Park Andrew

Machine Learning - The book includes : Python machine learning and data science. A comprehensive guide for beginners to master deep learning, artificial intelligence and data science with Python

Amazon, 2020. 2020. In-8. Broché. Bon état, Couv. convenable, Dos satisfaisant, Intérieur frais. 348 pages. Livre en anglais.. . . . Classification Dewey : 420-Langue anglaise. Anglo-saxon. ISBN: 8602139144.

Le-livre.comProfessional seller

Book number: R300280450

Catalogue: LANGUES

Keywords: 86021391441

BURGER, SCOTT V.

Introduction to Machine Learning with R: Rigorous Mathematical Modeling

Sebastopol, CA, O'Reilly Media, Inc. 2018. (ISBN: 9781491976449). Paperback. Used, Paperback in very good condition. Covers are clean, binding is sound and content is as unread. LW. Very Good.

PsychoBabel BooksProfessional seller

Book number: 611282

Catalogue: Computers & Technology (Incl. Ai)

Keywords: 9781491976449

Camastra, Francesco and Alessandro Vinciarelli:

Machine Learning for Audio, Image and Video Analysis: Theory and Applications. (=Advanced Information and Knowledge Processing).

Springer 2007. 510 S.; Ill. Hardcover Like new. Shrink wrapped. Free shipping within Germany. Shipping costs to EU-countries: 9.50 EUR, to non-EU-countries: 15.00 EUR.

Antiquariat Thomas HakerProfessional seller

Book number: 818655

Catalogue: Medien

Keywords: Mediale Prozesse, Videoanalyse, Lernen, Informatik, Computerwissenschaft ISBN: 9781848000063

CARBONELL, JAIME (EDITOR)

Machine Learning: Paradigms and Methods

Cambridge, MIT Press, 1990. Ed.: Reprint. Paperback. ISBN: 0262530880. A very good trade paperback with lightly rubbed wraps. Clean, tight, unmarked.. Very Good/Wraps.

George Cross BooksProfessional seller

Book number: 17535

Catalogue: Computer Science

Keywords: Computer Science 0262530880

CLASTER, WILLIAM B.

Mathematics and Programming for Machine Learning With R From the Ground Up

Boca Raton, FL, CRC Press. 2020. (ISBN: 9780367507855). Paperback. Used, Paperback in very good condition. Cover edges and corners are slightly bumped and rubbed, with a crease to the rear lower corner. Page block is lightly blemished. Covers are clean, binding is sound and pages are clear. LW. Very Good.

PsychoBabel BooksProfessional seller

Book number: 611676

Catalogue: Computers & Technology (Incl. Ai)

Keywords: 9780367507855

FRAUKE ITZEROTT - COLLECTIF

Robotik und produktion N°6 november 2023- intelligent integriert nathlose synchronisierung von robotern und tracksystemen - marktubersicht alle cobots auf einen blick- roboter fur die batterieproduktion- KI und machine learning ...

ROBOTIK PRODUKTION, 2023. 2023. In-4. Broché. Bon état, Couv. convenable, Dos satisfaisant, Intérieur frais. 77 pages illustrées en couleur - en allemand. . . . Classification Dewey : 430-Langues germaniques. Allemand. .

Le-livre.comProfessional seller

Book number: RO20260856

Catalogue: LANGUES

DEAN,JARED

BIG DATA, DATA MINING AND MACHINE LEARNING value creation for business leaders and practioners

Hoboken 2014, hardcover with dust jacket 9781118618042 (code Sc-133)

Moby DickProfessional seller

Book number: 291003

Catalogue: Science

Keywords: programming

Ralf Der, Georg Martius (Autoren)

The Playful Machine: Theoretical Foundation and Practical Realization of Self-Organizing Robots Cognitive Systems Monographs, 15, Band 15 Informatik Theorie Studium Künstliche Intelligenz Robotik Mathematik Adaptive Systems Artificial Intelligence embodied cognition machine learning Roboter Robotics

