Big Data Is Changing Enterprise Information Technology
As the digital age has evolved, the amount of information transmitted and received daily has also increased. From this the term ‘big data’ has emerged – a name coined to describe the high volume of data obtained and recorded from a diverse variety of sources. It represents a lot of opportunities for enterprise IT; however, […]
Read MoreWhat Is The Aim Of Factor Analysis Of Python
Python is one of the easiest and most user-friendly codes that can be written by coders. Factor analysis of python is one of the popular methods of discovering underlying factors and latent variables in data. What do I mean by latent variables? Let’s find out. Say we have a dataset with 6 variables- Age Weight […]
Read MoreHow is Big Data Transforming the Video Game Industry?
Introduction To Big Data In Gaming Industry Let’s start with some figures. Do you know that almost 2.5 billion people play video games across the world as per some reports? The global video game industry is supposed to surpass $159 billion by 2020. In 2019, mobile games made up around 60% of the global gaming […]
Read MoreModern Big Data Architecture – The Beginning Of Modern Technology
Modern Big Data is fast changing the world with its rapid pace and seamless usage it offers to the users. As we read in Part-1 and Part-2 of this 3 part series on Big Data. It has come a long way from its inception way back from the 1600s to recent modern-day Big Data.
Read MoreAnalyzing Vero Moda Fashion Product Data
The fashion industry is rapidly evolving and increasingly relying on data to better align itself with consumer preferences, analyze competitors, and improve product strategy. Many boutique agencies are already working on fashion data analysis to cater to the growing demand for data-driven decision making by fashion brands and marketplaces. This post presents the visualizations created […]
Read MoreThe Definitive Guide to Data Labeling for Machine Learning
Data for most machine learning projects are collected through multiple sources such as data scraping, getting people to fill survey forms, etc. Usually, a high percentage of this data is unlabelled or mislabelled. By unlabelled data, here we are referring to data which has not been tagged with labels specifying their characteristics, classification or properties. […]
Read MoreGilling – The Automated Decision Intelligence
We all make decisions at every point of the daily life, and the same goes for companies as well. Ever thought of making the right decisions easily and swiftly? Here is a company — Gilling that works on improving the decision-making process. Not only that…
Read MoreData Trends in Fashion Industry
Data Trends in the fashion industry plays a vital role and is used to drive decisions and strategy that generate sales, gain a better understanding of customers, and boost overall profit. Fashion designers and companies use data on a daily basis run a successful fashion business. However, the commonly perceived data used by fashion designers […]
Read MoreDifference between Data Profiling and Data Mining
While data mining is a trending topic in today’s world of machine learning, web scraping, and artificial intelligence; data profiling is a relatively rare topic and a subject with a comparatively lesser presence on the web. Thinking about what is the difference between data profiling and data mining? Well, data mining refers to finding patterns […]
Read MoreTop 15 APIs and Data Sources for Machine Learning and AI – PromptCloud
Machine Learning or artificial intelligence are the buzzwords of our time. Upon hearing one, our mind conjures up self-driving cars, robots that can help us in our day to day life or terminators taking over the world. While all three are possible, most machine learning applications are much simpler, for example, identifying cancerous cells, or […]
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