Python

121.

Nonlinear Control of Uncertain Systems: Conventional and Learning-Based Alternatives with Python

出版日：2025/07/30 作者：Mazen Alamir 出版社：Springer Nature 裝訂：精裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

Python for Natural Language Processing: Programming with Numpy, Scikit-Learn, Keras, and Pytorch

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122.

Python for Natural Language Processing: Programming with Numpy, Scikit-Learn, Keras, and Pytorch

出版日：2025/07/11 作者：Pierre M. Nugues 出版社：Springer Nature 裝訂：平裝

優惠價： 1 3769

無庫存

123.

Elements of Network Science: Theory, Methods and Applications in Stata, R and Python

出版日：2025/05/16 作者：Antonio Zinilli 出版社：Springer Nature 裝訂：精裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

Silicon Valley Python Engineer Interview Guide: Data Structure, Algorithm, and System Design

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124.

Silicon Valley Python Engineer Interview Guide: Data Structure, Algorithm, and System Design

出版日：2025/03/22 作者：Jianfeng Ren 出版社：Springer Nature 裝訂：平裝

優惠價： 1 3769

無庫存

125.

Fundamentals of Supervised Machine Learning: With Applications in Python, R, and Stata

出版日：2024/11/15 作者：Giovanni Cerulli 出版社：Springer Nature 裝訂：平裝

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Data and Process Visualisation for Graphic Communication: A Hands-On Approach with Python

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126.

Data and Process Visualisation for Graphic Communication: A Hands-On Approach with Python

出版日：2024/06/04 作者：Francesco Bianconi 出版社：Springer Nature 裝訂：平裝

優惠價： 1 3189

無庫存

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127.

Python for Natural Language Processing: Programming with Numpy, Scikit-Learn, Keras, and Pytorch

出版日：2024/05/30 作者：Pierre M. Nugues 出版社：Springer Nature 裝訂：精裝

優惠價： 1 3769

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Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

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128.

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

出版日：2024/03/11 作者：Laura Igual 出版社：Springer Nature 裝訂：平裝

優惠價： 1 2899

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Introduction to Computation in Physical Sciences: Interactive Computing and Visualization with Python(tm)

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129.

Introduction to Computation in Physical Sciences: Interactive Computing and Visualization with Python(tm)

出版日：2024/02/09 作者：Jay Wang 出版社：Springer Nature 裝訂：平裝

優惠價： 1 3189

無庫存

130.

Fundamentals of Supervised Machine Learning: With Applications in Python, R, and Stata

出版日：2023/10/22 作者：Giovanni Cerulli 出版社：Springer Nature 裝訂：精裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

131.

A First Course in Statistical Learning: With Data Examples and Python Code

出版日：2023/08/05 作者：Johannes Lederer 出版社：Springer Nature 裝訂：精裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

132.

Multivariate Analysis and Machine Learning Techniques: Feature Analysis in Data Science Using Python

出版日：2023/04/26 作者：Srikrishnan Sundararajan 出版社：Springer Nature 裝訂：精裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

Introduction to Computation in Physical Sciences: Interactive Computing and Visualization with Python

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133.

Introduction to Computation in Physical Sciences: Interactive Computing and Visualization with Python

出版日：2022/11/15 作者：Jay Wang 出版社：Springer Nature 裝訂：精裝

優惠價： 1 3479

無庫存

134.

An Introduction to Statistics with Python: With Applications in the Life Sciences

出版日：2022/07/01 作者：Thomas Haslwanter 出版社：Springer Nature 裝訂：精裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

135.

Introduction to Machine Learning in the Cloud with Python: Concepts and Practices

出版日：2022/05/13 作者：Pramod Gupta 出版社：Springer Nature 裝訂：平裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

136.

Digital Filter Design Using Python for Power Engineering Applications: An Open Source Guide

出版日：2021/01/02 作者：Shivkumar Venkatraman Iyer 出版社：Springer Nature 裝訂：精裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

137.

Linear Algebra, Signal Processing, and Wavelets - a Unified Approach + Ereference ― Python Version

出版日：2019/02/22 作者：喕vind Ryan 出版社：Springer Nature 裝訂：精裝

This book offers a user friendly, hands-on, and systematic introduction to applied and computational harmonic analysis: to Fourier analysis, signal processing and wavelets; and to their interplay and

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

138.

Numerical Methods in Chemical Process Engineering Using Python: Tools for Modeling, Simulation, and Optimization

出版日：2026/07/01 作者：Hector Jorquera 出版社：Springer Nature 裝訂：精裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

Introduction to Machine Learning with Security: Theory and Practice Using Python in the Cloud

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139.

Introduction to Machine Learning with Security: Theory and Practice Using Python in the Cloud

出版日：2025/07/14 作者：Pramod Gupta 出版社：Springer Nature 裝訂：平裝

優惠價： 1 3189

無庫存

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140.

