Ravindran Kannan's Books

Foundations of Data Science

By: Avrim Blum,John Hopcroft,Ravindran Kannan

Write a review Read reviews Take a Quiz Solve Book Puzzle

Foundations of Data Science

By: Avrim Blum,John Hopcroft,Ravindran Kannan

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

433

Publisher

Cambridge University Press

Published Date

ISBN 10

1108617360

ISBN 13

9781108617369

Spectral Algorithms

By: Ravindran Kannan,Santosh Vempala

Write a review Read reviews Take a Quiz Solve Book Puzzle

Spectral Algorithms

By: Ravindran Kannan,Santosh Vempala

Spectral methods refer to the use of eigenvalues, eigenvectors, singular values and singular vectors. They are widely used in Engineering, Applied Mathematics and Statistics. More recently, spectral methods have found numerous applications in Computer Science to "discrete" as well as "continuous" problems. Spectral Algorithms describes modern applications of spectral methods, and novel algorithms for estimating spectral parameters. The first part of the book presents applications of spectral methods to problems from a variety of topics including combinatorial optimization, learning and clustering. The second part of the book is motivated by efficiency considerations. A feature of many modern applications is the massive amount of input data. While sophisticated algorithms for matrix computations have been developed over a century, a more recent development is algorithms based on "sampling on the fly" from massive matrices. Good estimates of singular values and low rank approximations of the whole matrix can be provably derived from a sample. The main emphasis in the second part of the book is to present these sampling methods with rigorous error bounds. It also presents recent extensions of spectral methods from matrices to tensors and their applications to some combinatorial optimization problems.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

153

Publisher

Now Publishers Inc

Published Date

ISBN 10

1601982747

ISBN 13

9781601982742

Supply Chain Engineering

Models and Applications

By: A. Ravi Ravindran,Donald P. Warsing, Jr.,Paul M. Griffin

Write a review Read reviews Take a Quiz Solve Book Puzzle

Supply Chain Engineering

Models and Applications

By: A. Ravi Ravindran,Donald P. Warsing, Jr.,Paul M. Griffin

This new edition textbook continues down the path that the first edition, winner of the 2013 IISE/Joint Publishers Book-of-the-Year Award, successfully carved out. The textbook targets engineering students and emphasizes the use of operations research models and solution methods important in the design, control, operation, and management of global supply chains. Completely updated, Supply Chain Engineering: Models and Applications, Second Edition stresses quantitative models and methods, highlights global supplier selection and vendor risk management techniques, and discusses the use of multiple criteria decision-making models in supply chain management. The new edition includes chapters on health and humanitarian supply chains, including disaster management and logistics modeling, and on warehousing and distribution. Disruptions to global supply chains due to the COVID-19 pandemic are discussed throughout the book. Industry and government strategies to make the global supply chains resilient are also presented. Thirty four case studies have been included to illustrate various supply chain models and methods. Exercises are included at the end of each chapter, and a solutions manual and PowerPoint slides are available for qualified textbook adoptions. The new edition continues to target upper-level undergraduate and graduate students in engineering, as well as MBA students in operations management, logistics, and supply chain management programs that emphasize quantitative analysis. It is also useful as a reference for technical professionals and researchers in industrial engineering, supply chain management, procurement, logistics and health administration.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

604

Publisher

CRC Press

Published Date

ISBN 10

1000924017

ISBN 13

9781000924015

Spectral Algorithms

By: Ravindran Kannan,Santosh Vempala

Write a review Read reviews Take a Quiz Solve Book Puzzle

Spectral Algorithms

By: Ravindran Kannan,Santosh Vempala

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

153

Publisher

Now Publishers Inc

Published Date

ISBN 10

1601982747

ISBN 13

9781601982742

Book's by Ravindran Kannan

Foundations of Data Science

Foundations of Data Science

Spectral Algorithms

Spectral Algorithms

Supply Chain Engineering

Supply Chain Engineering

Spectral Algorithms

Spectral Algorithms

Username

Password

Username

Password

Password again

Birthday

Email