Moshe Sipper
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applied machine learning

Lecturer: Prof. Moshe Sipper
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למידת מכונה יישומית
לתלמידי תואר ראשון ושני
הערה: זהו קורס בחירה אבל עם מכסה גבוהה כך שלא אמורה להיות בעיית רישום לסטודנט מדמ"ח שמעוניין‎‎

202.2.6511, ​4 credits  
🎓 Prerequisites: Algorithms, Linear algebra, Probability
💻 Not a prerequisite but (really) good to know: Python
✍ Contents and lesson plan
🗣 Attendance is not mandatory: online/offline Zoom is okay
💯 Grade:
  • Final exam (70%) and 3 coding assignments (each 10%)
  • Exam: multiple choice, online (Moodle), probably in Hebrew (possibly in English)
  • Assignments: teams of 2 or 3
  • To pass the course you must: 1) take and pass the test, 2) submit and pass all homework assignments
  • Final grade = 0.7*exam + 0.1*a₁ + 0.1*a₂ + 0.1*a₃ (aᵢ is assignment i)​
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