Idioma: Inglés
Publicado por Independently published, 2019
ISBN 10: 1086956761 ISBN 13: 9781086956764
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 9,76
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 13,95
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 14,21
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 15,98
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 18,44
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Independently published, 2019
ISBN 10: 1086956761 ISBN 13: 9781086956764
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 13,31
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Print on Demand.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 86,68
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Tsinghua University Press, 2022
ISBN 10: 730259998X ISBN 13: 9787302599982
Librería: liu xing, Nanjing, JS, China
EUR 77,84
Cantidad disponible: 1 disponibles
Añadir al carritopaperback. Condición: New. Language:Chinese.Paperback. Pub Date: 2022-02-01 Pages: 268 Publisher: Tsinghua University Press This book is based on Python and uses the Sklearn platform to gradually guide readers to familiarize themselves with and master the classic algorithms of machine learning. The book consists of 12 chapters. the main contents include artificial intelligence overview. Python scientific computing. data cleaning and feature preprocessing. data division and feature extraction. feature dimensionality red.
Idioma: Inglés
Publicado por Springer Nature Singapore, Springer Nature Singapore, 2025
ISBN 10: 9819667909 ISBN 13: 9789819667901
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 69,16
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces pattern mining by presenting various pattern mining techniques and giving hands-on experience with each technique. Pattern mining is a popular data mining technique with many real-world applications, and involves discovering all user interest-based patterns that may exist in a database. Several models and numerous algorithms were described in the literature to find these patterns in binary databases, quantitative databases, uncertain databases, and streams. Since the lack of a Python toolkit containing these algorithms has limited the wide adaptability of pattern-mining techniques, the author developed Pattern Mining (PAMI) Python library, which currently contains 80+ algorithms to discover useful patterns in transactional databases, temporal databases, quantitative databases, and graphs.The book consists of three main parts: Introduction: The first chapter introduces big data, types of learning techniques, and the importance of pattern mining. The second chapter introduces the PAMI library, its organizational structure, installation, and usage. Pattern mining algorithms and examples: The following chapters present the state-of-the-art techniques for discovering user interest-based patterns in (1) transactional databases, (2) temporal databases, (3) quantitative databases, (4) uncertain databases, (5) sequential databases, and (6) graphs.
Idioma: Inglés
Publicado por Independently Published, 2019
ISBN 10: 1086956761 ISBN 13: 9781086956764
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 15,69
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Idioma: Chino
Publicado por Tsinghua University Press, 2022
ISBN 10: 730259998X ISBN 13: 9787302599982
Librería: liu xing, Nanjing, JS, China
EUR 77,84
Cantidad disponible: 3 disponibles
Añadir al carritopaperback. Condición: New. Language:Chinese.Paperback. Pub Date: 2022-02-01 Pages: 268 Publisher: Tsinghua University Press This book is based on Python and uses the Sklearn platform to gradually guide readers to familiarize themselves with and master the classic algorithms of machine learning. The book consists of 12 chapters. the main contents include artificial intelligence overview. Python scientific computing. data cleaning and feature preprocessing. data division and feature extraction. feature dimensionality red.
Idioma: Chino
Publicado por Tsinghua University Press, 2020
ISBN 10: 7302559287 ISBN 13: 9787302559283
Librería: liu xing, Nanjing, JS, China
EUR 94,11
Cantidad disponible: 3 disponibles
Añadir al carritopaperback. Condición: New. Language:Chinese.Paperback. Pub Date: 2020-09-01 Pages: 252 Publisher: Tsinghua University Press This book discusses the basic problems and basic algorithms of machine learning.?For the purpose of facilitating learning. this book mainly organizes related content in seven topics: clustering tasks. regression tasks. classification tasks. labeling tasks. probability models. neural network models. and deep learning models.?The first four topics discuss related algorithms and basic knowledge with .
Librería: Majestic Books, Hounslow, Reino Unido
EUR 86,93
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 87,99
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.
Librería: preigu, Osnabrück, Alemania
EUR 57,90
Cantidad disponible: 5 disponibles
Añadir al carritoBuch. Condición: Neu. Hands-on Pattern Mining | Theory and Examples with PAMI, Sklearn, Keras, and TensorFlow | Uday Kiran Rage | Buch | xvii | Englisch | 2025 | Springer | EAN 9789819667901 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.