Machine Learning: An Applied Mathematics Introduction, Paperback - Paul Wilmott

DescriptionMachine Learning: An Applied Mathematics Introduction covers the essential mathematics behind all of the following topics K Nearest Neig...

Reducere. The word "quantum" is from the Latin for "how much" and in this book mathematician David Orrell shows how it applies to the world of economic trans...

Reducere. Know how to adapt quantum computing and machine learning algorithms. This book takes you on a journey into hands-on quantum machine learning (QML) ...

A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniq...

DescriptionLearn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document cla...

The aim of this book is to provide a concise but complete introduction to the main mathematical tools of nonlinear functional analysis, which are a...

Reducere. Updates to this new edition include: more coverage of regression assumptions and model fit; additional material on residual analysis; more examples...

Contributor(s): Author: Martin BraunMathematics is playing an ever more important role in the physical and biological sciences, provoking a blurrin...

This book brings the power of modern Bayesian thinking, modeling, and computing to a broad audience. In particular, it is an ideal resource for adv...

Aiming to reach undergraduate students entering the world of complex variables and analytic functions, this book utilizes graphics to visually buil...

In today's world, we are increasingly exposed to the words "machine learning" (ML), a term which sounds like a panacea designed to cure all problem...

The objective of this edited book is to share outcomes on various research domains to develop efficient, adaptive and intelligent models to handle ...

In today's world, we are increasingly exposed to the words "machine learning" (ML), a term which sounds like a panacea designed to cure all problem...

Reducere. This introductory exposition of group theory by an eminent Russian mathematician is particularly suited to undergraduates, developing material of f...

Reducere. DescriptionThis is the 3rd edition of the book. All the code sections are formatted with fixed-width font Consolas for better readability. This boo...

Reducere. FOAM. This acronym has been used for over ?fty years at Rensselaer to designate an upper-division course entitled, Foundations of Applied Ma- emati...

Reducere. Since its creation at the beginning of World II, radars have forever transformed the practice of modern warfare. The evolution of countermeasure co...

If you're at the beginner stage and are looking to gain new knowledge about machine learning then keep reading...WARNING: Do not read this book if ...

Reducere. DescriptionArtificial intelligence and machine learning are considered as hot technologies of this century. As these technologies move from researc...

This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. Fun...

DescriptionThe significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research area...

692Optimization has pervaded all spheres of human endeavor. Although op- mization has been practiced in some form or other from the early prehistor...

DescriptionMany industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general ...

Rev. ed. of: Mathematics for machine technology / Robert D. Smith, John C. Peterson. 6th ed. 2009.

The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.Publisher: Mac...

Reducere. DescriptionEmphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational ...

Reducere. An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense...

Publisher: Wolfram Media IncAuthor(s): Etienne BernardNumber of pages: 424Publication date: 2021Dimensions: 179 x 254 x 28Cover type: Paperback / s...

Reducere. DescriptionThere is a wealth of literature and books available to engineers starting to understand what machine learning is and how it can be used ...

Contributor(s): Author: Benjamin BengfortAuthor: Rebecca BilbroAuthor: Tony OjedaFrom news and speeches to informal chatter on social media, natura...

Reducere. Description♦♦Bonus: Buy the Paperback version of this book, and get the kindle eBook version included for FREE**Machine Learning is changing the wo...

Reducere. Providing a succinct yet comprehensive treatment of the essentials of modern differential geometry and topology, this book's clear prose and inform...

DescriptionYou've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are ...

Using real-world examples to motivate students, this title combines theory with innovative technology, and offers flexibility that caters to both t...

A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks....

DescriptionIf you want to learn about Neural Networks then keep reading... Aladdin from

A practical introduction for final-year undergraduate and graduate level students without a solid background in linear algebra and calculus.

Publisher: Cengage Learning, IncAuthor(s): Susan (University of North Carolina at Greensboro) AndreattaNumber of pages: 480Publication date: 2017Di...

Provides a lively and accessible introduction to the numerical solution of stochastic differential equations with the aim of making this subject av...

Suitable for students of mathematical finance, or a quick introduction to researchers and finance practitioners. This book covers the stochastic ca...

Suitable for students and practitioners of public administration who have little background in statistics or research methods, this book covers all...

Reducere. Basic Mathematics teaches you all the maths you need for everyday situations. If you are terrified by maths, this is the book for you. Do you shy a...

Suitable for engineering and sciences students, this book emphasizes modern statistical methodology and data analysis.

Reducere. DescriptionNote: This is the 3rd edition. If you need the 2nd edition for a course you are taking, it can be found as a "other format" on amazon, o...

Reducere. DescriptionExamine business problems and use a practical analytical approach to solve them by implementing predictive models and machine learning t...

Algebra: A Complete Introduction is the most comprehensive yet easy-to-use introduction to using Algebra.Written by a leading expert, this book wil...

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector c...

Pre-Accident Investigations: Better Questions - An Applied Approach to Operational Learning challenges safety and reliability professionals to get ...

Contributor(s): Author: Scott V. BurgerMachine learning is an intimidating subject until you know the fundamentals. If you understand basic coding ...

This book offers a simple, fully operational introduction to applied general equilibrium as an analytical tool in economics. Coverage includes mode...