This week, we will build our supervised machine learning foundation. Data cleaning and Exploratory Data Analysis (EDA) might not seem glamorous, but the process is vital for guiding your real-world ...

This course covers modern machine learning theory and techniques that can be applied to make informed data-driven decisions. Instead of manually analyzing data, machine learning offers a more ...

Adaptive ML pipelines excel at dynamically adjusting to incoming data, addressing issues like concept drift and shifting data ...

This course aims to provide an introduction to the quantitative analysis of data, blending classical statistical methods with recent advances in computational and machine learning. You will cover key ...

Topics include data acquisition and analysis, simulation and scientific visualization. An introduction to data science and machine learning. Fundamentals of data representation and analysis will be ...

With the rapid integration of AI and automation into the marketing sphere, staying ahead of the curve requires continuous ...

Shares of his company Horizon Robotics Inc., which debuted in Hong Kong on Thursday, rose more than 30% in early trading, ...

These online resources offer additional content for instructors and/or students that support enhanced teaching and learning outcomes and can be accessed online or downloaded for offline reading.

An introduction to computer science in the context of scientific ... The goal is to prepare students for higher-level subjects in artificial intelligence, machine learning, computer vision, natural ...

Resources for students include: An online appendix that links to data sets that can be used for hands-on practice Additional code and data to be used in conjunction with many of the examples, ...