DATASCI 315: Statistics and Artificial Intelligence - UMich
Statistics
Official Description from UMich:
Statistical concepts are increasingly integrated into Artificial Intelligence applications, which often draw on a large amount of data received, transmitted, and generated by computers or networks of computers. This course introduces students to statistics and machine learning techniques such as deep neural networks, with application to analyzing text and image data.
Purpose of This Page:
The purpose of this website is to serve as a comprehensive navigation and archive for the course DATASCI 315 / STATS 315. DATASCI 315 / STATS 315 is a course that focuses on the integration of statistical concepts into Artificial Intelligence applications. In today's digital age, where data plays a crucial role in various fields, understanding statistics and its application in machine learning is of utmost importance.
The website aims to provide a centralized platform for students, researchers, and enthusiasts of DATASCI 315 / STATS 315 to access and explore the course materials from different semesters. By organizing and categorizing each semester's course webpages, the website offers a user-friendly interface that allows visitors to navigate through various resources and gain a deeper understanding of the subject matter.
Archived Document(s):
Section 01 - Geometry and Linear Algebraic Operations (open in new window)
Section 02 - Linear Regression (open in new window)
Section 03 - Softmax and Classification (open in new window)
Section 04 - Introduction to Keras and TensorFlow (open in new window)