Sat.Apr 02, 2022 - Fri.Apr 08, 2022

Learning Machines – How Artificial Intelligence Learns to Improve


Machine learning is a broad concept that applies to any artificial intelligence (AI) program that has the ability to self-modify. These programs may be able to perform error-detection without human intervention, and correct problems or bring them to the attention of a human technician.

Innovative Applications of Machine Learning in Healthcare Domain

Analytics Vidhya

This article was published as a part of the Data Science Blogathon.


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‘The key is the cloud’: How to keep up with the speed of innovation

CIO Business Intelligence

At DISH Network , cloud-adoption strategies vary by when the parts of its business started – from those born in the cloud to legacy sectors deploying cloud on an opportunistic basis. But one thing is clear to Atilla Tinic, the company’s EVP and CIO: “I do think the key is the cloud.”

DBSCAN Clustering Algorithm in Machine Learning


An introduction to the DBSCAN algorithm and its implementation in Python. KDnuggets Republished Machine Learning

The Essential Supply Chain Network Design Tooling Checklist

Dedicated supply chain network design software is fuelled by intuitive scenario analysis capabilities and powerful mathematical optimization. Answer 10 relevant questions to see if advanced network design & scenario modeling technology can help you.

How the Enterprise Metaverse Will Change Collaboration


While the pandemic brought fear, anger, despair, and grief to the world, it also drastically changed how we work. As soon as lockdowns happened worldwide, entire industries switched to remote collaboration without too much trouble, keeping the global economy afloat after the initial shock was over.

Building Vehicle Counter System Using OpenCV

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to build a vehicle counter system using OpenCV in Python using the concept of Euclidean distance tracking and contours.

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Logistic Regression for Classification


Deep dive into Logistic Regression with practical examples. KDnuggets Originals Machine Learning

IoT Data Analysis and Visualization Techniques!


IoT is one of the coolest trends that has been positively affecting every industry sector. Be it retail, industrial, or manufacturing , IoT is revolutionizing each one of them slowly and steadily.

IoT 207

Population Health Analytics with AWS HealthLake and QuickSight

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Healthcare Data using AI Medical Interoperability and machine learning (ML) are two remarkable innovations that are disrupting the healthcare industry.

What Are the Best Methods To Keep Online Data Safe?

Smart Data Collective

Although we’re only a few months into 2022, this year has already seen massive cyberattacks, huge ransomware payouts, and data breaches never witnessed before. On average, damages due to cyberattacks are growing by 15% per year, with a predicted total value of $10.5 trillion lost each year by 2025.

Omnichannel is Multichannel 2.0

Multichannel and omnichannel marketing are not the same. Many organizations are striving for omnichannel, but it can be a daunting journey—unless you have a map. Download your copy of the ultimate omnichannel guide today!

Naïve Bayes Algorithm: Everything You Need to Know


Naïve Bayes is a probabilistic machine learning algorithm based on the Bayes Theorem, used in a wide variety of classification tasks. In this article, we will understand the Naïve Bayes algorithm and all essential concepts so that there is no room for doubts in understanding.

Understanding the Difference Between Data Reliability and Data Validity


Data has become central to the success of any modern business, regardless of domain or industry. Despite this, data generated by electronic communication, connected devices, and cloud -based data systems are often underused by decision-makers and managers.

Data Science Blogathon 19th Edition

Analytics Vidhya

“The World is One Big Data Problem” – Andrew McAfee. Analytics Vidhya is back with its 19th Edition of the Data Science Blogathon which is live from TODAY! So the wait is over, click here to Register Now!

Search Engine Marketers Without Data Analytics Knowledge Are Obsolete

Smart Data Collective

Data analytics has led to a huge shift in the marketing profession. A large part of this is due to advances in digital marketing. Digital marketers have an easier time compiling data on customer engagements, because most behavior and variables can be easily tracked.

Common Use Cases for Mathematical Optimization

What is mathematical optimization and what are some of the most common use cases for across industries? How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions, and build more resilient supply chains? Find out in this guide.

SQL Window Functions


In this article, we’ll go over SQL window functions and how to use them when writing SQL queries. KDnuggets Originals SQL


COVID-19 Swiss vaccination analysis – a live app


A new live R Shiny application in our gallery: COVID-19 vaccination breakthroughs in Switzerland. In the past we had written a couple of articles (on 20/10/2021 and 06/12/2021 ) about the COVID-19 Vaccination breakthroughs in Switzerland with the promise to publish them periodically on our site.

