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Month: December 2019
Big Data Analytics is transforming the industries and organizations, and businesses are adopting it fully to go beyond the traditional ways of analysis. Currently, Big Data Analytics is making some remarkable changes in the decision-making landscape of business. It is reflecting business performance, providing actionable market and customer insights, and helping business leaders in making … Continue reading 8 Top Big Data Analytics Trends That Will Dominate 2020
DATA : It can be any unprocessed fact, value, text, sound or picture that is not being interpreted and analyzed. Data is the most important part of all Data Analytics, Machine Learning, Artificial Intelligence. Without data, we can’t train any model and all modern research and automation will go vain. Big Enterprises are spending loads … Continue reading ML – Introduction to Data in Machine Learning
Nowadays many misconceptions are there related to the words machine learning, deep learning and artificial intelligence(AI), most of the people think all these things are same whenever they hear the word AI, they directly relate that word to machine learning or vice versa, well yes, these things are related to each other but not the … Continue reading Artificial intelligence vs Machine Learning vs Deep Learning
There is no universal agreement on what “Data Mining” suggests that. The focus on the prediction of data is not always right with machine learning, although the emphasis on the discovery of properties of data can be undoubtedly applied to Data Mining always. So, let’s begin with that: data processing may be a cross-disciplinary field … Continue reading Relationship between Data Mining and Machine Learning
This blog represents a high level view of career opportunities that are existing in the Big Data Domain and basic skill requirements.Some of the designations and responsibilities are mentioned here. Role – Data Scientist The big data scientist needs to be familiarized with some of languages among Python, R, Java, Ruby, Clojure, Matlab, Pig or … Continue reading Career Opportunities in Big Data
A data warehouse is built to support management functions whereas data mining is used to extract useful information and patterns from data. Data warehousing is the process of compiling information into a data warehouse. Data Warehousing: It is a technology that aggregates structured data from one or more sources so that it can be compared … Continue reading Difference between Data Warehousing and Data Mining
Big data and cloud computing are the trending terms in the information technology (IT) world. The terms have also grown popular among business owners who are willing to take advantage of technologies to expand their businesses. However, big data and cloud computing are also some of the most confused terms in IT. Big Data Big … Continue reading What is the difference between big data and cloud computing?
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