This course will focus on statistical/machine learning methods, data analysis/programming skills.

The course will cover principled statistical methodology for basic machine learning tasks such as regression, classification, dimension reduction and clustering ...

Here are the lecture notes from Winter, 2019. They are a mixture of the lectures from Sections X01 and X02.

21 июл. 2024 г. · Statistics document from University of California, Berkeley, 2 pages, Syllabus of STAT154/254 (Modern Statistical Prediction and Machine ...

[UCLA] Math 254A: Topics in Entropy and Statistical Mechanics (Tim Austin, Sp21) ... [UC Berkeley] Stat 210B: High-Dimensional Statistics (Song Mei, Sp22).

5 июн. 2020 г. · Which STAT 15X level classes are most important for someone hoping to go to grad school for data science, and later the industry?

Introduction to Probability and Statistics. Stat 20 UC Berkeley Hex logo of Stat 20 showing a golden bear.

Description: This is an introductory course in statistical learning, with an emphasis on regression and classification methods (supervised learning), ...

28 авг. 2023 г. · Stat154/254 Modern Statistical Prediction and Machine Learning Midterm Exam Thursday, March 9, 2023 Instructor: Nikita ZhivotovskiyGSI: ...

See courses currently offered this term. STAT123 - Data Science · STAT252 - Statistics for Business · STAT254 - Probability and Statistics for Engineers.