Machine Learning in Python: Essential Techniques for Predictive Analysis, Michael Bowles

Автор: Michael Bowles
Название: Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics
ISBN: 1119561930 ISBN-13(EAN): 9781119561934
Издательство: Wiley
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Цена: 40120.00 T
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Описание: Cambridge for DGB 2nd Edition is a four-level American English integrated skills series for the Upper Secondary public school market in Mexico. Its syllabus is strictly aligned to the national Direccion General del Bachillerato program. It is a series that offers teachers a hands-on and practical solution to teaching English in the classroom. It builds students` language skills from A1 to A2+ in the CEFR.

Автор: Miroslav Kubat
Название: An Introduction to Machine Learning
ISBN: 3319348868 ISBN-13(EAN): 9783319348865
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications.

Автор: Matthieu Cord; P?draig Cunningham
Название: Machine Learning Techniques for Multimedia
ISBN: 3642443621 ISBN-13(EAN): 9783642443626
Издательство: Springer
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Цена: 153720.00 T
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Описание: Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the domain from which the data is drawn, and to organize that data and improve the performance of the processes manipulating it.

Автор: Liang Wang; Guoying Zhao; Li Cheng; Matti Pietik?i
Название: Machine Learning for Vision-Based Motion Analysis
ISBN: 1447126076 ISBN-13(EAN): 9781447126072
Издательство: Springer
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Цена: 153720.00 T
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Описание: Based on contributions to the International Workshop on Machine Learning for Vision-Based Motion Analysis, this volume highlights the latest algorithms and systems for robust and effective vision-based motion understanding.

Автор: Christine Preisach; Hans Burkhardt; Lars Schmidt-T
Название: Data Analysis, Machine Learning and Applications
ISBN: 3540782397 ISBN-13(EAN): 9783540782391
Издательство: Springer
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Цена: 186290.00 T
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Описание: Contains the selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft fur Klassifikation - GfKl), which was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.

Автор: Isupova
Название: Machine Learning Methods for Behaviour Analysis and Anomaly Detection in Video
ISBN: 3319755072 ISBN-13(EAN): 9783319755076
Издательство: Springer
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Цена: 102480.00 T
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Описание: The book introduces novel Bayesian topic models for detection of events that are different from typical activities and a novel framework for change point detection for identifying sudden behavioural changes.Behaviour analysis and anomaly detection are key components of intelligent vision systems.

Автор: Nielsen Aileen
Название: Practical Time Series Analysis: Prediction with Statistics and Machine Learning
ISBN: 1492041653 ISBN-13(EAN): 9781492041658
Издательство: Wiley
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Цена: 67570.00 T
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Описание: Covering innovations in time series data analysis and use cases from the real world, this practical guide will help you solve the most common data engineering and analysis challenges in time series, using both traditional statistical and modern machine learning techniques.

Автор: Michael Stanley, Jongmin Lee
Название: Sensor Analysis for the Internet of Things
ISBN: 1681732890 ISBN-13(EAN): 9781681732893
Издательство: Mare Nostrum (Eurospan)
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Цена: 82230.00 T
Наличие на складе: Невозможна поставка.
Описание: While it may be attractive to view sensors as simple transducers which convert physical quantities into electrical signals, the truth of the matter is more complex. The engineer should have a proper understanding of the physics involved in the conversion process, including interactions with other measurable quantities. A deep understanding of these interactions can be leveraged to apply sensor fusion techniques to minimize noise and/or extract additional information from sensor signals.Advances in microcontroller and MEMS manufacturing, along with improved internet connectivity, have enabled cost-effective wearable and Internet of Things sensor applications. At the same time, machine learning techniques have gone mainstream, so that those same applications can now be more intelligent than ever before. This book explores these topics in the context of a small set of sensor types.We provide some basic understanding of sensor operation for accelerometers, magnetometers, gyroscopes, and pressure sensors. We show how information from these can be fused to provide estimates of orientation. Then we explore the topics of machine learning and sensor data analytics.

Автор: Patel Ankur A.
Название: Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
ISBN: 1492035645 ISBN-13(EAN): 9781492035640
Издательство: Wiley
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Цена: 67570.00 T
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Описание: Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras.

Автор: Thanasis Daradoumis; Stavros N. Demetriadis; Fatos
Название: Intelligent Adaptation and Personalization Techniques in Computer-Supported Collaborative Learning
ISBN: 3642447686 ISBN-13(EAN): 9783642447686
Издательство: Springer
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Цена: 121890.00 T
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Описание: This book reviews and analyzes new implementation perspectives for intelligent adaptive learning and collaborative systems, enabled by advances in scripting languages, IMS LD, educational modeling languages and learning activity management systems.

Автор: Louis A. Wehenkel
Название: Automatic Learning Techniques in Power Systems
ISBN: 1461374898 ISBN-13(EAN): 9781461374893
Издательство: Springer
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Цена: 121890.00 T
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Описание: Automatic learning is a complex, multidisciplinary field of research and development, involving theoretical and applied methods from statistics, computer science, artificial intelligence, biology and psychology.

Автор: B. S.P. Mishra; Satchidananda Dehuri; Euiwhan Kim;
Название: Techniques and Environments for Big Data Analysis
ISBN: 3319275186 ISBN-13(EAN): 9783319275185
Издательство: Springer
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Цена: 113190.00 T
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Описание: This volume is aiming at a wide range of readers andresearchers in the area of Big Data by presenting the recent advances in the fieldsof Big Data Analysis, as well as the techniques and tools used to analyze it.