Introduction to Machine Learning with Security: Theory and Practice Using Python in the Cloud

出版日：2024/07/08 作者：Pramod Gupta 出版社：Springer Nature 裝訂：精裝

優惠價： 1 3189

無庫存

141.

Essentials of Excel Vba, Python, and R: Volume I: Financial Statistics and Portfolio Analysis

出版日：2024/01/17 作者：John Lee 出版社：Springer Nature 裝訂：平裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

Design of Heuristic Algorithms for Hard Optimization: With Python Codes for the Travelling Salesman Problem

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142.

Design of Heuristic Algorithms for Hard Optimization: With Python Codes for the Travelling Salesman Problem

出版日：2023/11/13 作者：Éric D. Taillard 出版社：Springer Nature 裝訂：平裝

優惠價： 1 2899

無庫存

143.

Essentials of Excel Vba, Python, and R: Volume I: Financial Statistics and Portfolio Analysis

出版日：2022/11/21 作者：John Lee 出版社：Springer Nature 裝訂：精裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

Kernel Methods for Machine Learning with Math and Python: 100 Exercises for Building Logic

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144.

Kernel Methods for Machine Learning with Math and Python: 100 Exercises for Building Logic

出版日：2022/05/15 作者：Joe Suzuki 出版社：Springer Nature 裝訂：平裝

優惠價： 1 3189

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Advanced Arduino Techniques in Science: Refine Your Skills and Projects with PCs or Python-Tkinter

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145.

Advanced Arduino Techniques in Science: Refine Your Skills and Projects with PCs or Python-Tkinter

出版日：2021/04/29 作者：Richard J. Smythe 出版社：Springer Nature 裝訂：平裝

優惠價： 1 1254

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146.

Fine-Kinney-Based Fuzzy Multi-Criteria Occupational Risk Assessment: Approaches, Case Studies and Python Applications

出版日：2020/11/26 作者：Muhammet Gul 出版社：Springer Nature 裝訂：精裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

147.

Credit Risk Modelling ― Theoretical Foundations, Diagnostic Tools, Practical Examples, and Numerical Recipes in Python

出版日：2018/11/04 作者：David Jamieson Bolder 出版社：Springer Nature 裝訂：精裝

The risk of counterparty default in banking, insurance, institutional, and pension-fund portfolios is an area of ongoing and increasing importance for finance practitioners. It is, unfortunately, a to

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

148.

Applied Linear Regression for Business Analytics with Python: A Practical Guide Using Ravix with Case Studies

出版日：2026/06/22 作者：Daniel P. McGibney 出版社：Springer Nature 裝訂：精裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

149.

A Practical Guide to Static and Dynamic Econometric Modelling: Examples and Analysis with Python Code Embedded

出版日：2025/06/11 作者：Sarit Maitra 出版社：Springer Nature 裝訂：精裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

150.

Essentials of Excel Vba, Python, and R: Volume II: Financial Derivatives, Risk Management and Machine Learning

出版日：2024/03/26 作者：John Lee 出版社：Springer Nature 裝訂：平裝

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151.

Essentials of Excel Vba, Python, and R: Volume II: Financial Derivatives, Risk Management and Machine Learning

出版日：2022/11/28 作者：John Lee 出版社：Springer Nature 裝訂：精裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

152.

Explainable AI with Python

出版日：2021/04/23 作者：Leonida Gianfagna 出版社：Springer Nature 裝訂：平裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

Data-Driven Project Management with Python: Optimizing Schedules, Simulating Risk and Analyzing Project Performance Through 10 Example Experiments

預購

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153.

Data-Driven Project Management with Python: Optimizing Schedules, Simulating Risk and Analyzing Project Performance Through 10 Example Experiments

出版日：2026/07/07 作者：Mario Vanhoucke 出版社：Springer Nature 裝訂：精裝

優惠價： 1 3769

預購中

154.

Machine-Learning Perspectives of Agent-Based Models: Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia

出版日：2025/06/29 作者：Pedro Campos(EDI) 出版社：Springer Nature 裝訂：精裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

155.

Gpt for Python-Coding in Computational Materials Science and Mechanics: From Prompt Engineering to Solutions in Worked-Out Examples

出版日：2025/05/12 作者：Bernhard Eidel(EDI) 出版社：Springer Nature 裝訂：精裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

Data Analysis with Machine Learning for Psychologists: Crash Course to Learn Python 3 and Machine Learning in 10 Hours

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156.

Data Analysis with Machine Learning for Psychologists: Crash Course to Learn Python 3 and Machine Learning in 10 Hours

出版日：2023/11/01 作者：Chandril Ghosh 出版社：Springer Nature 裝訂：平裝

優惠價： 1 3189

無庫存

157.

