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 amount of its increase, and even its diversity and multiple forms. According to a report by IBM, the world since 2012 to the present day …
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 all data collected by Google or Facebook? What makes data big data? Wikipedia writes the following about this: Big data is used when one or …
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, it seeks to understand and automate tasks that the human visual system can do. Computer vision means when we consider image-based information (even video) as …
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 the different roles of each member of the team. Data Analyst: A data analyst is someone who scrutinises information using data analysis tools. The meaningful …
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 may be due to variability in the measurement or it may indicate experimental error; the latter are sometimes excluded from the data set. We need …
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 instance do you want to recommend products to clients or you want to predict the price of Cryptocurrency. Data collection: Data collection is the process …
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 especially well suited to machine learning, data analysis and education. Google Colaboratory is a platform built on top of the Jupyter Notebook environment, It provides …
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 want to perform deep learning tasks easily. The tool allows us to perform tensor computations with GPU acceleration. It\\\’s also used for other tasks for …
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 refers to doctors and hospitals accessing vast data sets of potentially life-saving information. This includes treatments and their outcomes, rate of survival, and speed of …
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 images. By using visual elements like charts, graphs and maps. Data visualization tools provide an accessible way to see and understand trends, outliers, and patterns …
