Sat.May 07, 2022 - Fri.May 13, 2022

Create Efficient Combined Data Sources with Tableau


Save time and effort with this guide, which will show you how to do data join operations in Tableau. KDnuggets Originals Data Science

Top HR Tech Trends to Watch Out for in 2022


The year 2020 was turned the priorities of most HR leaders upside down as they encountered a global health crisis that led to their organizations facing new challenges one after another.


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Reversing the Video Using Computer Vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be working to develop an application from computer vision techniques that will reverse the video, and also, we will be able to save that reversed video in our local system.

5 things you need for financial reporting in the data decade (and how to get them)


How much time does your finance team spend collecting, sifting, and analyzing data? BI basics finance executive financial statements dynamic reporting data analytics budgeting and forecasting

How to Choose the Right Business Intelligence Vendor

How does your current BI vendor stack up against the competition? Who’s the perfect vendor for your business needs? Find out by downloading your complimentary copy today!

Impressive Ways that AI Improves Business Analytics Insights

Smart Data Collective

Did you know that global companies are projected to spend nearly $1.6 trillion on AI by 2030 ? The demand for AI services is growing due to the many powerful benefits it offers.

Importance of Monitoring and Debugging for Healthy Data Environments


In today's digital transformation era, data takes on the role of new oil. The number of companies and organizations that make decisions and take action based on data is increasing day by day. This situation brings with it both some advantages and disadvantages.

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Free University Data Science Resources


This is a list of FREE data science resources and notes that are available online, some of which are provided by universities. KDnuggets Originals Data Science

Data Analytics is Very Valuable for Companies Improving their Cultures

Smart Data Collective

Data analytics technology is rapidly becoming a more integral part of many company cultures. According to the 2021 State of Data Maturity Report, 32% of companies have formal data strategies. Although they are still the minority, this figure has risen from almost nothing under a decade ago.

How Big Data Certifications boost your career in data science


The global big data market size is expected to grow from USD 138.9 billion in 2020 to USD 229.4 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 10.6 percent. The big data industry is driven by continuous innovation.

Get to Know Apache Flume from Scratch!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Apache Flume, a part of the Hadoop ecosystem, was developed by Cloudera. Initially, it was designed to handle log data solely, but later, it was developed to process event data.

Cyber Security, Change Management and Enterprise Risk Management: Scaling Operations for Growth

Speaker: William Hord, Vice President of Risk Management and Compliance

Join us as we discuss the various tangents of data and the change management process that will help you make better risk-based business decisions to save time and money for your organization.

5 Free Hosting Platform For Machine Learning Applications


Learn about the free and easy-to-deploy hosting platform for your machine learning projects. KDnuggets Originals Machine Learning

The 4 Major Applications of Blockchain Technology

Smart Data Collective

The word ‘blockchain’ is more and more in use today, especially when it comes to cryptocurrencies. However, the applications of blockchain go beyond cryptocurrency networks. Applications of blockchain technology today aren’t restricted to the financial industry either.

The Present and Future of the Internet of Things


The general availability of information technologies and a significant change in our attitude to their presence allowed the rapid development of the Internet of things. During the last ten years, IoT has managed to penetrate almost all the spheres of our life.

Classification and Regression using AutoKeras

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on AutoKeras Automated Machine Learning (AutoML) is a computerised way of determining the best combination of data preparation, model, and hyperparameters for a predictive modelling task.

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!

Optimizing Hive on Tez Performance


Tuning Hive on Tez queries can never be done in a one-size-fits-all approach. The performance on queries depends on the size of the data, file types, query design, and query patterns. During performance testing, evaluate and validate configuration parameters and any SQL modifications.

Scaling Supply Chain AI to Offer Predictive Shipment Visibility


This blog is a guest post from our friends at Shippeo. They’re a global leader and European specialist in real-time transportation visibility, helping major shippers and logistics service providers leverage transportation to deliver exceptional customer service and achieve operational excellence.


Big Data Management in the Shipping Industry


Big Data in Shipping is the next big revolution. It is not for nothing that Big Data has taken businesses by storm globally. Big data has influenced sectors like finance, healthcare, banking, etc. It is now gearing up to influence the shipping industry too. But, what is big data?

Configure Jupyter Notebook On AWS In 2-Steps

Analytics Vidhya

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

The Benefits of Infused Analytics for SaaS Applications and Companies

If you want to be successful, you need the best technologies, and the best technologies come from having the best embedded partners. See how infused analytics can take your SaaS applications to the next level.

Data Mesh Architecture: Reimagining Data Management


The objective of data mesh is to establish coherence between data coming from different domains across an enterprise. The domains are handled autonomously to eliminate the challenges of data availability and accessibility for cross-functional teams. KDnuggets Originals Data Science

Ethical Considerations with Data-Driven Employee Monitoring

Smart Data Collective

There are many reasons big data has become a double-edged sword for businesses. One of the biggest examples is with employee monitoring. Many companies are using data analytics to monitor their employee productivity and other behavior.

Building a Data Platform: 7 Signs It’s Time to Invest in Data Quality


One of the most frequent questions I get from customers is: when does it make sense to invest in data quality and observability? My answer is, it depends. The reality is that building a data platform is a multi-stage journey and data teams have to juggle dozens of competing priorities.

An Introduction to Long Short-Term Memory (LSTMs)

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Dealing with sequential data is considered one of the hardest problems to solve in the Data science industry. Standard neural networks have paved a new path in the rising AI industry.

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.

Centroid Initialization Methods for k-means Clustering


This article is the first in a series of articles looking at the different aspects of k-means clustering, beginning with a discussion on centroid initialization. KDnuggets Originals Machine Learning

Promising Benefits of AI in the Financial Technology Market

Smart Data Collective

Artificial intelligence (AI) is all the rage now. It’s impacting numerous industries globally and changing the way we do things. One of the critical industries AI is making strides in is the financial technology “fintech” industry.

Collection and Collections: What is the Difference?


The difference between Collection and Collections is a crucial interview question for freshers and over time has been used to test the knowledge of the Java Collections Framework. Both are part of the java collection framework, but both serve different purposes.

A Comprehensive Guide GPU Acceleration with RAPIDS

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on RAPIDS How often has it happened that you had to wait for hours staring blankly at your screen, waiting for your ML Model to get trained? Quite often, I guess.

Start Taking Your Embedded Partnerships Seriously

Choosing the right embedded partner matters. See the many reasons why developers love Qrvey (and why you will too!) in this free PDF.

The Curse of Delayed Performance


Predict the performance of your model - before the ground truth is available. Products and Services Partners

How Big Data Analytics & AI Combined can Boost Performance Immensely

Smart Data Collective

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. Consumers are presented with ads every day they access the online world.

Developing an AI mobile App: Our Experience, Mistakes, and Achievements


Every Product Manager wishes that their app will change the lives of its users for the better. This was the case for me too when we just started working on the AI mobile app CountThis.

Apache Flume: Data Collection, Aggregation & Transporting Tool

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on Apache Flume Apache Flume is a platform for aggregating, collecting, and transporting massive volumes of log data quickly and effectively. It is very reliable and robust.

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.