Sat.Jun 18, 2022 - Fri.Jun 24, 2022

How Data Annotation is Important to Retail’s AI Adaptation

DataFloq

AI is expanding in every industry, especially in retail , where experts estimate that spending on AI will be $12 billion by 2023. They projected the retail industry to grow from 23.6 trillion U.S. dollars in 2018 to around 26.7 trillion U.S. dollars by 2022.

Understanding Loss Function in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The loss function is very important in machine learning or deep learning.

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Data Science Career: 7 Expectations vs Reality

KDnuggets

Let’s get into some of the expectations of data scientists – and the reality they face. KDnuggets Originals Career Advice

Domo Enables Real-Time Collaboration for Analytics

David Menninger's Analyst Perspectives

Organizations are constantly trying to streamline and optimize business data to solve complex problems and identify opportunities to increase revenue and accelerate business growth.

Build Your Open Data Lakehouse on Apache Iceberg

Speaker: Veena Vasudevan and Jason Hughes

In this webinar, Dremio and AWS will discuss the most common challenges in data architecture and how to overcome them with an open data lakehouse architecture on AWS. Sign up now!

How to Deploy a Simple Master Slave Kubernetes Cluster on AWS Using Ubuntu

DataFloq

Introduction. Kubernetes is a container-based open-source orchestrator that allows easier management and scaling of both containers and virtual machines. It can be used as a standalone system or in conjunction with other cloud providers' offerings.

Most Frequently Asked Google Big Query Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Big Query is a serverless enterprise data warehouse service fully managed by Google. Big Query provides nearly real-time analytics of massive data.

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Using Data Analytics and QR Codes to Boost Your Marketing Strategy

Smart Data Collective

Data analytics technology has helped countless companies improve their marketing strategies. Global companies are spending over $3 billion a year on marketing analytics technology and this figure is growing over 12% a year.

Teaching the Ethics of Analytics

DataFloq

I've written about and given much thought to ethics and its relationship to analytics and data science. I even worked with O'Reilly Media to compile a book on the topic in 2020.

Is Adult Income Dataset Imbalanced?

Analytics Vidhya

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

Plotting and Data Visualization for Data Science

KDnuggets

In this article, we examine various types of plots used in data science and machine learning. KDnuggets Originals Data Science

A Practical Guide to Business Intelligence Governance

Speaker: Marius Moscovici, CEO Metric Insights & Mike Smitheman, VP Metric Insights

This presentation will provide a practical step-by-step guide for implementing effective BI governance and a toolkit for addressing the three critical aspects of any program.

AI Helps Mitigate These 5 Major Supplier Risks

Smart Data Collective

Artificial intelligence is driving a lot of changes in modern business. Companies are using AI to better understand their customers, recognize ways to manage finances more efficiently and tackle other issues. Since AI has proven to be so valuable, an estimated 37% of companies report using it.

Risk 97

7 Ways Companies Can Predict Consumer Behaviours

DataFloq

Can you predict how many units you'll sell each day? You might get close but never be exact in your prediction. The same goes for predicting consumer behaviour. You can have many assumptions, but it never means you'll always be right!

Differences Between Web 2.0 and Web 3.0

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction If you have been paying close attention to the blockchain industry, then you have undoubtedly been familiar with the words “Web 2.0” ” and “Web 3.0.”

Why You Need To Learn More Than One Programming Language!

KDnuggets

Will your skills get outdated if you survive on one programming language for your career? Read on to find out. KDnuggets Originals Programming

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Best Practices to Model Carbon Costs in Supply Chain Network Design

How to model carbon costs in your supply chain design? Make conscious choices by comparing scenarios indicating at which points in the supply chain carbon emissions occur and achieve the right balance between sustainability and cost.

Migrating to the cloud? Follow these steps to encourage success

Smart Data Collective

Enterprise cloud adoption increased dramatically during the COVID-19 pandemic — now, it’s the rule rather than the exception. In fact, 9 in 10 companies currently use the cloud in some capacity, according to a recent report from O’Reilly.

