Artificial Intelligence and Data Science Department -ECB Bikaner
Artificial Intelligence and Data Science (AI & DS)
About the Department
Artificial Intelligence (AI) and Data Science (DS) is a new, exponentially growing field which consists of a set of tools and techniques used to extract useful information from data.
B. Tech. in Artificial Intelligence and Data Science (AI &DS) is an undergraduate programme with advanced learning solutions imparting knowledge of advanced innovations like artificial intelligence,data science, machine learning and deep learning. The main goal of artificial intelligence (AI) and data science (DS) is to program computers to use example data or experience to solve a given problem.
This specialized B.Tech. course is specially designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics and visualization technologies.
Artificial Intelligence and Data ScienceB.Tech.course prepare students with the skills to perform intelligent data analysis which is a key element in numerous real-world applications. During recent times, data science has emerged as one of the most high-growth, dynamic, and gainful careers in technology. This course aims at providing not only the core technologies such as artificial intelligence, data mining and data modelling but also gives intensive inputs in areas of machine learning and big data analytics. By this course, the students will gain cross-disciplinary skills across fields such as statistics, computer science, machine learning, and logic, data scientists and may have career opportunities in healthcare, business, eCommerce, social networking companies, climatology, biotechnology, genetics, and other important areas. The major focus of this programme is to equip students with statistical, mathematical reasoning, machine learning, knowledge discovery, and visualization skills.
This programme discusses AI methods based in different fields, including neural networks, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions.Many successful applications based on data science and machine learning exist already, including systems that analyze past sales data to predict customer behaviour (financial management), recognize faces or spoken speech, optimize robot behaviour so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data.