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.

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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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DataKitchen In The The insideBIGDATA IMPACT 50 List

DataKitchen

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Order Management System Tweaks That Can Save Your Budget

datapine

Like mitochondria and the cell, the order management system is the powerhouse of the warehouse. It ensures everything flows correctly and effectively, minimizing issues and impacting the budget. Using your order tools to their fullest improves order operations and creates plenty of ways you can reduce expenses or eliminate costs. It’s all about learning the tool and seeing what’s available.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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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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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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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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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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Podcast: Storytime for DataOps

DataKitchen

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

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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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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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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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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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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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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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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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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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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 373
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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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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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6 key challenges of complex cloud environments — and how to manage them

CIO Business Intelligence

The dramatic shift to cloud services over the past few years has given organizations unprecedented flexibility and scalability, enabling them to forge ahead with digital transformation efforts. For many, it has also led to intermingled, complex strategies that threaten to take away some of the luster of the cloud. Enterprises don’t typically deploy one cloud service and call it a day.

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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 159
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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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DataKitchen Noted For DataOps Thought LeaderShip

DataKitchen

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

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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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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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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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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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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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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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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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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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Car Sales Demand Forecasting Using Pycaret

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will try to predict the car sales demand given the train and test data. This problem was introduced as a JOBATHON competition on the Analytics Vidhya platform which ran from 22 April 2022 to 24 April 2022. The data that we […]. The post Car Sales Demand Forecasting Using Pycaret appeared first on Analytics Vidhya.

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Seven Benefits of Using AI to Perform Text Analysis

Smart Data Collective

Artificial intelligence is often portrayed as a technology that will make robots rule over humans. No wonder many people fear that computers and other AI—enabled devices will control us. However, if we keep aside this dangerous depiction of AI, we can see how beneficial such systems are in our lives. Businesses are including more of it in their companies and adopting methods like AI text analysis. .

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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.