, Springer Berlin Verlag, 2012. 335, , Hardcover . Zustand: 2. Autonomous robots may become our closest companions in the near future. While the technology for physically building such machines is already available today, a problem lies in the generation of the behavior for such complex machines. Nature proposes a solution: young children and higher animals learn to master their complex brain-body systems by playing. Can this be an option for robots? How can a machine be playful? The book provides answers by developing a general principle---homeokinesis, the dynamical symbiosis between brain, body, and environment---that is shown to drive robots to self- determined, individual development in a playful and obviously embodiment- related way: a dog-like robot starts playing with a barrier, eventually jumping or climbing over it; a snakebot develops coiling and jumping modes; humanoids develop climbing behaviors when fallen into a pit, or engage in wrestling-like scenarios when encountering an opponent. The book also develops guided self-organization, a new method that helps to make the playful machines fit for fulfilling tasks in the real world.The book provides two levels of presentation. Students and scientific researchers interested in the field of robotics, self-organization and dynamical systems theory may be satisfied by the in-depth mathematical analysis of the principle, the bootstrapping scenarios, and the emerging behaviors. But the book additionally comes with a robotics simulator inviting also the non- scientific reader to simply enjoy the fabulous world of playful machines by performing the numerous experiments. Content: 1.Introduction.- 2.Self-Organization in Nature and Machines.- 3.The Sensorimotor Loop. - 4.Principles of Self-Regulation - Homeostasis . - 5.A General Approach to Self-Organization - Homeokinesis.- 6.From Fixed-Point Flows to Hysteresis Oscillators.- 7.Symmetries, Resonances, and Second Order Hysteresis.- 8.Low Dimensional Robotic Systems.- 9.Model Learning.- 10.High-Dimensional Robotic Systems.- 11.Facing the Unknown - Homeokinesis in a New Representation*.- 12.Guided Self-Organization - A First Realization.- 13.Channeling Self-Organization.- 14.Reward-Driven Self-Organization.- 15.Algorithmic Implementation.- 16.The LPZROBOTS Simulator.- 17.Discussion and Perspectives.- List of Figures.- List of Videos.- List of Experiments.- References.- Index. Reihe/Serie Cognitive Systems Monographs ; 15 Vorwort Rolf Pfeifer Zusatzinfo XX, 335 p. Verlagsort Berlin Sprache englisch Informatik Theorie Studium Künstliche Intelligenz Robotik Mathematik Adaptive Systems Artificial Intelligence embodied cognition machine learning Roboter Robotics ISBN-10 3-642-20252-7 / 3642202527 ISBN-13 978-3-642-20252-0 / 9783642202520 ISBN: 3642202527. Gewicht/weight: 612 gr.

LLU BuchserviceProfessional seller

Book number: BN41523

Keywords: Informatik Theorie Studium Künstliche Intelligenz Robotik Mathematik Adaptive Systems Artificial Intelligence embodied cognition machine learning Roboter Robotics ISBN-10 3-642-20252-7 / 3642202527 ISBN-13 978-3-642-20252-0 / 9783642202520 Autonomous robo

Pedro Domingos

The Master Algorithm, How the Quest for the Ultimate Learning Machine Will Remake Our World

Penguin; Random House, 2017. Reprint, Softcover. Near Fine Condition/No Dust Jacket. 9780141979243 Crisp clean covers, tight binding, clean pages and inside covers. No dust jacket, as published. Quantity Available: 1. Shipped Weight: under 1 kg. ISBN: 0141979240. ISBN/EAN: 9780141979243. Pictures of this item not already displayed here available upon request. Inventory No: 02022011061. ISBN: 0141979240

Bailgate Books LtdProfessional seller

Book number: 02022011061

Catalogue: Science

Keywords: BZDB4 Science; Mathematics. ISBN: 0141979240 EAN: 9780141979243 Pedro Domingos The Master Algorithm, How the Quest for the Ultimate Learning Machine Will Remake Our World Mathematics

DOMINGOS Pedro :

The Master Algorithm. How the Quest for the Ultimate Learning Machine Will Remake Our World.

