DMCA. Copyrighted Work that you can Claim.
Base have 213 078 books.
Search: 


📙 Optimization for Machine Learning by Suvrit Sra, Sebastian Nowozin, Stephen J. Wright — pdf free


The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to extract essential knowledge from huge volumes of data. Machine learning, however, is not simply a consumer of optimization technology but a rapidly evolving field that is itself generating new optimization ideas. This book captures the state of the art of the interaction between optimization and machine learning in a way that is accessible to researchers in both fields.Optimization approaches have enjoyed prominence in machine learning because of their wide applicability and attractive theoretical properties. The increasing complexity, size, and variety of today's machine learning models call for the reassessment of existing assumptions. This book starts the process of reassessment. It describes the resurgence in novel contexts of established frameworks such as first-order methods, stochastic approximations, convex relaxations, interior-point methods, and proximal methods. It also devotes attention to newer themes such as regularized optimization, robust optimization, gradient and subgradient methods, splitting techniques, and second-order methods. Many of these techniques draw inspiration from other fields, including operations research, theoretical computer science, and subfields of optimization. The book will enrich the ongoing cross-fertilization between the machine learning community and these other fields, and within the broader optimization community.



About book:

About file:

  • File size: 3 474 156
  • Format: pdf


Security code:
Download button

Similar books results


Optimization for Machine Learning (Neural Information Processing series)
Optimization for Machine Learning (Neural Information Processing series) free pdf by Suvrit Sra, Sebastian Nowozin, Stephen J. Wright

The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to e...

Natural Language Annotation for Machine Learning
Natural Language Annotation for Machine Learning epub download by James Pustejovsky, Amber Stubbs

Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle—the process of adding metadata ...

Genetic Algorithms for Machine Learning
Genetic Algorithms for Machine Learning free pdf by John J. Grefenstette (auth.), John J. Grefenstette (eds.)

The articles presented here were selected from preliminary versions presented at the International Conference on Genetic Algorithms in June 1991, as well as at a special Workshop on Genetic Algorithms for Machine Learning at the same Conference. Genetic ...

Gaussian Processes for Machine Learning
Gaussian Processes for Machine Learning download pdf by Carl Edward Rasmussen, Christopher K. I. Williams

Winner, 2009 DeGroot Prize for the best book in statistical science, awarded by the International Society for Bayesian Analysis. Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have ...

The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning
The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning free pdf by Reuven Y. Rubinstein, Dirk P. Kroese (auth.)

The cross-entropy (CE) method is one of the most significant developments in stochastic optimization and simulation in recent years. This book explains in detail how and why the CE method works. The CE method involves an iterative procedure where each ite...

Pattern Recognition and Machine Learning
Pattern Recognition and Machine Learning epub download by Christopher M. Bishop

The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to...

Pattern Recognition and Machine Learning
Pattern Recognition and Machine Learning download pdf by Christopher M. Bishop

The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. For example, Bayesian methods have grown from a specialist niche to...

Machine learning, neural and statistical classification
Machine learning, neural and statistical classification pdf free by D. Michie, D. J. Spiegelhalter, C. C. Taylor

Statistical, machine learning and neural network approaches to classification are all covered in this volume. Contributions have been integrated to provide an objective assessment of the potential for machine learning algorithms in solving significant com...

Machine Learning for Hackers
Machine Learning for Hackers free epub by Drew Conway, John Myles White

If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White he...

Analysis and Design of Machine Learning Techniques: Evolutionary Solutions for Regression, Prediction, and Control Problems
Analysis and Design of Machine Learning Techniques: Evolutionary Solutions for Regression, Prediction, and Control Problems pdf free by Patrick Stalph

Manipulating or grasping objects seems like a trivial task for humans, as these are motor skills of everyday life. Nevertheless, motor skills are not easy to learn for humans and this is also an active research topic in robotics. However, most solutions a...