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Why MapReduce Is Still A Dominant Approach For Large-Scale Machine Learning

Google stopped using MapReduce as their primary big data processing model in 2014. Meanwhile, development on Apache Mahout had moved on to more capable and less disk-oriented mechanisms that incorporated the full map and reduce capabilities. Google itself led to…

Why Sports Analytics Is More Than Just A Numbers Game

Sports over the years have become extremely competitive — today, the scenarios are so intense that a minute can completely flip the course of a game. And in order to stay one step ahead of the rivals, sports teams are…

Data Science And The Art Of Influencer Marketing

Gone are the days when social media was just about sharing photos, chatting or connecting with long lost school friends. Today, social media has become a go-to platform for brands and businesses seeking effective marketing. For example, Instagram has evolved…

5 Data Visualisation Books Every Beginner Must Refer To

Across all industries, the implementation of BI tools has becoming increasingly important. One of the reasons for a data analyst to be the most successful is his/her knowledge of exceptional data visualisation skills. In this article, we list down 5…

How Indian Police Is Tapping Into Data Analytics To Prevent Crime

In today’s world of extensive crime, fighting crime is a major concern. With data analytics, we could see crime epidemics reduce to a large scale. It is proving to be a valuable tool in the arsenal of law enforcement officials…

How Analytics Is Ushering In A Smart Weather Forecasting Industry In India

Data offers a crucial advantage for any kind of forecasting. One such applications where data analysis is of use is for weather forecast. Importance Of Data In Weather Data analytics can give us plenty of information about disasters and help…

Analysing The Difference Between Data Architecture & Information Architecture

There is a popular misconception surrounding data architecture and information architecture regarding the similarities between the two. They have very blurred lines between them. It is important to recognise the difference between the two for teams dealing with data in…

How Deep Tech Startup Eder AI Is Building AI Solutions With Protected Privacy

Applying any machine learning technique requires huge amounts of data. And with the human-machine interaction on the rise in speech technologies, chatbots and photo gallery organisers, among others, there is an immediate need to protect the privacy of the data…

How Core AI Startup KENOME Is Helping Companies Derive Business Value Out Of Unstructured Data

Businesses generate a lot of dark data — unstructured data in the form of customer communications, employee emails, presentations, manuals, maintenance and research notes, etc. Enterprise-relevant data is also present on the Web in the form of blogs, social media…

The Secret To Unlocking A Scalable Database Architecture

The IT industry has always been in the need for highly scalable systems. Over almost a decade now, the industry has experimented with different things and came up with many things to learn in the process. It does the job…

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