Directory of Classes

NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.


Fall 2022 Computer Science PS0104 section D01
Introduction to Artificial Intelligence
Intro to AI with Python

Call Number 17531
Day & Time
Location
S 10:00am-12:00pm
ONLINE ONLY
Points 0
Grading Mode Ungraded
Approvals Required None
Instructor Francesca Lazzeri
Type LECTURE
Method of Instruction On-Line Only
Course Description From healthcare, marketing, and HR to finance and manufacturing, AI is changing the way we live and work. As a consequence, the demand for expertise in AI and machine learning is growing rapidly. This course will enable students to take the first step toward building AI driven applications. The course’s main topics are:
  1. What machine learning, deep learning and AI are.
  2. When machine learning is the right tool for AI.
  3. How to select the right machine learning algorithm for your AI scenario.
  4. How to use Python libraries to build AI applications.
  5. How to use Automated Machine Learning and Python to build AI applications.
  6. Real-world AI use cases and applications.
This course aims at teaching the most important concepts of the machine learning workflow that data scientists follow to build end-to-end data science solutions. We assume that students have basic knowledge of linear algebra and calculus. Students will gain exposure to the theory behind classification, regression, forecasting, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own. The course includes asynchronous work, which students are expected to complete between class sessions.
Web Site Vergil
Department Pre-College Programs (SHSP)
Enrollment 12 students (18 max) as of 5:08PM Sunday, January 29, 2023
Subject Computer Science
Number PS0104
Section D01
Division School of Professional Studies
Open To Pre-College Programs
Campus Morningside
Section key 20223COMS0104KD01

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