Corporate Data Backup: Benefits and Best Practices

DataFloq

As data continues to grow exponentially, the responsibility of protecting it becomes more challenging. According to Statista , cyber incidents such as ransomware and IT failures are the leading threats facing businesses all around the world in 2022.

Multi-Table Analysis with MYSQL

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction on MYSQL In this article, we will see how to work with multiple tables. Learning SQL is very important nowadays. It is a very popular technology that most companies are using.

Comprehensive Guide to the Normal Distribution

KDnuggets

Drop in for some tips on how this fundamental statistics concept can improve your data science. KDnuggets Republished Data Science

7 Winning Lead Generation Strategies to Drive Growth

As B2B companies pivot to keep pace with a quickly changing marketplace, a data-centric approach to lead generation can be the difference between remaining competitive or being left behind. Get real-world examples and inspiration from leading B2B businesses in this whitepaper.

Why Big Data is Creating a Big Market for NFTs

Smart Data Collective

Big data technology has led to some other major technological breakthroughs. We have talked in detail about applications of big data in marketing, financial management and even the criminal justice system.

Are data sharing agreements legally binding?

DataFloq

Data sharing agreements are legally binding contracts that are usually drawn up between data collectors and data recipients. What are Data sharing agreements?

Data Visualisation: Alluvial Diagram vs. Sankey Diagram

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Most people tend to have a very minimal set of information about Alluvial and Sankey diagrams. The reality is that the two diagrams have superficial similarities to each other.

Super Study Guide: A Free Algorithms and Data Structures eBook

KDnuggets

Check out Super Study Guide: Algorithms and Data Structures, a free ebook covering foundations, data structures, graphs, and trees, sorting and searching. KDnuggets Originals Data Science

Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

Solving complex business problems requires optimization modeling techniques and data to compare scenarios and make the best decisions. With AIMMS you can rapidly build an optimization app on top of your data and deploy it to the end-user in just a few clicks.

Automotive Industry Uses Analytics To Solve Pressing Supply Chain Issues

Smart Data Collective

The automotive industry is struggling to meet demand as a growing supply chain shortage cripples the global economy.

How Technology is Saving Our Planet In A Way We Never Expected

DataFloq

The Earth is the only planet in our solar system that has life on it, and humans are playing a large part in how our planet looks.

Which is better? Bitcoin Vs Ethereum

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will see the two main cryptocurrencies, Bitcoin and Ethereum. Let us learn about them. What differences do they have and which coin is best for investment and what makes that particular coin better.

Market Data and News: A Time Series Analysis

KDnuggets

In this article we introduce a few tools and techniques for studying relationships between the stock market and the news. We explore time series processing, anomaly detection, and an event-based view of the news.

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!

Parallel Computing with Dask: A Step-by-Step Tutorial

Domino Data Lab

It’s now normal for computational power to be improved continuously over time. Monthly, or at times even weekly, new devices are being created with better features and increased processing power. However, these enhancements require intensive hardware resources.

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Why Are Big Companies Using Microsoft Power BI

DataFloq

The evolution of technology and the web has cast a deep impact on the business landscape across the world. Nowadays, businesses are relying a lot on digital technologies and numerous online tools to cater to customer needs better and stay ahead in the race.

Top 10 Web 3.0 Technologies that will Shape our Future World

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The internet has come a long way since Web 1.0. Hypertext Markup Language (HTML) defines the layout and delivery of websites in Web 1.0 and Web 2.0 technologies. With Web 3.0,

Top Posts June 13-19: 14 Essential Git Commands for Data Scientists

KDnuggets

Also: Decision Tree Algorithm, Explained; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know; Primary Supervised Learning Algorithms Used in Machine Learning. KDnuggets News News

Data Value Scorecard Report

This report examines the quantitative research of data leaders on data value and return on investment.