Understand the Workings of Power BI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction BI tools, including software services, apps, and data connectors, make up the Microsoft Power BI portfolio. Data from many sources are combined into a single dataset in this cloud-based platform.

What Data Methods Can Businesses Invest In to Get Better Consumer Results?

Smart Data Collective

There is no doubt that big data is important in many organizations. Over 65% of large companies invested over $50 million in big data in 2020. That figure is growing faster in recent years. The word gets used so often that it’s become vague. You are talking about data, sure, but what kind of data ?

Put Your Data to Work: The Complete Playbook

Turn your data into a competitive advantage. This playbook contains: Exclusive stats, research & insights on how the pandemic affected businesses. A comprehensive “Request For Proposal” (RFP) checklist and an interactive quiz to test your data knowledge.

Uncertainty Quantification in Artificial Intelligence-based Systems


The article summarizes the plethora of UQ methods using Bayesian techniques, shows issues and gaps in the literature, suggests further directions, and epitomizes AI-based systems within the Financial Crime domain. KDnuggets Originals Artificial Intelligence

Key Differences Between Automation & Robotics


We live in a tech-driven world, but with all the technologies and innovative solutions at our disposal, it can be difficult to figure out what tech solutions are right for your business.

Recurrent Neural Networks: Digging a bit deeper

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the former article, we looked at how RNNs are different from standard NN and what was the reason behind using this algorithm.

AI Technology is Essential for Online Fraud Prevention

Smart Data Collective

Online fraud is growing at a frightening pace. Many cybercriminals believe they can con eCommerce stores out of their cash and never be caught because they are operating over the internet.

Guide to Mathematical Optimization & Modeling

What is mathematical optimization and how does it compare to other types of analytics? Which tool should you use to develop optimization applications and scale them across the business? What are best practices for successful adoption? Read now.

Data Science Interview Guide – Part 1: The Structure


According to one source, the types of questions that will generally be asked in data scientist interviews can be broken down into five categories. Let's take a closer look. KDnuggets Originals Career Advice

5 Key Components of a Data Sharing Platform


Increasingly, companies are focused on finding ways to connect to new and valuable sources of data in order to enhance their analytical capabilities, enrich their models, or deliver more insight to their business units.

Exploratory Data Analysis (EDA) in Python

Analytics Vidhya

Introduction Exploratory Data Analysis is a method of evaluating or comprehending data in order to derive insights or key characteristics. EDA can be divided into two categories: graphical analysis and non-graphical analysis.

Data Professional Introspective: What Good Data Look Like – Part 5

The Data Administration Newsletter

Let’s assume this scenario — Your organization has conducted an EDM Assessment. You now have detailed knowledge of your data management strengths, accomplishments, and capability gaps.

The Retailer’s Guide to Marketing Data

Retailers are faced with extraordinary challenges – from changing consumer needs to unpredictable twists & turns in the economy. Learn how innovative retailers use zero-, first-, second-, and third-party data to find their best customers and drive repeat purchases.

4 Factors to Identify Machine Learning Solvable Problems


The near future holds incredible possibility for machine learning to solve real world problems. But we need to be be able to determine which problems are solvable by ML and which are not. KDnuggets Originals Machine Learning

Top 5 Benefits of a Career in Big Data Science


There has been an upswing in big data science careers as businesses across the globe are realizing how crucial big data science and analytics is for their business growth. The benefits of a career in data science make this field one of the most preferred career paths for youngsters. .

An Introduction to Creating Stylized Sketches of Faces using JojoGAN

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Style transfer is a developing field in neural networks and it is a very useful feature that can be integrated into social media and AI apps.

AI Optimization Increases Amazon Sales

The Data Administration Newsletter

Even pre-pandemic, Amazon was an ecommerce giant like no other. You could find practically anything on the platform and have it delivered straight to your door. Cut to a nearly-post-pandemic reality, and Amazon has become bigger and more competitive than ever.

Implementing Supply Chain Network Design

Companies want to maximize service levels, but they also want to cut costs. These goals are often at odds with one another. How do you find the optimum balance? This guide offers hands-on advice that will help you use network design to achieve successful results.