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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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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Follow the latest AI trends to survive tomorrow

Dataconomy

Are you searching for the newest Artificial Intelligence Trends? In 2022, artificial intelligence will have progressed far enough to become the most revolutionary technology ever created by man. According to Google CEO Sundar Pichai, its impact on our evolution as a species will be comparable to fire and electricity. The.

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Why DBAs Must Automate to Survive

The Data Administration Newsletter

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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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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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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Beef and the rainforest

FlowingData

People like beef. To raise more cattle, companies need more land. Sometimes to get more land, companies turn to unethical methods. Terrence McCoy and Júlia Ledur for The Washington Post : By reviewing thousands of shipment and purchase logs, and analyzing satellite imagery of Amazon cattle ranches, The Post found that JBS has yet to disentangle itself from ties to illegal deforestation.

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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.

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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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Discover how AI-powered apps can help modernize your life

Dataconomy

What is the best artificial intelligence app, and what does it offer? Artificial Intelligence (AI) is one of the most well-known and renowned technologies of our time. It enables machines and applications to accomplish tasks more effectively and accurately than ever before. This game-changing technology may automate procedures, tackle complex.

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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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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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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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A privacy-driven ecosystem for a sustainable data economy

Dataconomy

Data governance is a fundamental concept that must be addressed globally as data resources become increasingly essential in today’s world. However, there are several problems with data governance, including uneven data rights and conflicting interests between the players in the data economy. The regulations for how governments and businesses gather.

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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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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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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 […].

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How to manage the machine learning lifecycle?

Dataconomy

What is the machine learning lifecycle represent? Automatically learning without being pre-programmed is possible thanks to machine learning. But what exactly is a machine learning system, and how does it work? So, it is classified as a machine learning life cycle. The machine learning life cycle is a cyclical process.

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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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Global warming bike path

FlowingData

The @LpzfuersKlima team have completed painting a giant representation of the Warming Stripes on the Sachsenbrücke in Leipzig, thanks to crowd funding. Already starting conversations for those using the bridge. #ShowYourStripes pic.twitter.com/OFY9Jeq1zH. — Ed Hawkins (@ed_hawkins) April 27, 2022. It amazes me how many places in the world Ed Hawkins’ Warming Stripes appears.

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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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AI drives the Industry 4.0 transformation

Dataconomy

Artificial Intelligence in Industry 4.0 enables companies to manufacture, enhance and distribute their products in revolutionized new ways. Welcome to the era of so-called dark factories! Manufacturers are integrating new technologies into their manufacturing facilities and operations, including artificial intelligence and its subdomain machine learning, as well as the Internet.

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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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Scale of atoms

FlowingData

I’ll probably never tire of these sort of videos. It starts at human scale and then zooms in closer and closer until it gets to quarks. Tags: atom , CERN , scale.

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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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UK regulators are calling for views on algorithmic processing and auditing

Dataconomy

The UK’s digital watchdogs are seeking views on algorithmic processing and auditing, as well as areas of common interest between the organizations, in order to simplify and shape future cooperation. Benefits and harms of algorithmic processing are being discussed The Digital Regulation Cooperation Forum (DRCF) was formed in July 2020.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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What I Learned from Executing Data Quality Projects

The Data Administration Newsletter

Getting to great data quality need not be a blood sport! But there must be a method to the madness, and you need to be persistent and properly involve relevant stakeholders to achieve long lasting improvements. This article aims to provide some practical insights gained from enterprise master data quality projects undertaken within the past […].

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3 Steps for Harnessing the Power of Data

KDnuggets

Even though data is now produced at an unprecedented amount, data must be collected, processed, transformed, and analyzed to harness its power. Read more about the 3 main stages involved.

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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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What is the future of healthcare data security?

Dataconomy

The healthcare industry, like many sectors, is undergoing a substantial data-driven transformation. New technologies like telehealth platforms and the internet of things (IoT) generate more granular medical data and make it more accessible. While this has many benefits, it also raises considerable healthcare data security concerns. There were 714 healthcare.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.