Best Computer Simulation Books

The 10 Best Computer Simulation Books list have been recommended not only by normal readers but also by experts.

1. Interpretable Machine Learning with Python: Learn to build interpretable high-performance models with hands-on real-world examples

Author: by Serg Masís
736 pages

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Understand the key aspects and challenges of machine learning interpretability, learn how to overcome them with interpretation methods, and leverage them to build fairer, safer, and more reliable modelsKey FeaturesLearn how to extract easy-to-understand insights from any machine learning modelBecome well-versed with interpretability techniques to build fairer, safer, and more reliable modelsMitigate risks in AI systems before they have broader implications by learning how to debug black-box modelsBook DescriptionDo you want to understand your models and mitigate risks associated with poor predictions using machine learning (ML) interpretation?

Interpretable Machine Learning with Python can help you work effectively with ML models. The first section of the book is a beginner’s guide to interpretability, covering its relevance in business and exploring its key aspects and challenges. You’ll focus on how white-box models work, compare them to black-box and glass-box models, and examine their trade-off.

2. Practical Autodesk AutoCAD 2021 and AutoCAD LT 2021: A no-nonsense, beginner's guide to drafting and 3D modeling with Autodesk AutoCAD

Author: by Yasser Shoukry
Packt Publishing
826 pages

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Learn 2D drawing and 3D modeling from scratch using AutoCAD 2021 and its more affordable LT version to become a CAD professional Key Features Explore the AutoCAD GUI, file format, and drawing tools to get started with CAD projects Learn to use drawing management tools for working efficiently on large projects Discover techniques for creating, modifying, and managing 3D models and converting 2D plans into 3D models Book Description AutoCAD and AutoCAD LT are one of the most versatile software applications for architectural and engineering designs and the most popular computer-aided design (CAD) platform for 2D drafting and 3D modeling.

This hands-on guide will take you through everything you need to know to make the most out of this powerful tool, starting from a simple tour of the user interface through to using advanced tools. Starting with basic drawing shapes and functions, you’ll get to grips with the fundamentals of CAD designs.

You’ll then learn about effective drawing management using layers, dynamic blocks, and groups and discover how to add annotations and plot like professionals. The book delves into 3D modeling and helps you convert your 2D drawings into 3D models and shapes.

3. Introduction to Algorithms (Eastern Economy Edition)

Author: by Cormen
1312 pages

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This internationally acclaimed textbook provides a comprehensive introduction to the modern study of computer algorithms. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively selfcontained and presents an algorithm, a design technique, an application area, or a related topic.

The algorithms are described and designed in a manner to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The third edition has been revised and updated throughout.

It includes two completely new chapters, on Van Emde Boas trees and Multithreaded algorithms, and substantial additions to the chapter on recurrences (now called Divide and Conquer). It features improved treatment of dynamic programming and greedy algorithms and a new notion of edgebased flow in the material on flow networks.

Many new exercises and problems have been added in this edition. The text is intended primarily for students studying algorithms or data structures. As it discusses engineering issues in algorithm design, as well as mathematical aspects, it is equally well suited for selfstudy by technical professionals.

4. Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success

Author: by Robert S. Seiner
Technics Publications
146 pages

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Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization.

Non-Invasive Data Governance focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program.

Learn how: Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods.

5. If Then: How the Simulmatics Corporation Invented the Future

Author: by Jill Lepore
432 pages

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Longlisted National Book Award (Nonfiction) Best Books of 2020 Financial Times Best Books of Fall 2020: O, The Oprah Magazine, The Observer, Boston. Com Most Anticipated Books of Fall 2020: TIMEA revelatory account of the Cold War origins of the data-mad, algorithmic twenty-first century, from the author of the acclaimed international bestseller These Truths.

The Simulmatics Corporation, launched during the Cold War, mined data, targeted voters, manipulated consumers, destabilized politics, and disordered knowledgedecades before Facebook, Google, and Cambridge Analytica. Jill Lepore, best-selling author of These Truths, came across the company’s papers in MIT’s archives and set out to tell this forgotten history, the long-lost backstory to the methods, and the arrogance, of Silicon Valley.

Founded in 1959 by some of the nation’s leading social scientiststhe best and the brightest, fatally brilliant, Icaruses with wings of feathers and wax, flying to the sunSimulmatics proposed to predict and manipulate the future by way of the computer simulation of human behavior.

6. Blender 3D By Example: A project-based guide to learning the latest Blender 3D, EEVEE rendering engine, and Grease Pencil, 2nd Edition

Author: by Oscar Baechler
Packt Publishing
658 pages

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Get up and running with Blender 3D through a series of practical projects that will help you learn core concepts of 3D design like modeling, sculpting, materials, textures, lighting, and rigging using the latest features of Blender 2. 83 Key Features Learn the basics of 3D design and navigate your way around the Blender interface Understand how 3D components work and how to create 3D content for your games Familiarize yourself with 3D Modeling, Texturing, Lighting, Rendering and Sculpting with Blender Book Description Blender is a powerful 3D creation package that supports every aspect of the 3D pipeline.

With this book, you’ll learn about modeling, rigging, animation, rendering, and much more with the help of some interesting projects. This practical guide, based on the Blender 2. 83 LTS version, starts by helping you brush up on your basic Blender skills and getting you acquainted with the software toolset.

You’ll use basic modeling tools to understand the simplest 3D workflow by customizing a Viking themed scene. You’ll get a chance to see the 3D modeling process from start to finish by building a time machine based on provided concept art.

