SUMMER SCHOOL ON Technical Committee Overview Most of the jobs are turning into data science streams and •Dr. V. Mahendran MACHINE LEARNING there is an expectation from the industry for the engineering 2021(Online) students emerging out of institutes to be acquainted with •Dr. G. Ramakrishna necessary skills in ML/DL methodologies and tools.

•Dr. Kalidas Yeturu This workshop is to on board students/ faculty/ practitioners onto the topics through both theory and hands-on sessions •Dr. Konda Reddy Mopuri Organized by involving the following three unique features - • Detailed theory sessions on critical algorithmic aspects. Department of Computer Science & • Hands-on sessions giving immediate feel for theoretical •Dr. Srinivas Padmanabhuni Engineering concepts. Indian Institute of Technology • Practical flavor of industry grade production systems •Dr. Rama Krishna Sai Gorthi • using ML.

Organizing Committee Topics to be covered •Dr Ajin George Joseph • Fundamental of problem formulation skills in data science along with demonstrations, hands-on practice •Dr. Jaynarayan T Tudu sessions and quizzes; standard supervised learning algorithms including loss functions, multivariate linear •Dr. Kalidas Yeturu Machine Learning and Deep Learning regression and multiclass classification, logistic methodologies both in theory and practical via regression, decision trees, random forest, data •Dr. Raghavendra K. preparation and model selection hands-on laboratory sessions. • Deep neural networks theory and practicals using •Dr. Raja. S tensorflow for encoders, convolutional neural Bootcamp Program networks, recurrent neural networks and generative •Dr. Sridhar Chimalakonda adversarial networks; and unsupervised learning July 20th - July 21st, 2021 techniques for clustering and data visualization. •Dr. Venkata Ramana Badarla • The sessions are supplemented for a real-world Workshop on ML application through industry grade implementations, customizations and demonstrations. July 26th - July 30th, 2021 Objectives Expected Outcomes • To acquire necessary theoretical foundations and Important Dates • Acquire skill on vector representation for problem sufficient skills in ML, DL and Unsupervised July 20th - July 21st, 2021 methodologies of formal representation. formulation in machine learning. • Designing a solution and implementation of the same & • Include data preparation activity in machine using state of the art tools for addressing real world learning works. th th machine learning problem statements. July 26 - July 30 , 2021 • To apply the right metrics for quality assessment of • To get an idea practical perspective and customization machine learning models. aspects through industry demonstrations of the Last date of Registration • To devise and deploy custom loss functions in deep applications of the methods and the tools. neural networks. July 18th, 2021 • To apply unsupervised learning methodologies for List of Speakers data visualization and clustering. Maximum number of registrations : 100 • Apply multivariate regression and multi class • Dr. Aloknath De, classification methodologies. CTO, Samsung India • Implement the solution using scikit-learn and tensorflow libraries. • Dr. Kalidas Yeturu, • Incorporate industry best practices and Assistant Professor, benchmarking into the solution design. Department of CSE, IIT Tirupati

• Dr. Srinivas Padmanabhuni, Registration Fee Chief mentor, Tarah AI and Co-founder, CityMandi Guest Faculty Member, Department of CSE, IIT Tirupati On or before Between 16th Category July 15th and 18th July • Dr. G.Ramakrishna, 2021 2021 Assistant Professor, Department of CSE, IIT Tirupati Students Rs 2000/- Rs 3000/- Faculty • Dr. Mahendran V, Rs 4000/- Rs 5000/- Assistant Professor, Members Department of CSE, IIT Tirupati Industry Rs 6000/- Rs 7000/- • Dr. Rama Krishna Sai Gorthi, To know more visit, Employees Associate Professor, https://iittp.ac.in/mlworkshop Department of EE, IIT Tirupati Contact • Dr. Konda Reddy Mopuri, Venue: Mr. Nagarajan.R Visiting Faculty Member, Department of CSE, IIT Tirupati Zoom 9900094430 (Online Mode) Email : [email protected]