Data Cleaning – alle Bücher, CDs und LPs online kaufen

Ralph Kimball, Joe Caserta
The Data Warehouse ETL Toolkit

The single most authoritative guide on the most difficult phase of building a data warehouse. The extract, transform, and load (ETL) phase of the data warehouse development life cycle is far and away the …

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Rhythmische Vorteile in Big Data und Machine Learning

Das Buch behandelt verschiedene Aspekte der Biophysik, beginnend mit einem populären Artikel über Neurobiologie und erstreckt sich bis zur Quantenbiologie, um letztendlich das Bewusstsein sowohl von Mensc…

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Stefan Selle
Data Science Training - Supervised Learning

Dieses Lehrbuch erklärt auf narrative und direkte Weise die wichtigen Zusammenhänge zwischen Data Science, Künstlicher Intelligenz und anderen Disziplinen und Domänen wie Datenschutz und Ethik, mit Fokus …

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Poliça

When We Stay Alive

Product Information When Poliça's Channy Leaneagh fell off her roof while clearing ice in early 2018, she smashed her L1 vertebrae and battered her spine, leaving her in a brace with limited mobility fo…

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Katherine Munro, Jeannette Gorzala, Gerald A. Hahn, Georg Langs
Handbuch Data Science und KI

Data Science, Big Data und künstliche Intelligenz gehören derzeit zu den Konzepten, über die in Industrie, Regierung und Gesellschaft am meisten diskutiert wird, die aber auch am meisten missverstanden we…

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Charlie Cunningham

In Light

"In Light" taucht tiefer in Cunninghams persönliches und kreatives Bewusstsein ein als je zuvor. Bekannt für seine vom Indie-Folk inspirierte Singer-Songwriter-Musik, die Emotionen und Stimmungen in intim…

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Mariyak
Enhancing Wastewater Analysis: A Data-Driven Approach with Machine Learning

Wastewater analysis, traditionally a meticulous but limited science, is undergoing a revolution. Machine learning (ML) is emerging as a powerful tool, transforming how we analyze wastewater and optimize t…

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Stefan Sandfeld
Materials Data Science

This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. Almost all methods an…

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Sharlin
Beyond Discipline: Using Data-Driven Systems to Create a Supportive Learning Environment

"Beyond Discipline" argues that while discipline is important, a strong learning environment relies more on data and support systems. The book proposes using information on student performance, behavior, …

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Krishna Garikipati
Data-driven Modelling and Scientific Machine Learning in Continuum Physics

This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science specifically in continuum physics. It develops the foundations and details a num…

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Machine Learning for Data Science Handbook

This book is a major update to the very successful first and second editions (2005 and 2010) of Data Mining and Knowledge Discovery Handbook. Since the last edition, this field has continued to evolve and…

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Pascual Pérez-Paredes, Alex Boulton
Data-Driven Learning in and Out of the Language Classroom

Data-Driven Learning (DDL) can be broadly defined as the use of corpus tools and techniques for learners and teachers of foreign or second language, typically in the form of concordances derived from auth…

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Mark Ryan, Luca Massaron
Machine Learning for Tabular Data

Business runs on tabular data in databases, spreadsheets, and logs. Crunch that data using deep learning, gradient boosting, and other machine learning techniques. Machine Learning for Tabular Data teach…

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David Spiegelhalter
The Art of Statistics

A guide to the power and potential of statistical science in relation to the age of big data, determining for instance the luckiest passenger on the Titanic, and whether screening for ovarian cancer is be…

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Pascual Pérez-Paredes, Alex Boulton
Data-Driven Learning in and Out of the Language Classroom

Data-Driven Learning (DDL) can be broadly defined as the use of corpus tools and techniques for learners and teachers of foreign or second language, typically in the form of concordances derived from auth…

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Vidya Subramanian
Applied Machine Learning for Data Science Practitioners

Applied Machine Learning for Data Science Practitioners Vidya Subramanian A single-volume reference on data science techniques for evaluating and solving business problems using Applied Machine Learning…

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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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Katherine Munro, Danko Nikolic, Stefan Papp, Wolfgang Weidinger
The Handbook of Data Science and AI

- A comprehensive overview of the various fields of application of data science and artificial intelligence. - Case studies from practice to make the described concepts tangible. - Practical examples to h…

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Tsutomu Sasao
Classification Functions for Machine Learning and Data Mining

This book introduces a novel perspective on machine learning, offering distinct advantages over neural network-based techniques. This approach boasts a reduced hardware requirement, lower power consumptio…

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Machine Learning Methods for Multi-Omics Data Integration

The advancement of biomedical engineering has enabled the generation of multi-omics data by developing high-throughput technologies, such as next-generation sequencing, mass spectrometry, and microarrays.…

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