TCS iON is a strategic business unit of Tata Consultancy Services focused on enabling institutions, government departments and organizations from multiple industry sectors to be efficient in their recruitment/admissions process, learning and skilling and overall business operations with the use of ‘Phygital’ platforms. These are platforms that overlay digital technologies over physical assets. TCS iON delivers this with a unique IT-as-a-Service model that provides easy-to-use, secured, integrated, and hosted solutions in a build-as-you-grow and pay-as-you-use business model. Serving clients with the help of best practices gained through TCS’ global experience, deep domestic market exposure along with industry leading technology expertise.
Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
Machine Learning focusses on the development of computer programs that can access data and learn from it.
The Machine Learning market size is expected to grow from $1.03 billion in 2016 to $8.81 billion worldwide by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period owing to a large number of new job openings.
Machine Learning for Real-World Application is a course that teaches the basic and advanced concepts of Machine Learning supported by industry relevant business case studies. The course uses Python as the programming environment. Datasets required for the case studies can be obtained from the internet. This state-of-the-art course is available for engineering students who aspire to take part in knowledge building and make computers capable of taking intelligent decisions in several areas such as smart home applications, providing bank loans to customers, business analytics including share market predictions, sentiment analysis, security and surveillance, real estate businesses and more.
This course covers the basic and advanced concepts of Machine Learning supported by industry relevant business case studies using an integrated Python programming environment. It helps students get hands-on practice using real-world datasets and understand the applications of machine learning such as sentiment analysis, business analytics and more.