Data Science is a huge field in which people are hyped to get a job in. However, if you have a look at the job postings, you’ll see a lot of varying terminologies like Data Scientist, Data Analyst, Data Engineer, and Machine Learning Engineer. In this article, we’re going to

Introduction Data Science is one of the most exciting fields of the 21st century. The power to understand human voices, recognize faces, understand text, and much more has vast applications across industries. In this article, we’re going to define some of the most important terms in more detail. This is

Before writing about real-world applications, let’s get a better understanding of Machine Learning first. Machine Learning (ML) is a field of Artificial Intelligence (AI). The idea is that a computer program can learn and adapt to new data without human interference. But what’s the difference between Machine Learning and Artificial Intelligence?

Introduction For a growing number of people, data science is a central part of their job. Increased data availability, more powerful computing, and an emphasis on analytics-driven decision in business has made it a heyday for data science. According to a report from IBM, in 2015 there were 2.35 million openings

First, what does Data Science actually mean? It is a field of Big Data and seeks to provide meaningful information and insights from large amounts of complex data. Data Science combines statistics and computation in order to interpret data for solving business problems and making better decisions. Companies in industries