
Guide to Intelligent Data Science by Michael R Berthold
Major updates on techniques and subject coverage (including deep learning) are included. Topics and features: guides the reader through the process of data science, following the interdependent steps of project understanding, data understanding, data blending and transformation, modeling, as well as deployment and monitoring;-
Java in Two Semesters
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The Algorithm Design Manual
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Guide to Discrete Mathematics
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The Discrete Math Workbook
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Computer Vision
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The Data Science Design Manual
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Programming Language Design and Implementation
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Guide to AI for Cybersecurity
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Guide to Graph Algorithms
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Theory of Computation
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Introduction to Databases
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Mathematical Foundations of Software Engineering
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Introduction to Assembly Language Programming
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Computability and Complexity Theory
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Understanding Concurrent Systems
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Software Reliability Methods
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Modal and Temporal Properties of Processes
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Deduction Systems
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Formal Languages and Compilation
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Verification of Sequential and Concurrent Programs
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Exploring Computational Geometry
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Guide to Numerical Algorithm Design and Development
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Fundamentals of the New Artificial Intelligence
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Foundational Java
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Guide to Graph Colouring
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Guide to Industrial Analytics
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Computational Intelligence
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Programming in Two Semesters
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Fundamentals of Computer Organization and Design
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Algorithms on Trees and Graphs
Rudolf Kruse is a full professor at the Department of Computer Science of the Otto-von-Guericke University of Magdeburg, Germany, where he leads the working group on computational intelligence. Christian Moewes and Pascal Held are research assistants at the same institution. Christian Borgelt is a principal researcher at the European Centre for Soft Computing, Mieres, Spain. Frank Klawonn is a Professor at the Department of Computer Science of Ostfalia University of Applied Sciences, Wolfenbuttel, Germany. Matthias Steinbrecher is a member of the SAP Innovation Center, Potsdam, Germany.
| SKU | Unavailable |
| ISBN 13 | 9783030455767 |
| ISBN 10 | 3030455769 |
| Title | Guide to Intelligent Data Science |
| Author | Michael R Berthold |
| Series | Texts In Computer Science |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2021-08-08 |
| Number of pages | 420 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |





























