PGPDM in Data Science and Machine Learning

Leading studies predict that the Deep Learning market is likely to exceed $20 billion by 2024, growing at a compounded annual growth rate of 4 per cent. Deep learning algorithms are more likely to become more sophisticated with passing time thereby possessing the ability to take huge amount of data generated from audio, video and images and process them to make business-friendly predictions. Deep Learning will be strongly associated with modern online services where organizations will use their predictive capabilities to provide more customised offerings to their audiences around the world. In the following paragraphs we look at top 5 Deep Learning trends that are most likely to dominate the coming year. Training dataset bias and its impact on AI It is natural for human bias to creep into a majority of decision making models. The difference and variability of algorithms dealing with AI is significantly impacted by the inputs that they are fed. Data scientists are of the opin...

From cell - like cubicles to now working with artificial bots, automation has made tremendous gains in the past few years and has changed the entire concept of how the modern generation works. Artificial Intelligence (AI) and Machine Learning (ML) are all set to define the workplace and work culture of tomorrow. Rapid technological advancements in recent times have led to the generation of huge amounts of data. With ever expanding digitization, the datasets keep expanding too.   The idea that fascinates all data scientists is how this data can be harvested using AI and ML. In the following paragraphs, we shall look at some of the important trends that will shape the future of data analytics in not too distant a future. Augmented Analytics This is a technology that basically makes use of machine learning to automate data preparation and presentation. Data scientists are interested in making use of augmented analytics in conjunction with human intelligence to generate pr...

Data science may have become a popular buzzword in the past few years, but its existence can be traced back to the late 1990s. As more and more businesses are transforming into data-driven enterprises, the demand for data science professionals is increasing at an exponential rate. Today, leading business organizations across the world are exploiting data to create new business strategies, opportunities, actions and growth. Many small and mid-sized enterprises (SMEs) are also discovering the potential of utilizing data and the importance of leveraging data in one form or the other to benefit the business. Now let’s take a quick look at the top trends in data science and analytics. 1. Talent Trends in the Data Science and Analytics Industry The massive growth of the data science industry has paved the way for several new employment trends. A large number of IT professionals are moving into the data science and analytics industry. As the number of jobs for data science and anal...

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...