Directory of Classes

NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.


Fall 2022 Statistics GR5245 section 002
Introduction to TensorFlow with Python
Intro. TensorFlow with Py

Call Number 13844
Day & Time
Location
R 6:45pm-7:45pm
602 Hamilton Hall
Points 1
Grading Mode Pass/Fail
Approvals Required None
Instructor Ka-Yi Ng
Type LABORATORY
Method of Instruction In-Person
Course Description This course is an optional companion lab course for GR5242 Advanced Machine Learning. The aim of this course is to help students acquire the basic computational skills in Tensorflow and Python to implement machine learning models. Lab class materials will be aligned closely with the topics covered in GR5242. Google Colab and Jupyter notebooks will be used as the main tools for the hands-on lab exercises.  Open to GR5242 students only. Prerequisites Some familiarity with python is assumed, but we will begin the class with a tutorial on 'Python for machine learning'.
Web Site Vergil
Department Statistics
Enrollment 35 students (86 max) as of 5:33PM Monday, September 26, 2022
Subject Statistics
Number GR5245
Section 002
Division Interfaculty
Open To GSAS
Campus Morningside
Note STAT MA students only.
Section key 20223STAT5245G002

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SIS update 09/26/22 17:33    web update 09/26/22 21:16