Moshe Sipper

Applied Machine Learning

Lecturer: Prof. Moshe Sipper

202.2.6511, ​4 credits  

בסמסטר ב’, תשפ”ד הקורס מקוון

Contents and lesson plan

Course Description

  • Prerequisites: Algorithms, Linear algebra, Probability
  • Not a prerequisite but (really) good to know: Python
  • Attendance is not mandatory: online/offline Zoom is okay
  • Grade:
    • Final exam (70%) and 3 coding assignments (each 10%)
    • Exam: multiple choice
    • Assignments: teams of 3
    • To pass the course you must:
      • Take and pass the test
      • Submit and pass all homework assignments
    • Final grade = 0.7*exam + 0.1*a₁ + 0.1*a₂ + 0.1*a₃ (aᵢ is assignment i)​