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Fall 2018 | PhD | CS | GRE: 316 (Q165 V151 AWA4.5) |TOEFL109 | CGPA 9.3 | IITKgp CS

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Hi,
Appreciate if you can please spare some time and help me shortlist Universities for Fall 2018.
Dual Degree(Integrated bachelors and masters) in Computer Science and Engineering
Indian Institute of Technology Kharagpur
Field of Interest: Machine Learning (Specifically: Deep Learning)
Degree to purse: PhD
GPA: 9.28/10, Rank 5, Topper - 9.85
GRE: 316 (Q:165, V:151, AWA: 4.5) (Should I give it again?)
TOEFL: 109 (R:29, L:29, S:23, W:28)

Internship:
Google (3 Months, Summer 2017, worked in the field of Deep learning)
Microsoft (3 Months, Summers 2016, worked in databases)

Research:
1) Bachelors Thesis not related to ML
2) Master Thesis related to ML and probably going for paper in May 2018 (No publications up till now)
3) 3 Course Projects related to ML and github links are there.

Course Completed related to interest:
Machine Learning
Deep Learning

LORS:
1) Thesis guide not in the area of ML Razz.
2) one other prof who is in the area of ML specifically deep learning in NLP.
3) Prof who taught ML and I did a course term project under him.

University List:
1) CMU
2) Stanford
3) UIUC
4) UCB
5) USC
6) Georgia Tech
7) University of Torronto
8) UT Austin
9) UCSD
10) UCLA
11) MILA (University of Montreal)
12) Columbia University

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