An Introduction to Machine Learning

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An Introduction to Machine Learning

An Introduction to Machine Learning

Miroslav Kubat

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यह पुस्तक आपको कितनी अच्छी लगी?

फ़ाइल की गुणवत्ता क्या है?

पुस्तक की गुणवत्ता का मूल्यांकन करने के लिए यह पुस्तक डाउनलोड करें

डाउनलोड की गई फ़ाइलों की गुणवत्ता क्या है?

श्रेणियाँ:

साल:

2017

संस्करण:

2nd ed. 2017

प्रकाशन:

Springer

भाषा:

english

पृष्ठ:

348

ISBN 10:

3319639129

ISBN 13:

9783319639123

फ़ाइल:

PDF, 2.32 MB

IPFS:

,

english, 2017

कॉपीराइट धारक की शिकायत के कारण यह पुस्तक डाउनलोड के लिए उपलब्ध नहीं है

Beware of he who would deny you access to information, for in his heart he dreams himself your master

— Pravin Lal

आप के लिए दिलचस्प हो सकता है

John Laird (eds.) — Proceedings of the Fifth International Conference on Machine Learning : June 12-14, 1988, University of Michigan, Ann Arbor, [Michigan]

Hal Daumé III — A Course in Machine Learning

Hal Daumé III — A Course in Machine Learning

Maimon O., Rokach L. — Decomposition Methodology for Knowledge Discovery and Data Mining. Theory and Application

Desconocido — Data Centric Systems And Applications Bing Liu Prof Dr Auth Web Data Mining Exploring Hyperlinks Contents And Usage Data Springer Berlin Heidelberg 2007

Edzard S Gelsema; International Workshop on Pattern Recognition in Practice — Multiple paradigms, comparative studies and hybrid systems : proceedings of an international workshop held on Vlieland, the Netherlands, 1 - 3 June 1994

Ludmila I. Kuncheva — Combining Pattern Classifiers: Methods and Algorithms

Nathalie Japkowicz, Mohak Shah — Evaluating Learning Algorithms: A Classification Perspective

John Laird — Machine Learning Proceedings 1988. Proceedings of the Fifth International Conference on Machine Learning, June 12–14, 1988, University of Michigan, Ann Arbor

Geoff Dougherty — Pattern Recognition and Classification: An Introduction

Edzard S. GELSEMA and Laveen S. KANAL (Eds.) — Pattern Recognition in Practice IV Multiple Paradigms, Comparative Studies and Hybrid Systems

Lewis N.D. — Learning from Data Made Easy with R: A Gentle Introduction for Data Science

Igor Kononenko, Matjaz Kukar — Machine Learning and Data Mining

Miroslav Kubat — An Introduction to Machine Learning

Unknown — An Introduction to Machine Learning 2nd Edition

Liu B. — Web data mining: Exploring hyperlinks, contents, and usage data

Hassan Aït-Kaci, Yutaka Sasaki (auth.), Luc De Raedt, Peter Flach (eds.) — Machine Learning: ECML 2001: 12th European Conference on Machine Learning Freiburg, Germany, September 5–7, 2001 Proceedings

Stuart Russell (auth.), Maarten van Someren, Gerhard Widmer (eds.) — Machine Learning: ECML-97: 9th European Conference on Machine Learning Prague, Czech Republic, April 23–25, 1997 Proceedings

Jacek Koronacki, Zbigniew W. Ras, Slawomir T. Wierzchon, Janusz Kacprzyk — Software Engineering Research, Management and Applications 2009

Lior Rokach — Ensemble Learning: Pattern Classification Using Ensemble Methods

Oded Z. Maimon, Lior Rokach — Decomposition Methodology For Knowledge Discovery And Data Mining: Theory And Applications

Witten, Ian H. & Eibe Frank & Mark A. Hall — Data Mining: Practical Machine Learning Tools and Techniques: Practical Machine Learning Tools and Techniques (The Morgan Kaufmann Series in Data Management Systems)

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