Hands-On Simulation Modeling with Python
Hands-On Simulation Modeling with Python, Second Edition teaches you how to leverage Python to develop simulation models and use various Python packages. The book will help you explore various numerical simulation algorithms and concepts, such as the Markov Decision Process, Monte Carlo methods, and bootstrapping techniques.
Offered by
Difficulty Level
Intermediate
Completion Time
15h20m
Language
English
About Book
Who Is This Book For?
This book is for data scientists, simulation engineers, and anyone who is already familiar with the basic computational methods and wants to implement various simulation techniques such as Monte-Carlo methods and statistical simulation using Python.
Hands-On Simulation Modeling with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 15h20m total length
Introducing simulation models
Understanding Randomness and Random Numbers
Probability and Data Generating Process
Working with Monte Carlo Simulations
Simulation-Based Markov Decision Process
Resampling methods
Improving and optimizing systems
Introducing evolutionary systems
Simulation models for Financial Engineering
Simulating Physical Phenomena by Neural Networks
Modeling and Simulation for Project Management
Simulation Model for Fault Diagnosis in dynamic system
What is next?
Related Resources
Access Ready-to-Use Books for Free!
Get instant access to a library of pre-built books—free trial, no credit card required. Start training your team in minutes!