EECS 545 * We aren't endorsed by this school

EECS 545 Machine Learn

  • Average Course Rating (from 1 Student)

    Overall Rating Breakdown
    • 1 Advice
    • 5
    • 4
    • 3
    • 2
    • 1
  • Course Difficulty Rating

    • Easy 0%

    • Medium 100%

    • Hard 0%

  • Top Course Tags

    Always Do the Reading

    Competitive Classmates


* We aren't endorsed by this school

Machine Learn Questions & Answers

Machine Learn Flashcards

Machine Learn Advice

Machine Learn Documents

Showing 1 to 30 of 209

Sort by:

Recent Documents

Machine Learn Advice

Showing 1 to 1 of 1

View all
    • Profile picture
    Nov 02, 2016
    | Would recommend.

    Not too easy. Not too difficult.

    Course Overview:

    I strongly recommend this course for people planning to establish a career based on Machine Learning. This is a graduate level course of ML. This course has given me a good theoretical understanding and hands on experience with the assignments. The in class kaggle competitions were also a great fun.

    Course highlights:

    The course covers all possible ML based algorithms which you hear in general and few important things which wont be heard a lot. I got to explore many python based libraries for ML and in few cases code the core alogrithms.

    Hours per week:

    3-5 hours

    Advice for students:

    The syllabus is huge for this class. So its always good to be on track with the class syllabus. If no prior experience is their in algebra or probability, its better to work on them within first few weeks of the class.

    • Winter 2015
    • Jacob Abernethy
    • Math-heavy Always Do the Reading Competitive Classmates

Ask a homework question - tutors are online