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deerishi.github.io

Deepak Rishi – Grad Student at University of Waterloo

Grad Student at University of Waterloo

http://deerishi.github.io/

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Deepak Rishi – Grad Student at University of Waterloo | deerishi.github.io Reviews

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Grad Student at University of Waterloo

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Publications – Deepak Rishi – Grad Student at University of Waterloo

http://deerishi.github.io/publications

Grad Student at University of Waterloo. Top Orthogonal to Bottom Electrode (TOBE) 2D CMUT Arrays for 3D Photoacoustic Imaging. Chee, R. Sampaleanu, A. Rishi, D. Zemp, R. . IEEE TUFFC journal (Volume:61, Issue: 8). Multi-Frequency CMUT Arrays for Imaging-Therapy Applications. Kshirsagar, A. Chee, R. Sampaleanu, A. Forbrich, A. Rishi, D. Moussa, W. ; Zemp, R.J. . IEEE International Ultrasonics Symposium (IUS) 2013, Prague.

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Brief bio – Deepak Rishi – Grad Student at University of Waterloo

http://deerishi.github.io/Brief-Bio

Grad Student at University of Waterloo. I am a Master’s Student in the Computer Science Department at University of Waterloo. My research interests are in Machine Learning, Data Mining, Natural Language Processing, Artificial Intelligence, Graph based Semi Supervised Learning and Deep Learning. For my graduate thesis I am working on Natural Language Processing and Machine Learning, specifically on opinion mining on Github data. I work with Professor Jesse Hoey. At McGraw Hill Financial. Can be found here.

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Projects – Deepak Rishi – Grad Student at University of Waterloo

http://deerishi.github.io/projects

Grad Student at University of Waterloo. Most of my projects have been in the area of Machine Learning and Aritficial Intelligence. Tuning the parameters of Convolutional Neural Net using Genetic Algorithm for Image Classification. Graph Based Semi Supervised Learning for Document Classification. Policy Search in a Markov Decision Process. Decision Tree in Python for Continuous Attributes. Bayes Net Structure Prediction of a dataset. Sudoku as graph coloring and constraint satisfaction problem (C ).

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Courses – Deepak Rishi – Grad Student at University of Waterloo

http://deerishi.github.io/courses

Grad Student at University of Waterloo. Time Series Analysis (STAT 929). Instructional Appentice for Data Types and Structures CS234. Machine Learning (CS 685). Introduction to Artificial Intelligence (CS 686). Teaching Assistant for Data Structures and Data Management CS240. Operating Systems (CS 350). Deep Learning (STAT 946). Automatic Memory Management and Garbage Collection (CS 842). Teaching Assistant for Data Types and Structures CS 234.

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Students | Artificial Intelligence | University of Waterloo

http://ai.uwaterloo.ca/students.html

Skip to the content of the web site. Supervised by Shai Ben-David. Supervised by Robin Cohen. Supervised by Chrysanne Di Marco. Isabel Li (BMath, co-op) (Co-supervised with Randy Harris [English]). Sebastian Ruan (BMath, co-op) (Co-supervised with Randy Harris [English]). Supervised by Jesse Hoey. Zhengkun (Cheryl) Shang (MMath). Supervised by Kate Larson. PhD) (Co-supervised with Allan Borodin. Supervised by Edith Law. Supervised by Richard Mann. Supervised by Pascal Poupart. Pan Pan Cheng (MMath).

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Deepak Rishi – Grad Student at University of Waterloo

Grad Student at University of Waterloo. I am a Master’s Student in the Computer Science Department at University of Waterloo. My research interests are in Machine Learning, Data Mining, Natural Language Processing, Artificial Intelligence, Graph based Semi Supervised Learning and Deep Learning. For my graduate thesis I am working on Natural Language Processing and Machine Learning, specifically on opinion mining on Github data. I work with Professor Jesse Hoey. At McGraw Hill Financial. Can be found here.

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