Data Sci 403: Neural Networks
& Deep Learning

part-time 2 Weeks

Evenings, 2x per week

Start: April 10, 2017

End: April 20, 2017

Location: New York

295 Madison Ave., 35 FL

part-time 2 Weeks

Evenings, 2x per week

Start: July 18, 2017

End: July 28, 2017

Location: New York

295 Madison Ave., 35 FL

About Data Science Mini Courses:
Courses are available in flexible, part-time 12, 18, and 24-hour or formats for those who want to learn specialized topics rather than take a full bootcamp. Courses are organized by level with 100 being beginner levels.

Curriculum is designed to prepare students for jobs in data science related roles. Women and veterans receive 20% enrollment prices. For a complete listing please see mini courses.

This mini course focuses on the exciting areas of Neural Networks and Deep Learning.  Deep Learning is a sub-field of Machine Learning. There will be emphasis on mathematical skills in order to understand the material.  We’ll go over fundamentals of Neural Networks and different deep learning models.

Topics include:

  • Select Calculus, Linear Algebra, and Statistics topics
  • Neural Networks
  • Recurrent Neural Networks
  • Convolution Neural Networks
  • Feedforward Neural Networks
  • LTST Neural Networks

Requires: Programming experience. Solid background in Statistics & Calculus.

Recommended Prerequisite: Data Sci 309 and  Data Sci 203 and Data Sci 109 and/or Data Sci 101 mini courses

Schedule: Monday & Thursday, 6:00 pm – 9:00 pm

 

Register