2. New York, Basic Books, 2015, in-8°, 311 pp, hardback with dust jacket. Fine copy of the original edition. .

Antiquariaat Wim de GoeijProfessional seller

Book number: 47363

Fu, K. S.

Sequential Methods in Pattern Recognition and Machine Learning

New York and London, Academic Press, 1968. xi, 227p. lightly chipped dj (Mathematics in science and engineering, 52). .

Hackenberg Booksellers ABAA ILABProfessional seller

Book number: 026743

Keywords: Mathematics Electrical Engineering

Galit Shmueli , Peter C. Bruce , Peter Gedeck , Inbal Yahav , Nitin R. Patel

Machine Learning for Business Analytics. Concepts, Techniques, and Applications in R

John Wiley & Sons, 2023. Hardcover. Pp: 688. MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning �"•also known as data mining or data analytics�"• is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the second R edition of Machine Learning for Business Analytics. This edition also includes: A new co-author, Peter Gedeck, who brings over 20 years of experience in machine learning using R An expanded chapter focused on discussion of deep learning techniques A new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learning A new chapter on responsible data science Updates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their students A full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniques End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology. ISBN: 9781119835172. Cond./Kwaliteit: Goed.

De SlegteProfessional seller

Book number: 3689031

Catalogue: Wetenschap

Keywords: 9781119835172

Guillaume Coqueret , Tony Guida

Machine Learning for Factor Investing. Python Version (Chapman and Hall/CRC Financial Mathematics Series)

CRC Press, 2023. Hardcover. Pp: 340. Machine learning (ML) is progressively reshaping the fields of quantitative finance and algorithmic trading. ML tools are increasingly adopted by hedge funds and asset managers, notably for alpha signal generation and stocks selection. The technicality of the subject can make it hard for non-specialists to join the bandwagon, as the jargon and coding requirements may seem out-of-reach. Machine learning for factor investing: Python version bridges this gap. It provides a comprehensive tour of modern ML-based investment strategies that rely on firm characteristics. The book covers a wide array of subjects which range from economic rationales to rigorous portfolio back-testing and encompass both data processing and model interpretability. Common supervised learning algorithms such as tree models and neural networks are explained in the context of style investing and the reader can also dig into more complex techniques like autoencoder asset returns, Bayesian additive trees and causal models. All topics are illustrated with self-contained Python code samples and snippets that are applied to a large public dataset that contains over 90 predictors. The material, along with the content of the book, is available online so that readers can reproduce and enhance the examples at their convenience. If you have even a basic knowledge of quantitative finance, this combination of theoretical concepts and practical illustrations will help you learn quickly and deepen your financial and technical expertise. ISBN: 9780367639747. Cond./Kwaliteit: Goed.

De SlegteProfessional seller

Book number: 3689194

Catalogue: Wetenschap

Keywords: 9780367639747

Huang, Kai-Zhu, Haiqin Yang and Irwin King:

Machine Learning. Modeling Data Locally and Globally. [Advanced Topics in Science and Technology in China].

Springer 2008. 179 p. Hardcover/Pappeinband Very good. Shrink wrapped. / Sehr guter Zustand. In Folie verschweisst. Free shipping within Germany. Shipping costs to EU-countries: 9.50 EUR, to non-EU-countries: 15.00 EUR.

Antiquariat Thomas HakerProfessional seller

Book number: 825407

Catalogue: Technik-Maschinen-Werkzeuge

Keywords: ISBN: 9783540794516

Kelleher, John D.; et al (text)

Fundamentals of Machine Learning for Predictive Data Analytics _ Algorithms, Worked Examples, and Case Studies

Cambridge, Mass, MIT Press, 2015. Hardcover Quarto. Hardcover. papered boards, 595 pp Standard shipping (no tracking or insurance) / Priority (with tracking) / Custom quote for large or heavy orders. Very good .

San Francisco Book CompanyProfessional seller

Book number: 92297

Catalogue: Science

Keywords: Computer