Data Scientists Archive

A Comparative Study between R and Python for Text Data Processing

Data wants to change its form to useful information! Internet and interconnectivity of devices lead to the generation of data at a very high rate every day. But, this generated data itself is not useful (data doesn’t

Software Quality Assurance and Machine Learning

Software Testing is a process of verifying and validating whether a software application is Bug-Free and built according to the requirements. Machine Learning, on the other hand, is an area where the algorithms receive the data and

Scala for Big Data Engineering

Data Science as we all know is a combination of statistics and real-world programming. Data Scientists use a number of programming languages to extract insights and value from the data, with Scala, Python and R being the

Understanding Reinforcement Learning by solving Rubik’s Cube

By now, you must have become familiar with Reinforcement Learning along with buzz words such as environment, agent, policy, goal, and episode. We discussed this in detail in our previous blog, understanding it better with a simple

Statistical Techniques for every Data Science learner

This is an introductory article about the statistical aspects of data science. In this article, I will give a general overview of data science problems and the statistical techniques required to solve them. Some of the terminologies

Facial Emotion Recognition for Classroom Video Analytics

Facial Emotion Recognition is the process of identifying human emotions from faces. It is one of the most applied concepts of computer vision and artificial intelligence. Classroom video emotion recognition, in this context, is very important for

Reinforcement Learning: Understand with a Simple Game

Reinforcement learning is an important type of Machine Learning where an agent learns how to behave in an environment by performing actions and seeing the results. It seeks to create intelligent agents that adapt to the environment

Soft Skills Enhancement for Data Scientists

Since inception INSOFE has been assiduous about transforming students into a well-rounded Data Scientist. In a real sense, the function of a Data Scientist is to provide a clear understanding of an organization’s business objectives and solutions

Making machine Understand Natural Language better with BERT

BERT stands for Bidirectional Encoder Representations from Transformer. It is a substantial addition to the league of various approaches dealing with finding a solution to understand the context in a natural language- the way humans perceive. The

All you need to know about Attention

Attention Mechanism in deep learning has led to major performance improvements both in NLP and computer vision. All sequence models now implement attention resulting in state-of-the-art architectures. Let’s try to understand the evolution of attention mechanism.