What is Big Data?
The term 'big data' is known as a large and diverse group of information that is growing increasingly, and this includes its increasing size and speed in addition to the Read More >>
Commonly used terms in Data Analytics
1. Big Data: Everyone talks about the term Big Data. But what is Big Data? Is it an 80 Mb Excel sheet with questions from a survey, or is it Read More >>
What is Computer Vision?
According to Wikipedia, Computer vision is an interdisciplinary scientific field that deals with how computers can gain a high-level understanding from digital images or videos. From the perspective of engineering, Read More >>
The Data Team
The data team consists of a lot of professionals which include data analysts, data engineers, product managers, data scientists and machine learning engineers. In this article, I will explain Read More >>
Identifying Outliers in Data
Outliers simply refer to observations that are unlike other observations in a dataset. According to Wikipedia, An outlier is a data point that differs significantly from other observations. An outlier Read More >>
LifeCycle of a Data science project
Definition of the problem statement: This is the first step in a data science project. It’s a brief description of the kind of problem you are trying to solve. For Read More >>
Platforms to practice Machine Learning skills
Google Colab: Google Colaboratory or “Colab” for short, is a product from Google Research. Google Colab allows anybody to write and execute arbitrary python code through the browser, and is Read More >>
Python Framework for Data Science
There are several python frameworks for data science. In this article, we will examine the popular ones. PyTorch: PyTorch is a framework that is perfect for data scientists who Read More >>
AI is transforming the Health sector
It’s no longer fiction that artificial intelligence is transforming healthcare, Just like in our every-day lives, AI and robotics are increasingly a part of our healthcare ecosystem. AI in healthcare Read More >>
Data Visualization and It’s importance
Data visualization is essential to analyze massive amounts of information and make data-driven decisions. Data Visualization involves producing images that communicate relationships among the represented data to viewers of the Read More >>