PGPDM in Data Science and Machine Learning

The term deep learning brings up several questions in the mind of those people who have never heard or worked using this technology. What is it, what benefits can it bring to tech-driven companies, and what is its technical background? As a subset of artificial intelligence (AI), deep learning stands strong behind several enthralling innovations including self-driving cars, image recognition, voice recognition, and more. You might know that this powerful technology has covered multiple facets of human lives. Over the past few years, deep learning has started grabbing enormous attention and for good reason. Today, it is achieving results that were not even imaginable before. If reports of the Fortune , are to be believed, startups primarily focused on AI had raised around $7.5 billion in the second quarter of 2016. Such huge interest in both artificial intelligence(AI) and deep learning technologies is based on their advantages. So, let’s try to understand what exactly deep...

By the time we reach 2020, we will be producing 50 times more data than we were producing in 2011. Considering this, it is obvious that we need more data scientists who can analyze and evaluate data and create insights from it to drive business growth. Since the time “Data Scientist” was ranked as the hottest job of the 21st century by the Harvard Business Review, coupled with alluring paychecks, there has been a significant rise in demand for data-savvy enthusiasts in several businesses, nonprofit organizations, and public enterprises.  So if you are planning to become a data scientist, but wondering from where to begin, you’ve landed at the right place at the right time. Here is a complete guide to becoming a data scientist. Important Steps You Should Follow to Become a Data Scientist #1 Brush Up Your Skills in Mathematics and Statistics You might know that statistics and probability tools are required in every predictive analysis, since mathematics and statistics ar...

Today, our economy is inclined more towards big data, data science, and data analytics, since companies have been producing a huge amount of data every day. According to LinkedIn, there is an incessant demand for professionals who can interpret and mine humongous data sets. These are called data scientists.   What is a Data Scientist? Data scientists are a blend of computer scientists, mathematicians, and trend-spotters. The role of a data scientist is to decode humongous data sets and carry out further analysis to spot the latest trends in the data. The goal is to gain meaningful insight into what it all means. Data scientists operate somewhere between the IT world and business, and drive business enterprises by monitoring, analyzing and evaluating complex datasets to gain insights that businesses can leverage into result driven actions. What Data Science Roles are Out There? Here are some common job titles for data scientists: 1. Data Mining Engineer A Da...