Search results for “[subject: data-science-machine-learning]”

• Author(s): Tashman | Adam P. • Publisher: Taylor & Francis • Publisher Imprint: Chapman Hall • Subject: Mathematics and Statistics • BISAC: Probability & Statistics - GeneralThe breadth of problems that can be solved with data science i...

• Author(s): Mathar | Rudolf • Publisher: Springer Verlag • Publisher Imprint: Springer • Subject: Mathematics and Statistics • BISAC: Probability & Statistics - GeneralThis book introduces the basic methodologies for successful data analytic...

• Author(s): Lan • Publisher: Springer Verlag • Publisher Imprint: Springer • Subject: Mathematics and Statistics • BISAC: AppliedFrom the Back CoverThis book covers not only foundational materials but also the most recent progresses made during ...

• Author(s): Filippo De Mari • Publisher: Springer Verlag • Publisher Imprint: Springer • Subject: Mathematics and Statistics • BISAC: Mathematical AnalysisFrom the Back CoverDeep connections exist between harmonic and applied analysis and the di...

• Author(s): Harsh Bhasin • Publisher: Oxford UP • Publisher Imprint: Oxford UP • Subject: Mathematics and Statistics • BISAC: Discrete MathematicsAlgorithms: Design and Analysis of is a textbook designed for the undergraduate and postgraduate st...

• Author(s): Timbers | Tiffany • Publisher: Taylor & Francis • Publisher Imprint: Chapman Hall • Subject: Mathematics and Statistics • BISAC: Probability & Statistics - GeneralData Science: A First Introduction focuses on using the R prog...

• Author(s): Estrellado | Ryan A. • Publisher: Taylor & Francis • Publisher Imprint: Routledge • Subject: Mathematics and Statistics • BISAC: ResearchData Science in Education Using R is the go-to reference for learning data science in the ed...

• Author(s): Cerulli | Giovanni • Publisher: Springer Verlag • Publisher Imprint: Springer • Subject: Mathematics and Statistics • BISAC: Mathematical & Statistical SoftwareFrom the Back CoverThis book presents the fundamental theoretical not...

• Author(s): Chikio Hayashi | K. Yajima • Publisher: Springer Verlag • Publisher Imprint: Springer V • Subject: Mathematics and Statistics • BISAC: Probability & Statistics - GeneralThis volume, Data Science, Classification, and Related Metho...

• Author(s): Jeffrey C. Chen • Publisher: Springer Verlag • Publisher Imprint: Springer • Subject: Economics • BISAC: Counting & NumerationThis textbook presents the essential tools and core concepts of data science to public officials, polic...

• Author(s): Schonlau | Matthias • Publisher: Springer Verlag • Publisher Imprint: Springer • Subject: Mathematics and Statistics • BISAC: Mathematical & Statistical SoftwareFrom the Back CoverThis textbook provides an accessible overview of ...

• Author(s): Ovidiu Calin • Publisher: Springer Verlag • Publisher Imprint: Springer • Subject: Mathematics and Statistics • BISAC: AppliedAbout the Book This book describes how neural networks operate from the mathematical point of view. As a re...

• Author(s): Matloff • Publisher: Taylor & Francis • Publisher Imprint: Chapman Hall • Subject: Mathematics and Statistics • BISAC: StatisticsAbout the Book Probability and Statistics for Data Science: Math + R + Data covers "math stat"--dist...

• Author(s): Nickolay Trendafilov • Publisher: Springer Verlag • Publisher Imprint: Springer • Subject: Mathematics and Statistics • BISAC: Counting & NumerationThis graduate-level textbook aims to give a unified presentation and solution of ...

• Author(s): Kauermann | Göran • Publisher: Springer Verlag • Publisher Imprint: Springer • Subject: Mathematics and Statistics • BISAC: Probability & Statistics - GeneralFrom the Back CoverThis textbook provides a comprehensive introduction ...

• Author(s): Carter • Publisher: Taylor & Francis • Publisher Imprint: Chapman Hall • Subject: Mathematics and Statistics • BISAC: AppliedMathematicians have skills that, if deepened in the right ways, would enable them to use data to answer ...

• Author(s): Baron • Publisher: Taylor & Francis • Publisher Imprint: Chapman Hall • Subject: Mathematics and Statistics • BISAC: Probability & Statistics - Bayesian AnalysisAbout the Book Praise for the Second Edition: "The author has do...

• Author(s): Keydana | Sigrid • Publisher: Taylor & Francis • Publisher Imprint: Chapman Hall • Subject: Mathematics and Statistics • BISAC: Statisticstorch is an R port of PyTorch, one of the two most-employed deep learning frameworks in ind...

• Author(s): Deborah Nolan • Publisher: Oxford UP • Publisher Imprint: Oxford UP • BISAC: Philosophy & Social AspectsCommunication is a critical yet often overlooked part of data science. Communicating with Data aims to help students and rese...

• Author(s): Sergei Pereverzyev • Publisher: Springer Verlag • Publisher Imprint: Springer • Subject: Mathematics and Statistics • BISAC: Functional AnalysisThis textbook provides an in-depth exploration of statistical learning with reproducing k...

• Author(s): Lin | Hui • Publisher: Taylor & Francis • Publisher Imprint: Chapman Hall • Subject: Mathematics and Statistics • BISAC: StatisticsThis book aims to increase the visibility of data science in real-world, which differs from what y...

• Author(s): Panos M. Pardalos • Publisher: Springer Verlag • Publisher Imprint: Springer • Subject: Mathematics and Statistics • BISAC: AppliedFrom the Back CoverThis volume offers a wealth of interdisciplinary approaches to artificial intellige...

• Author(s): Lin | Sarah • Publisher: Taylor & Francis • Publisher Imprint: Chapman Hall • Subject: Mathematics and Statistics • BISAC: StatisticsLibrarians understand the need to store, use and analyze data related to their collection, patro...

• Author(s): Ryan Kennedy • Publisher: Taylor & Francis • Publisher Imprint: Chapman Hall • Subject: Mathematics and Statistics • BISAC: Probability & Statistics - GeneralIntroduction to R for Social Scientists: A Tidy Programming Approac...

• Author(s): Andrienko | Natalia • Publisher: Springer Verlag • Publisher Imprint: Springer • Subject: Mathematics and Statistics • BISAC: Data Science - Data AnalyticsFrom the Back CoverThis textbook presents the main principles of visual analyt...

• Author(s): Dayal | Vikram • Publisher: Springer Verlag • Publisher Imprint: Springer Verlag • Subject: Mathematics and Statistics • BISAC: Game TheoryFrom the Back CoverThis book provides a contemporary treatment of quantitative economics, with...

• Author(s): Huang | Changquan • Publisher: Springer Verlag • Publisher Imprint: Springer • Subject: Mathematics and Statistics • BISAC: Probability & Statistics - GeneralThis textbook presents methods and techniques for time series analysis ...

• Author(s): Castellani • Publisher: Sage Publications • Publisher Imprint: Sage Publications • Subject: Mathematics and Statistics • BISAC: StatisticsThis book offers a much needed critical introduction to data mining and 'big data'. Supported b...

• Author(s): Pham • Publisher: Springer Verlag • Publisher Imprint: Springer • Subject: Mathematics and Statistics • BISAC: Quality ControlFrom the Back CoverThis handbook gathers the full range of statistical techniques and tools required by eng...

• Author(s): Examinations | London College Of Music • Publisher: Independently Published • Publisher Imprint: Independently Published • BISAC: Data Science - Neural NetworksEasily Boost Your Skills In Python Programming & Become A Master In D...