Introduction Technological progress and the development of infrastructure has increased the popularity of Big Data immensely. Businesses have started to realize that data can be used to accurately predict the needs of customers which can increase profits...
The Role of Data Curation in Big Data
Introduction Good data management practices are essential for ensuring that research data are of high quality, findable, accessible and have high validity. You can then share data ensuring their sustainability and accessibility in the long-term, for new research and...
What is the Difference Between: Data Science, Data Mining and Machine Learning
The advancement in the analytical eco-space has reached new heights in the recent past. The emergence of new tools and techniques has certainly made life easier for an analytics professional to play around with the data. Moreover, the massive amounts of data that’s...
What is the Difference Between Hadoop and Spark?
Hadoop and Spark are software frameworks from Apache Software Foundation that are used to manage ‘Big Data’. There is no particular threshold size which classifies data as “big data”, but in simple terms, it is a data set that is too high in volume, velocity or...
Machine Learning for Transactional Analytics
Machine Learning is the latest buzzword in the analytical eco-space. The idea was there before as well but its usage has largely increased in recent times due to the enormous amounts of data that is available and the huge computational capacity of the modern...
Analyzing Big Data with Spark and Amazon EMR
Introduction Apache Spark has become one of the most popular tools for running analytics jobs. This popularity is due to its ease of use, fast performance, utilization of memory and disk, and built-in fault tolerance. These features strongly correlate with the...
A Guide to Predictive Analysis in R
Predictive analysis is heavily used today to gain insights on a level that are not possible to detect with human eyes. And R is an extremely powerful and easy tool to implement the same. In this piece, we will explore how we can predict the status of breast cancer...
Machine Learning Algorithms Every Data Scientist Should Know
Types Of ML Algorithms There are a huge number of ML algorithms out there. Trying to classify them leads to the distinction being made in types of the training procedure, applications, the latest advances, and some of the standard algorithms used by ML scientists in...
What is the Difference Between AI and Machine Learning
Artificial Intelligence and Machine Learning have empowered our lives to a large extent. The number of advancements made in this space has revolutionized our society and continue making society a better place to live in. In terms of perception, both Artificial...
Top 10 Big Data Tools in 2019
Introduction The amount of data produced by humans has exploded to unheard-of levels, with nearly 2.5 quintillion bytes of data created daily. With advances in the Internet of Things and mobile technology, data has become a central interest for most organizations....