Introduction AI is revolutionizing the world. Face recognition is one such spectrum of it. Almost most of us use face recognition systems. They are everywhere. One can find them in devices like our mobile or platforms like Facebook or applications like Photo gallery...
Visualization Techniques for Datasets in Big Data
Introduction Data visualization is an important component of many company approaches due to the growing information quantity and its significance to the company. In this blog, we will be understanding in detail about visualisation in Big Data. Furthermore, we will be...
Difference Between the Data Scientist and Statistician
Introduction The growth of data and its generation speed has been increasing exponentially since the last decade. According to reports, more than 3 quintillion bytes of data is generated per day! This has resulted in the formation of totally new and versatile...
How to Write a Spark Application in Scala
Introduction One of the most difficult tasks in Big data is to select an apt programming language for its applications. Most data scientists prefer R and Python for all the data processing and all the machine learning tasks whereas for all the Hadoop developers, Java,...
Artificial Intelligence – Accelerate the Power with Neural Networks
Neural Networks, the buzzword of the date were in fact invented in the mid-1900s. The algorithm that trains a neural network, called the backpropagation algorithm was formulated by the famous Geoffrey Hinton in the 1960s. So why do you hear about it now? Because we...
Your First Step in Machine Learning with R
Machine Learning is the study of statistics and algorithms which help computers to arrive at conclusions without any external guidance, solely depending upon recurring trends and patterns in the available data. Machine Learning follows various techniques to...
Methods to Manage Amazon Spark Application Memory on Amazon EMR
It is said that most of the modern-day data have been generated in the past few years. The advancement in technology and the growth of the internet is the source of such voluminous unstructured data which is rapidly changing the dynamics of our daily lives. No...
Is Programming knowledge Required to Pursue Data Science?
The term ‘Data Science’ has become a buzzword in the past couple of years. A lot of people who work in various domains such as IT and Business wants to make a shift to this new career option. Even people with a lot of experience as much as 15 years want to make a...
Is Data Scraping One of the Most Demanded Skill in Data Science?
Imagine every living and non-living entity hooked to the internet, generating bits of information as long as connectivity is maintained. This generation of small bits is a vital sign to deduce if the entity is active or inactive in the wide global network...
Top 5 Statistical Concepts for Data Scientist
Introduction Data science is a comprehensive blend of maths, business and technology. One has to go from data inference to algorithm development and then all the way to use available technology to draw the solutions for complex problems. At its heart, all we have is...






