Algorithmen & Datenstrukturen

Qin / Tang / Li

Reinforcement Learning in the Ridesharing Marketplace

Reinforcement Learning in the Ridesharing Marketplace

Reinforcement Learning in the Ridesharing Marketplace

Fachbuch2024SpringerISBN 978-3-031-59639-1

Vuppalapati

Artificial Intelligence and Data Science in Agriculture

Artificial Intelligence and Data Science in Agriculture

Artificial Intelligence and Data Science in Agriculture

Specialty Crops and Climate Change Modeling

Specialty Crops and Climate Change Modeling

Fachbuch2024De GruyterISBN 978-3-11-143841-2

Marrella / Resinas / Jans / Rosemann

Business Process Management

Business Process Management

Business Process Management

22nd International Conference, BPM 2024, Krakow, Poland, September 1–6, 2024, Proceedings

22nd International Conference, BPM 2024, Krakow, Poland, September 1–6, 2024, Proceedings

Fachbuch2024SpringerISBN 978-3-031-70395-9

Vanhoucke

A Quest for Projects with Scarce Resources

A Quest for Projects with Scarce Resources

A Quest for Projects with Scarce Resources

Seeking Schedule Intelligence Through Project Data Discovery

Seeking Schedule Intelligence Through Project Data Discovery

Fachbuch2024SpringerISBN 978-3-031-71506-8

Vanhoucke

The Illusion of Control

The Illusion of Control

The Illusion of Control

Project Data, Computer Algorithms and Human Intuition for Project Management and Control

Project Data, Computer Algorithms and Human Intuition for Project Management and Control

Fachbuch2024Springer Nature SwitzerlandISBN 978-3-031-31787-3

Rothe

Economics and Computation

Economics and Computation

Economics and Computation

An Introduction to Algorithmic Game Theory, Computational Social Choice, and Fair Division

An Introduction to Algorithmic Game Theory, Computational Social Choice, and Fair Division

Fachbuch2., Second Edition 20242024SpringerISBN 978-3-031-60098-2

2., Second Edition 2024

Tkachenko

Data Insight Foundations

Data Insight Foundations

Data Insight Foundations

Step-by-Step Data Analysis with R

Step-by-Step Data Analysis with R

Fachbuch2024ApressISBN 9798868805790

Barua / Hiran / Jain

Machine Learning with Python

Machine Learning with Python

Machine Learning with Python

Fachbuch2024De GruyterISBN 978-3-11-069716-2

Laaksonen

Guide to Competitive Programming

Guide to Competitive Programming

Guide to Competitive Programming

Learning and Improving Algorithms Through Contests

Learning and Improving Algorithms Through Contests

Fachbuch3., Third Edition 20242024SpringerISBN 978-3-031-61793-5

3., Third Edition 2024

Zeigermann / Nguyen

Machine Learning - kurz & gut

Machine Learning - kurz & gut

Machine Learning - kurz & gut

Eine Einführung mit Python, Scikit-Learn und TensorFlow

Eine Einführung mit Python, Scikit-Learn und TensorFlow

Fachbuch3. Auflage2024dpunkt.verlag GmbHISBN 978-3-96009-236-0

3. Auflage

Steinkamp

Mathematische Algorithmen mit Python

Mathematische Algorithmen mit Python

Mathematische Algorithmen mit Python

Vom Sieb des Eratosthenes bis zur RSA-Verschlüsselung – Mathe-Klassiker verstehen u. Python trainieren – Ausgabe 2024

Vom Sieb des Eratosthenes bis zur RSA-Verschlüsselung – Mathe-Klassiker verstehen u. Python trainieren – Ausgabe 2024

Fachbuch2. Auflage2024Rheinwerk VerlagISBN 978-3-367-10005-7

2. Auflage

Zak

How to Solve Real-world Optimization Problems

How to Solve Real-world Optimization Problems

How to Solve Real-world Optimization Problems

From Theory to Practice

From Theory to Practice

Fachbuch2024SpringerISBN 978-3-031-49837-4

Kautschitsch / Kadunz

Elemente der Codierungstheorie

Elemente der Codierungstheorie

Elemente der Codierungstheorie

Besser sehen, besser hören, besser informieren

Besser sehen, besser hören, besser informieren

Fachbuch2024Springer SpektrumISBN 978-3-662-67519-9

Quarteroni

Modellieren der Realität mit Mathematik

Modellieren der Realität mit Mathematik

Modellieren der Realität mit Mathematik

Fachbuch2024Springer Nature SwitzerlandISBN 978-3-031-58402-2

Heuss / Low / Wierman

Combinatorics, Graph Theory and Computing

Combinatorics, Graph Theory and Computing

Combinatorics, Graph Theory and Computing

SEICCGTC 2022, Boca Raton, USA, March 7–11

SEICCGTC 2022, Boca Raton, USA, March 7–11

Fachbuch2024SpringerISBN 978-3-031-62165-9

Tekli / Gamper / Chbeir / Manolopoulos / Sassi / Ivanovic / Vargas-Solar / Zumpano

New Trends in Database and Information Systems

New Trends in Database and Information Systems

New Trends in Database and Information Systems

ADBIS 2024 Short Papers, Workshops, Doctoral Consortium and Tutorials, Bayonne, France, August 28–31, 2024, Proceedings

ADBIS 2024 Short Papers, Workshops, Doctoral Consortium and Tutorials, Bayonne, France, August 28–31, 2024, Proceedings

Fachbuch2024SpringerISBN 978-3-031-70420-8

Hughes / Houghten / Dube

AI Versus the Coronavirus

AI Versus the Coronavirus

AI Versus the Coronavirus

Fachbuch2024SpringerISBN 978-3-031-64372-9

Mathieu / De la Prieta

Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection

Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection

Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection

22nd International Conference, PAAMS 2024, Salamanca, Spain, June 26–28, 2024, Proceedings

22nd International Conference, PAAMS 2024, Salamanca, Spain, June 26–28, 2024, Proceedings

Fachbuch2024SpringerISBN 978-3-031-70414-7

Ben-Naim / Dufour

Information Theory

Information Theory

Information Theory

An Exploration Across Disciplines

An Exploration Across Disciplines

Fachbuch2024SpringerISBN 978-3-031-67746-5

Dorronsoro / Ellaia / Talbi

Metaheuristics and Nature Inspired Computing

Metaheuristics and Nature Inspired Computing

Metaheuristics and Nature Inspired Computing

9th International Conference, META 2023, Marrakech, Morocco, November 1–4, 2023, Revised Selected Papers

9th International Conference, META 2023, Marrakech, Morocco, November 1–4, 2023, Revised Selected Papers

Fachbuch2024SpringerISBN 978-3-031-69256-7