In-memory Data Grid vs. Distributed Cache: Which is Best?

Distributed caching has been a boon for IT professionals in the past due to its ability to make data always available even when offline. However, with the growing popularity of the Internet of Things (IoT) and the increasing amounts of data businesses need to process daily, distributed caching is slowly being overshadowed by a newer […]

5 Data Privacy Predictions for 2021

2020 has been a significant year for data management. As businesses face new technological challenges amid the COVID-19 pandemic, issues of privacy have spent some time in the spotlight. In response, data privacy could see some substantial changes in 2021. Few people will emerge from 2020 with an unchanged perception of data security. As these […]

Data Science in Engineering Process - Product Lifecycle Management

How to develop digital products and solutions for industrial environments?

In this article, we substantiate why Data Science and Engineering should be introduced as new engineering discipline in the Product Lifecycle Management process.

Test-data management  support in Test Automation Development

Data is centric in testing of several applications because data is critical to organizations. Businesses are becoming more data-driven, and hence it is imperative that as Automation Test developers, the value of the test-data is understood and  completely harnessed during Test Automation development. The test-data involved in both Manual/Automation testing encompasses the test-data inputs, test-data […]

Simple RNN

LSTM back propagation: following the flows of variables

First of all, the summary of this article is: please just download my Power Point slides which I made and be patient, following the equations. I am not supposed to use so many mathematics when I write articles on Data Science Blog. However using little mathematics when I talk about LSTM backprop is like writing […]

Hypothesis Test for real problems

A statistical hypothesis is a belief made about a population parameter. This belief may or might not be right. In other words, hypothesis testing is a proper technique utilized by scientist to support or reject statistical hypotheses. The foremost ideal approach to decide if a statistical hypothesis is correct is examine the whole population.

Must-have Skills to Master Data Science

The need to process a massive amount of data sets is making Data Science the most-demanded job across diverse industry verticals. In today’s times, organizations are actively looking for Data Scientists. But What does a Data Scientist do? Data Scientist design data models, create various algorithms to extract the data the organization needs, and then […]

Simple RNN

Understanding LSTM forward propagation in two ways

*This article is only for the sake of understanding the equations in the second page of the paper named “LSTM: A Search Space Odyssey”. If you have no trouble understanding the equations of LSTM forward propagation, I recommend you to skip this article and go the the next article. 1. Preface I  heard that in […]

Data Science – A Beautiful Data Driven Journey

Data Science is a profession related to processing algorithms and extracting deep insights from raw data. It depicts the importance of data and how it can be used in business and to make IT strategies. For recognizing the new ventures available in the market, identifying the patterns and to make better business decisions, data science […]

How Data Science Can Benefit Nonprofits

Image Source: https://pixabay.com/vectors/pixel-cells-pixel-creative-commons-3704068/ Data science is the poster child of the 21st century and for good reason. Data-based decisions have streamlined, automated, and made businesses more efficient than ever before, and there are practically no industries that haven’t recognized its immense potential. But when you think of data science application, sectors like marketing, finance, technology, […]