Understanding Machine Learning: From Theory to Applications (DATASCI 224)

Course Description

This course teaches the mathematical foundations of machine learning (ML). Each week, the course surveys a different algorithm to examine its underlying machinery, covering topics such as linear algebra, calculus, and optimization. ML algorithms range from linear models to gradient boosting and deep learning. The course also discusses newer concepts such as model fairness and ML for causal inference. Upon course completion, students should be able to learn new ML algorithms independently.

Objectives

At the conclusion of this course, students will be able to:

• Explain the key mathematical ideas that underly different machine learning algorithms.
• Demonstrate proficiency in applying new machine learning algorithms.
• Select the most appropriate machine learning algorithm/analysis strategy to answer their question of interest.
• Critique and analyze applications of machine learning algorithms.

Prerequisites

• Machine Learning in R for the Biomedical Sciences: Methods for Prediction, Pattern Recognition, and Data Reduction (BIOSTAT 216) This course is part of the Health Data Science Masters and Certificate Program and may have space limitations. Auditing is not permitted. Exceptions to this prerequisite may be made with the consent of the Course Director, space permitting.

Faculty

Course Director: Jean Feng, PhD, MS Title: Assistant Professor Department of Epidemiology & Biostatistics

Format

Lectures will be held at 9:30 - 11:00 AM and Labs held 11:00 AM - 12:00 PM, Mondays, March 31 through June 2. Each week, new material is introduced via an interactive lecture and recommended readings. Learning is reinforced via computer labs, structured discussion sections, and homework.

Materials

Materials needed:

• Software: Python

Grading

Grades will be based on total points achieved on the homework assignments and class project. Late assignments will not be accepted. Only UCSF students (defined as individuals enrolled in UCSF degree or certificate programs) will receive academic credit for courses. Official transcripts are available to UCSF students only. A Certificate of Course Completion will be available upon request to individuals who are not UCSF students and satisfactorily pass all course requirements.

University of California San Francisco

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Overview:

University of California San Francisco (UCSF) is a renowned public research university located in San Francisco, California. It is a leading institution in the fields of health sciences, biomedical research, and patient care. UCSF is known for its commitment to innovation, collaboration, and its dedication to improving human health.

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UCSF offers a wide range of services to its students, including:

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Student Life and Campus Experience:

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Key Reasons to Study There:

World-Class Faculty:

UCSF boasts a faculty of renowned researchers, clinicians, and educators who are leaders in their fields.

Cutting-Edge Research:

The university is at the forefront of biomedical research, with groundbreaking discoveries and advancements in various areas of health sciences.

Exceptional Patient Care:

UCSF is home to a world-class medical center that provides comprehensive and compassionate care to patients.

Vibrant Campus Community:

UCSF offers a diverse and supportive campus community with a strong emphasis on collaboration and innovation.

Location in San Francisco:

The university's location in San Francisco provides students with access to a vibrant city with numerous cultural, entertainment, and career opportunities.

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Academic Programs:

UCSF offers a wide range of academic programs across its various schools, including:

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