Doctor of Philosophy in Machine Learning

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Introduction

Upon completion of the program requirements, the graduate will be able to: Obtain rigorous mathematical background and advanced reasoning capabilities to express a comprehensive and deep understanding of the pipelines at the frontier of machine learning: data, models, algorithmic principles, and empirics. Master a range of skills and techniques in data-preprocessing, exploration, and visualization of data statistics as well as complex algorithmic outcomes. Have a critical awareness of the capabilities and limitations of the different forms of learning algorithms and the ability to critically analyze, evaluate, and improve the performance of the learning algorithms. Grow expert problem-solving skills through independently applying the principles and methods learned in the program to various complex real-world problems. Develop a deep understanding of statistical properties and performance guarantees, including convergence rates (in theory and practice) for different learning algorithms. Become an expert in using and deploying machine learning-relevant programming tools for a variety of machine learning problems. Grow proficiency in identifying the limitations of existing machine learning algorithms and the ability to conceptualize, design, and implement an innovative solution for a variety of highly complex problems to advance the state-of-the-art in machine learning. Able to initiate, manage, and complete research manuscripts that demonstrate expert self-evaluation and advanced skills in communicating highly complex ideas related to machine learning. Obtain highly sophisticated skills in initiating, managing, and completing multiple project reports and critiques on a variety of machine learning methods, that demonstrate expert understanding, self-evaluation, and advanced skills in communicating highly complex ideas. The minimum degree requirements for the Ph.D. in Machine Learning are 59 Credits, distributed as follows: Core Courses: 4 Courses (15 Credit Hours) Elective Courses: 2 Courses (8 Credit Hours) Research Thesis: 1 Course (36 Credit Hours)

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About the School

Mohamed bin Zayed University of Artificial Intelligence - MBZUAI

The Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi, is a graduate-level, research-based academic institution that offers specialized degree programs for local and international students in the field of Artificial Intelligence. The MBZUAI aims to support the advancement of scientific research, development, transfer, and use of Artificial Intelligence through the introduction of MSc and Ph.D. programs that allow students to fulfill their intellectual potential in a state-of-the-art environment. The goal of the MBZUAI is to achieve academic and research excellence at the local, regional and international level, helping its students succeed in their career and leverage their acquired knowledge to tackle some of the greatest challenges of our time. Read less

Abu Dhabi

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Doctor of Philosophy in Machine Learning

General

Introduction

Admissions

Curriculum

Gallery

About the School

Mohamed bin Zayed University of Artificial Intelligence - MBZUAI

Mohamed bin Zayed University of Artificial Intelligence - MBZUAI

Ask a Question

General Information

Program Dates

Tuition & Fees

Program Type & Duration

Study Place

Funding

How to Apply

Language

Other