Bengaluru, June 13 (IANS) Amazon India on Sunday announced the launch of ML Summer School which will provide an integrated learning experience for students to gain applied Machine Learning (ML) skills.

A batch of students from select tech campuses in India will be presented with the opportunity to engage through virtual classroom tutorials followed by interactive Q&A sessions with scientists at Amazon.

For students with prior exposure to certain areas of ML, the programme can act as a refresher course, while additionally providing a practical perspective on ML applications in industry, the company said in a statement.

“With the pace of advancements in ML, we are proactively helping students to learn about the latest trends in the field of ML and apply them to solve real-world problems,” said Rajeev Rastogi, VP, India Machine Learning at Amazon.

“Our aim is to prepare students for science roles — this will help to reduce the gap between the growing demand for ML roles across companies and the talent pool with applied ML skills,” he added.

ML Summer School is open to engineering students in their pre-final/final year of Bachelors, Masters or PhD studies across select tech campuses in 2021.

Participants of ML Summer School will be identified through an online assessment.

They will also have access to the Amazon Research Days (ARD) conference where they can learn about technology trends in industry through presentations from renowned ML leaders around the world.

The curriculum of ML Summer School will cover the fundamental concepts in ML while linking them to practical industry applications through an immersive three-day course.

Students will get to learn first-hand on how advanced ML techniques such as Deep Learning and Probabilistic Graphical Models can be leveraged to solve specific business problems in the e-commerce domain such as demand forecasting, catalogue quality, product recommendations, search ranking and online advertising.

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Vanderbilt’s Data Science Institute has kicked off the third year of its undergraduate summer research program. The program engages students who are interested in carrying out data science-related research with a Vanderbilt faculty member and integrates them into the institute’s community of data science scholars.

This year, the DSI awarded fellowships to 24 undergraduate students with diverse academic backgrounds and research interests. New this summer is the addition of four partner sponsors from across campus to support a number of fellows. These partnerships allow students to work in labs affiliated with their sponsor on projects using data science techniques while simultaneously taking advantage of workshops, demo sessions and curated feedback from the DSI team.

The partner sponsors are as follows:

• Vanderbilt Microbiome Initiative
• Evolutionary Studies Initiative at Vanderbilt
• Vanderbilt Brain Institute
• Frist Center for Autism and Innovation

The undergraduate fellows will engage in 10 weeks of research with their faculty mentor and enhance their data science skills through online workshops led by the data science team with a goal of becoming articulate leaders through weekly demonstrations.

The 2021 fellows come from a wide range of schools, departments and majors across campus, including anthropology, cognitive studies, physics, computer science, neuroscience, psychology, political science, economics, and medicine, health and society.

Learn more about the 2021 fellows.

2021 Fellows

• Katharine Cella
• Zoe Crawley
• Dillon Davey
• Andrew Gothard
• Jiaxin He
• Miya Hugaboom
• Chetan Immanneni
• Qiaochu Jiang
• Rohit Khurana
• Hangling Liu
• Suiyang Mai
• Jessica Mo
• Amy Rieth
• Joseph Sexton
• Elijah Sheridan
• Janet Stefanov
• Benjamin Van Sleen
• Chet Weissberg
• Aidan Wells
• Qinlian Yang
• Yuqin Yang
• Xinxin Zhang
• Qianhui Zheng
• Zheyu Zhu

Director of Undergraduate Research Thomas Palmeri, Chief Data Scientist Jesse Spencer-Smith and Assistant Director Amanda Harding lead the DSI-SRP.

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