Data Sci 309: Machine Learning
with Data Science

part-time 4 Weeks

Evenings, 2x per week

Start: July 25, 2017

End: August 18, 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.

Join us for an intermediate Machine Learning mini course.  (for beginners we recommend our Fundamentals of Machine Learning & Regression Analysis).  In this course, learn about different prediction models, such as Support Vector Machines, Decision Trees, Clustering, Nearest Neighbors, and so much more. We’ll be using Python for implementation.

Topics include:

  • Intro to ML Fundamentals
  • Naive Bayes
  • Support Vector Machines
  • Decision Trees
  • Clustering
  • Maximum Likelihood Estimation
  • AdaBoost
  • Optimization
  • Nearest Neighbors
  • Regularization
  • Dimension Reduction
  • Reinforcement Learning

Requires: Fluency in Python and a solid statistics background.

Recommended Prerequisites: Data Sci 203 and Data Sci 209 and Data Sci 109 and/or Data Sci 101 mini courses

Schedule: Tuesday & Friday, 6:00 pm – 9:00 pm