Thema Data Mining – alle Bücher online kaufen

Frank Acito
Predictive Analytics with KNIME

This book is about data analytics, including problem definition, data preparation, and data analysis. A variety of techniques (e.g., regression, logistic regression, cluster analysis, neural nets, decisio…

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Charu C. Aggarwal
Neural Networks and Deep Learning

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly import…

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Joyce Kay Avila
Hands-On Salesforce Data Cloud

> > This book will help you: Develop a plan to execute a CDP project effectively and efficiently Connect Data Cloud to external data sources and build out a Customer 360 Data Model Leverage data shar…

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Adil Bagirov, Sona Taheri, Napsu Karmitsa
Partitional Clustering via Nonsmooth Optimization

This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gi…

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Rainer Bernnat, Jordan Pötsch
Regulierung von Künstlicher Intelligenz in der EU

Dieses Buch bietet eine praxisorientierte Einführung in die Regulierung von Künstlicher Intelligenz (KI) in der EU. Es vereint theoretisches Wissen mit konkreten Handlungsempfehlungen zur Umsetzung von KI…

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Massimo Buscema, Masoud Asadi-Zeydabadi, Giulia Massini, Francesca Della Torre
The Topological Weighted Centroid: A New Vision of Geographic Profiling

This book introduces the Topological Weighed Centroid approach and describes some applications in the study of the dynamics of various spatial phenomena with a special emphasis on the spatial analysis of …

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Field Cady
The Data Science Handbook

Practical, accessible guide to becoming a data scientist, updated to include the latest advances in data science and related fields. Becoming a data scientist is hard. The job focuses on mathematical tool…

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Dany Cajas
Advanced Portfolio Optimization

This book is an innovative and comprehensive guide that provides readers with the knowledge about the latest trends, models and algorithms used to build investment portfolios and the practical skills nece…

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Erik Cambria
Understanding Natural Language Understanding

About half a century ago, AI pioneers like Marvin Minsky embarked on the ambitious project of emulating how the human mind encodes and decodes meaning. While today we have a better understanding of the br…

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Dalia Chakrabarty
Learning in the Absence of Training Data

This book introduces the concept of bespoke learning , a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable.…

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Potter C. Chang
Data Analysis of Medical Studies

This book is written for the many health professionals who are regularly frustrated by elegant but ambiguous descriptions of results of data analysis. It uses articles of the New England Journal of Medici…

lieferbar ab 5.7.2025.

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Tin-Chih Toly Chen
Explainable and Customizable Job Sequencing and Scheduling

This book systematically reviews the progress in explainable AI (XAI) and introduces the methods, tools, and applications of XAI technologies in job sequencing and scheduling. Relevant references and real…

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Jürgen Cleve, Uwe Lämmel
Data Mining

De Gruyter Studium

Data Mining liefert Grundlagen für die Künstliche Intelligenz, indem es Technologien für die Analyse großer Datenmengen bereitstellt. Das Buch deckt den Stoff einer einsemestrigen Vorlesung an Universität…

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Nick Couldry, Ulises A. Mejias,
Datenraub - Der neue Kolonialismus von Big Tech und wie wir uns dagegen wehren können

Wir leben in einer neuen Form von Kolonialismus, das zeigen die weltweit renommierten Forscher Nick Couldry und Ulises A. Mejias, die das Konzept des Datenkolonialismus begründet haben. In der Vergangenhe…

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Kerstin Denecke
Sentiment Analysis in the Medical Domain

Sentiment analysis deals with extracting information about opinions, sentiments, and even emotions conveyed by writers towards topics of interest. Medical sentiment analysis refers to the identification a…

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Frank Emmert-Streib, Matthias Dehmer, Salissou Moutari
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R

The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both the presentation of meth…

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Eric Gaze, McKenzie Lamb
Data Analytics Toolkit

Expand your data analysis toolkit with Python, R, and TableauData Analytics Common Core is designed to help professionals transition from spreadsheet-based analysis to more powerful tools like Python, R, …

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Charles Givre
Applied Data Science for Cybersecurity

Discover how to apply contemporary data science and machine learning to cybersecurity In Applied Data Science for Cybersecurity, experienced data science and cybersecurity professional Charles Givre deliv…

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Jiongjiong Gu
Gu, J: Cloud Computing Architecture

The book begins by establishing the concept of cloud computing and describing the technological trends, and then discusses cloud computing architecture connotation and key technologies such as computing, …

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Weili Guan, Liqiang Nie, Dongliang Zhou, Xuemeng Song
Advanced Multimodal Compatibility Modeling and Recommendation

This Second Edition sheds light on state-of-the-art theories and practices in multimodal compatibility modeling and recommendation, offering comprehensive insights into this evolving field. This topic, an…

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