Algorithmic Decision Making with Python Resources: From Multicriteria Performance Records to Decision Algorithms Via Bipolar-Valued Outranking Digraph

出版日：2023/04/13 作者：Raymond Bisdorff 出版社：Springer Nature 裝訂：平裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

158.

Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment: With Examples in R and Python

出版日：2022/12/28 作者：Alina A. Von Davier(EDI) 出版社：Springer Nature 裝訂：平裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

159.

Data Analysis with Machine Learning for Psychologists: Crash Course to Learn Python 3 and Machine Learning in 10 Hours

出版日：2022/10/09 作者：Chandril Ghosh 出版社：Springer Nature 裝訂：精裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

160.

Algorithmic Decision Making with Python Resources: From Multicriteria Performance Records to Decision Algorithms via Bipolar-Valued Outranking Digraph

出版日：2022/04/30 作者：Raymond Bisdorff 出版社：Springer Nature 裝訂：精裝

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

熱搜：

Nonlinear Control of Uncertain Systems: Conventional and Learning-Based Alternatives with Python

Python for Natural Language Processing: Programming with Numpy, Scikit-Learn, Keras, and Pytorch

Elements of Network Science: Theory, Methods and Applications in Stata, R and Python

Silicon Valley Python Engineer Interview Guide: Data Structure, Algorithm, and System Design

Fundamentals of Supervised Machine Learning: With Applications in Python, R, and Stata

Data and Process Visualisation for Graphic Communication: A Hands-On Approach with Python

Python for Natural Language Processing: Programming with Numpy, Scikit-Learn, Keras, and Pytorch

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

Introduction to Computation in Physical Sciences: Interactive Computing and Visualization with Python(tm)

Fundamentals of Supervised Machine Learning: With Applications in Python, R, and Stata

A First Course in Statistical Learning: With Data Examples and Python Code

Multivariate Analysis and Machine Learning Techniques: Feature Analysis in Data Science Using Python

Introduction to Computation in Physical Sciences: Interactive Computing and Visualization with Python

An Introduction to Statistics with Python: With Applications in the Life Sciences

Introduction to Machine Learning in the Cloud with Python: Concepts and Practices

Digital Filter Design Using Python for Power Engineering Applications: An Open Source Guide

Linear Algebra, Signal Processing, and Wavelets - a Unified Approach + Ereference ― Python Version

Numerical Methods in Chemical Process Engineering Using Python: Tools for Modeling, Simulation, and Optimization

Introduction to Machine Learning with Security: Theory and Practice Using Python in the Cloud

Introduction to Machine Learning with Security: Theory and Practice Using Python in the Cloud

Essentials of Excel Vba, Python, and R: Volume I: Financial Statistics and Portfolio Analysis

Design of Heuristic Algorithms for Hard Optimization: With Python Codes for the Travelling Salesman Problem

Essentials of Excel Vba, Python, and R: Volume I: Financial Statistics and Portfolio Analysis

Kernel Methods for Machine Learning with Math and Python: 100 Exercises for Building Logic

Advanced Arduino Techniques in Science: Refine Your Skills and Projects with PCs or Python-Tkinter

Fine-Kinney-Based Fuzzy Multi-Criteria Occupational Risk Assessment: Approaches, Case Studies and Python Applications

Credit Risk Modelling ― Theoretical Foundations, Diagnostic Tools, Practical Examples, and Numerical Recipes in Python

Applied Linear Regression for Business Analytics with Python: A Practical Guide Using Ravix with Case Studies

A Practical Guide to Static and Dynamic Econometric Modelling: Examples and Analysis with Python Code Embedded

Essentials of Excel Vba, Python, and R: Volume II: Financial Derivatives, Risk Management and Machine Learning

Essentials of Excel Vba, Python, and R: Volume II: Financial Derivatives, Risk Management and Machine Learning

Explainable AI with Python

Data-Driven Project Management with Python: Optimizing Schedules, Simulating Risk and Analyzing Project Performance Through 10 Example Experiments

Machine-Learning Perspectives of Agent-Based Models: Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia

Gpt for Python-Coding in Computational Materials Science and Mechanics: From Prompt Engineering to Solutions in Worked-Out Examples

Data Analysis with Machine Learning for Psychologists: Crash Course to Learn Python 3 and Machine Learning in 10 Hours

Algorithmic Decision Making with Python Resources: From Multicriteria Performance Records to Decision Algorithms Via Bipolar-Valued Outranking Digraph

Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment: With Examples in R and Python

Data Analysis with Machine Learning for Psychologists: Crash Course to Learn Python 3 and Machine Learning in 10 Hours

Algorithmic Decision Making with Python Resources: From Multicriteria Performance Records to Decision Algorithms via Bipolar-Valued Outranking Digraph