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TECH 27 — Applied Machine Learning with Python

Quarter: Summer
Instructor(s): Ishaani Priyadarshini
Duration: 8 weeks
Location: Online
Date(s): Jul 9—Aug 27
Class Recording Available: Yes
Class Meeting Day: Thursdays
Grade Restriction: No letter grade
Class Meeting Time: 6:00—7:30 pm (PT)
Tuition: $470
   
Refund Deadline: Jul 11
 
Unit(s): 1
   
Enrollment Limit: 45
  
Status: Registration opens May 18, 8:30 am (PT)
 
Quarter: Summer
Day: Thursdays
Duration: 8 weeks
Time: 6:00—7:30 pm (PT)
Date(s): Jul 9—Aug 27
Unit(s): 1
Location: Online
 
Tuition: $470
 
Refund Deadline: Jul 11
 
Instructor(s): Ishaani Priyadarshini
 
Grade Restriction: No letter grade
 
Enrollment Limit: 45
 
Recording Available: Yes
 
Status: Registration opens May 18, 8:30 am (PT)
 
 
Machine learning has evolved from a technical specialty into an essential decision-making tool for business leaders. This course uses Python to equip professionals with both technical skills and strategic frameworks for effective decision-making. Through hands-on exercises, you'll master essential techniques in regression, classification, and advanced algorithms in deep learning. Students will implement and test over 15 different machine learning methods, gaining practical experience through real-world case studies in finance, healthcare, ecommerce, and marketing and interactive projects selected to reflect real-world business challenges. We will explore both supervised and unsupervised learning techniques, with assignments tailored to accommodate varying experience levels. Students will complete a customizable final project that aligns with their professional goals.

ISHAANI PRIYADARSHINI
Scholarly Assistant Professor, School of Electrical Engineering & Computer Science, Washington State

Ishaani Priyadarshini received a PhD in electrical and computer engineering from the University of Delaware, where she focused on technological singularity. She completed postdoctoral research at UC Berkeley, exploring trustworthy and fair AI systems. She has taught at UC Berkeley's School of Information and was a course facilitator for Cornell’s online certificate programs known as eCornell. She specializes in AI, data science, and cybersecurity.