54 w/ Chris Bergh

DataKitchen

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9 Free Harvard Courses to Learn Data Science in 2022

KDnuggets

Learn Python programming, statistics, and machine learning online from one of the world’s top universities.

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Approaching Classification With Neural Networks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Classification Classification is one of the basic tasks that a machine can be trained to perform. This can include classifying whether it will rain or not today using the weather data, determining the expression of the person based on the facial […]. The post Approaching Classification With Neural Networks appeared first on Analytics Vidhya.

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Top 10 business needs driving IT spending today

CIO Business Intelligence

Ceridian SVP and CIO Carrie Rasmussen got a 7% bump in her IT budget for 2022, with her company’s growth, its ongoing digitalization drive, and security mindfulness driving the boost. More specifically, Rasmussen is boosting her spend on cybersecurity to help manage risk, a key element for enabling Ceridian’s planned global expansion. Some of the extra funds are paying for work to consolidate applications and services, a move Rasmussen classifies as an efficiency play “that will free up money to

IT 135
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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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DataKitchen Noted For DataOps Thought LeaderShip

DataKitchen

The post DataKitchen Noted For DataOps Thought LeaderShip first appeared on DataKitchen.

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How to Build Strong Data Science Portfolio as a Beginner

KDnuggets

After learning the basics of data science, you can start to work on real-world problems. But how do you showcase your work? In this article, we are going to learn a unique way to create a data science portfolio.

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The Ultimate Guide to Working With Mongo DB Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Mongo DB In the first part of this article, we will try to understand Mongo DB architecture along with how the Mongo DB database can be used for Data Science. We will first try to understand how is Mongo DB different […]. The post The Ultimate Guide to Working With Mongo DB Using Python appeared first on Analytics Vidhya.

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10 ways to recession-proof your IT career

CIO Business Intelligence

Tech leaders are known for planning ahead, and many are watching the state of the economy with interest, as inflation is on the rise, coupled with pandemic-related supply shortages and other global factors that increase the risk of a recession. The same forward-thinking approaches that help tech companies adapt — when faced with other forms of disruption — can also be applied to your career. .

IT 137
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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.

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Machine Learning Helps Improve Tronc Management Considerably

Smart Data Collective

Did you know that around 37% of businesses use machine learning to some degree? This figure is growing significantly by the year. There are many reasons that more companies are turning to machine learning technology. One of the benefits of leveraging machine learning is that it can help with develop employee compensation schemes. Joanne Sammer, an author with Better Workplace Better World published an article on the use of AI in making pay decisions.

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Image Classification with Convolutional Neural Networks (CNNs)

KDnuggets

In this article, we’ll look at what Convolutional Neural Networks are and how they work.

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The DataHour Synopsis: Learning Path to Master Data Engineering in 2022

Analytics Vidhya

Data is the new oil of the industry. The way raw oil empowers the industrial economy, data is empowering the information economy. […]. The post The DataHour Synopsis: Learning Path to Master Data Engineering in 2022 appeared first on Analytics Vidhya.

Analytics 271
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Customer Passwords are a Target for Cybercriminals: How to Address the Threat

CIO Business Intelligence

Companies face various cyber risks, ranging from ransomware to data theft. Cyber threat actors gain access to an organization’s systems in various ways. However, cybercriminals commonly take the path of least resistance, and organizations’ reliance on password-based authentication provides numerous avenues of attack. Passwords are known to be a weak form of authentication, and the widespread use of weak and reused passwords puts companies and their customers at risk.

Risk 144
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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.