ML Summer School aims at providing students the opportunity to gain Machine Learning skills and which is the first step in becoming ready to build a career in ML. This program is a three-day intensive course on key ML topics like Supervised Learning, Deep Neural Networks, Probabilistic Graphical Models, Dimensionality Reduction and Unsupervised Learning. This is a great opportunity to learn from and interact with Scientists at Amazon who have immense knowledge in their ML domain.

Key takeaways:

In-depth knowledge on key ML topics from Amazon Scientists
Platform to interact with Scientists and learn about breakthrough innovation
Opportunity to prepare for a career in ML
ML Summer School Description

ML Summer School is an immersive three day program that aims at providing students the opportunity to learn key ML technologies from Scientists at Amazon making them industry ready for careers in ML.

Program dates: July 9 - July 11, 2021

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What is the eligibility criteria for enrolling in ML Summer School?

Engineering students enrolled in Bachelor’s/Master’s/ PhD degree from 20 select institutes of India and are expected to graduate in 2022 or 2023 are eligible to enroll in ML Summer School.

Institute list: Indian Institutes of Technology (IIT) Bombay, IIT Madras, IIT Kharagpur, IIT Delhi, IIT Kanpur, Indian Institute of Science (IISc), IIT Banaras Hindu University (BHU), International Institute of Information Technology (IIIT) Hyderabad, IIIT Bangalore, Indraprastha Institute of Information Technology Delhi, Birla Institute of Technology (BITS), IIT Hyderabad, IIT Indian School of Mines (ISM) Dhanbad, IIT Roorkee, IIT Guwahati, National Institute of Technology (NIT) Tiruchirappalli, NIT Surathkal, NIT Warangal, Anna University and Delhi Technological University (DTU).

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[ Article by: Seed IT ]