Algorithmic Aspects of Machine Learning

This is a monograph based on the class "Algorithmic Aspects of Machine Learning" taught at MIT in Fall 2013, Spring 2015 and Fall 2017.

**Tag(s):**
Machine Learning

**Publication date**: 01 Jan 2018

**ISBN-10**:
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**ISBN-13**:
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**Paperback**:
249 pages

**Views**: 1,638

**Type**: Lecture Notes

**Publisher**:
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**License**:
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**Post time**: 24 Feb 2021 12:00:00

Algorithmic Aspects of Machine Learning

This is a monograph based on the class "Algorithmic Aspects of Machine Learning" taught at MIT in Fall 2013, Spring 2015 and Fall 2017.

From the Introduction:

Ankur Moitra wrote:In this book, we will approach the problem of giving provable guarantees for machine learning by trying to find more realistic models for our data. In many applications, there are reasonable assumptions we can make based on the context in which the problem came up, that can get us around these worst-case impediments and allow us to rigorously analyze heuristics that are used in practice, as well as design fundamentally new ways of solving some of the central, recurring problems in machine learning.

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About The Author(s)

Ankur Moitra is Associate Professor of Mathematics in the Department of Mathematics at Massachusetts Institute of Technology as of July, 2017. He received tenure in July 2019. He received his B.S. in electrical and computer engineering from Cornell in 2007. He completed his M.S. and Ph.D. degrees from MIT in computer science in 2009 and 2011 respectively, where he was advised by Tom Leighton and was supported by a Fannie and John Hertz Foundation Fellowship. He received a George M. Sprowls Award (best thesis) and a William A. Martin Award (best thesis) for his doctoral and master's dissertations.

Book Categories

Computer Science
Introduction to Computer Science
Introduction to Computer Programming
Algorithms and Data Structures
Artificial Intelligence
Computer Vision
Machine Learning
Neural Networks
Game Development and Multimedia
Data Communication and Networks
Coding Theory
Computer Security
Information Security
Cryptography
Information Theory
Computer Organization and Architecture
Operating Systems
Image Processing
Parallel Computing
Concurrent Programming
Relational Database
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Data Mining
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Data Science
Digital Libraries
Compiler Design and Construction
Functional Programming
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Object Oriented Programming
Formal Methods
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Linear Algebra
Number Theory
Numerical Methods
Precalculus
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Differential Equations
Category Theory
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Discrete Mathematics
Theory of Computation
Graph Theory
Real Analysis
Complex Analysis
Probability
Statistics
Game Theory
Queueing Theory
Operations Research
Computer Aided Mathematics

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Electric Circuits
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Signal Processing
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