Foundations of Modern Machine Learning

International Institute of Information Technology-Hyderabad iHub-Data, IIIT Hyderabad Opens Applications for Skill Development Course on Foundations of Modern Machine Learning.

Hub-Data at IIIT Hyderabad invites applications from undergraduate engineering students across the country for its 36-week foundation course on Modern Machine Learning commencing from January 2022. The program is specifically targeted at pre-final and final year undergraduate engineering students who are aiming at enhancing their knowledge and sharpening practical skills in machine learning for use in application domains like; image processing, computer vision, robotics, data mining, natural language processing or speech processing, to name a few.

Interactive online sessions would be delivered by IIITH faculty Prof CV Jawahar, Prof Anoop M Namboodiri, and Dr Ravi Kiran S. Practical hands-on sessions would be extended through mentors with considerable exposure to artificial intelligence and machine learning. Furthermore, industry experts will also contribute to the learning outcome through discussions and interactions. A certificate of achievement from IIIT Hyderabad would be awarded upon successful completion of the course.

While the course is open to all engineering students across India, it would be most beneficial for pre-final and final year undergraduate engineering students from the streams of Computer Science, Information Technology, Electronics Engineering, Electrical Engineering or other allied branches.

Students registered for the program would have to undergo a preparatory module, and the final selection of students would be based on student performance during the preparatory module. The preparatory module would be delivered and evaluated by Prof Anoop M Namboodiri (IIIT Hyderabad) and Dr CK Raju (iHub-Data).

What is machine learning?

Machine learning (ML) is the study of computer algorithms that can improve automatically through experience and by the use of data. ML is viewed as a part of artifi cial intelligence. Machine learning algorithms build a model based on sample data, known as training data, that can make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in wide ranging applications like medicine, email fi ltering, speech recognition, and computer vision. These are tasks where it is diffi cult or not practical to develop conventional algorithms.

A subset of machine learning is related to computational statistics that focuses on making predictions using computers. But not all machine learning is statistical learning. The study of mathematical optimisation delivers methods, theory and application domains to the fi eld of machine learning. Data mining is a related fi eld of study, focusing on exploratory data analysis through unsupervised learning. Some implementations of machine learning use data and neural networks ways that mimic the working of a biological brain.When applied to business problems, machine learning is also referred to as predictive analytics.

Benefits of the online program on Machine Learning

• A certificate would be awarded on successful completion of the program.
• Online modules offered would have a personalised learning experience.
• Equal focus on foundation and practices.
• Discussions would be arranged with eminent researchers from academics and industry.
• Internships at IIIT Hyderabad to promising students.
• The course will cost students Rs 10,000 inclusive of all taxes, and those who wish to enroll for it will have to do so before 25 December 2021. More information at: https:// ihub-data.iiit.ac.in/mml2022

The International Institute of Information Technology, Hyderabad (IIITH) is an autonomous research university founded in 1998 that focuses on the core areas of Information Technology, such as Computer Science, Electronics and Communications, and their applications in other domains through inter-disciplinary research with great social impact. Some of its research domains include Visual Information Technologies, Human Language Technologies, Data Engineering, VLSI and Embedded Systems, Computer Architecture, Wireless Communications, Algorithms and Information Security, Robotics, Building Science, Earthquake Engineering, Computational Natural Sciences and Bioinformatics, IT in Agriculture and e-Governance.