7. Database Design for Mere Mortals: A Hands-On Guide to Relational Database Design

Author: by Michael Hernandez
672 pages

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The #1 Easy, Commonsense Guide to Database Design!Michael J. Hernandez’s best-selling Database Design for Mere Mortals has earned worldwide respect as the clearest, simplest way to learn relational database design. Now, he’s made this hands-on, software-independent tutorial even easier, while ensuring that his design methodology is still relevant to the latest databases, applications, and best practices.

Step by step, Database Design for Mere Mortals, Third Edition, shows you how to design databases that are soundly structured, reliable, and flexible, even in modern web applications. Hernandez guides you through everything from database planning to defining tables, fields, keys, table relationships, business rules, and views.

You’ll learn practical ways to improve data integrity, how to avoid common mistakes, and when to break the rules. Coverage includes Understanding database types, models, and design terminology Discovering what good database design can do for youand why bad design can make your life miserable Setting objectives for your database, and transforming those objectives into real designs Analyzing a current database so you can identify ways to improve it Establishing table structures and relationships, assigning primary keys, setting field specifications, and setting up views Ensuring the appropriate level of data integrity for each application Identifying and establishing business rules Whatever relational database systems you use, Hernandez will help you design databases that are robust and trustworthy.

8. Data Structures and Algorithms in Java

Author: by Michael T. Goodrich
720 pages

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The design and analysis of efficient data structures has long been recognized as a key component of the Computer Science curriculum. Goodrich, Tomassia and Goldwasser’s approach to this classic topic is based on the object-oriented paradigm as the framework of choice for the design of data structures.

For each ADT presented in the text, the authors provide an associated Java interface. Concrete data structures realizing the ADTs are provided as Java classes implementing the interfaces. The Java code implementing fundamental data structures in this book is organized in a single Java package, net.Datastructures.

This package forms a coherent library of data structures and algorithms in Java specifically designed for educational purposes in a way that is complimentary with the Java Collections Framework.

9. Simulation Modeling and Analysis (McGraw-Hill Series in Industrial Engineering and Management)

Author: by Averill Law
McGraw-Hill Education
800 pages

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Simulation Modeling and Analysis provides a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self-study.

The book is widely regarded as the bible of simulation and now has more than 172,000 copies in print and has been cited more than 18,500 times. This textbook can serve as the primary text for a variety of courses. It is used in leading industrial and systems engineering departments at Georgia Tech, University of Michigan, University of California at Berkeley, Stanford University, Purdue University, Texas A&M University, Columbia University, University of Washington, and Naval Postgraduate School.

10. Simulation with Arena

Author: by W. David Kelton
McGraw-Hill Education
656 pages

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Simulation with Arena provides a comprehensive treatment of simulation using industry-standard Arena software. The textbook begins by having the reader develop simple high-level models, and then progresses to advanced modeling and analysis. Statistical design and analysis of simulation experiments is integrated with the modeling chapters, reflecting the importance of mathematical modeling of these activities.

An informal, tutorial writing style is used to aid the beginner in fully understanding the ideas and topics presented. The academic version of Arena and example files are also available through the book’s website. McGraw-Hill’s Connect, is also available as an optional, add on item.

Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, how they need it, so that class time is more effective. Connect allows the professor to assign homework, quizzes, and tests easily and automatically grades and records the scores of the student’s work.

11. Introduction to the Design and Analysis of Algorithms

Author: by Anany Levitin
600 pages

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Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms, 3e presents the subject in a truly innovative manner. KEY TOPICS: Written in a reader-friendly style, the book encourages broad problem-solving skills while thoroughly covering the material required for introductory algorithms.

The author emphasizes conceptual understanding before the introduction of the formal treatment of each technique. Popular puzzles are used to motivate readers’ interest and strengthen their skills in algorithmic problem solving. Other enhancement features include chapter summaries, hints to the exercises, and a solution manual.

MARKET: For those interested in learning more about algorithms.

12. Tuesdays with Morrie by Albom, Mitch. (Broadway Books,2002) [Paperback]

Author: by Aragonese Edition
Broadway Books

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Tuesdays with Morrie by Albom, Mitch..Broadway , 2002 .

13. Hands-On Genetic Algorithms with Python: Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems

Author: by Eyal Wirsansky
346 pages

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Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning models using Python libraries such as DEAP, scikit-learn, and NumPy Key Features Explore the ins and outs of genetic algorithms with this fast-paced guide Implement tasks such as feature selection, search optimization, and cluster analysis using Python Solve combinatorial problems, optimize functions, and enhance the performance of artificial intelligence applications Book Description Genetic algorithms are a family of search, optimization, and learning algorithms inspired by the principles of natural evolution.

By imitating the evolutionary process, genetic algorithms can overcome hurdles encountered in traditional search algorithms and provide high-quality solutions for a variety of problems. This book will help you get to grips with a powerful yet simple approach to applying genetic algorithms to a wide range of tasks using Python, covering the latest developments in artificial intelligence.

14. Adobe Captivate 2019: The Essentials (Third Edition)

Author: by Kevin Siegel
248 pages

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Adobe Captivate 2019: The Essentials (Third Edition)… A self-paced workbook that teaches the core Adobe Captivate skillsAdobe Captivate 2019: The Essentials (Third Edition) is a self-paced workbook that teaches the core Captivate 2019 (version 11.5. 5) skills needed to create eLearning courses. You will follow step-by-step instructions and learn how to create a soft-skills lesson from scratch.

Then you will learn to record and produce software demonstrations, interactive training simulations, and video demos. By the time you finish working through this fast-paced book, you will know how to add and modify text captions, images, characters, videos, assets, smart shapes, and more.

You will record, import, and edit voiceover audio. You will also further enhance the learner experience by adding interactivity via click boxes, buttons, text entry boxes, and quizzes. Have you already created content using Microsoft PowerPoint? Don’t throw that presentation away.

You will learn how to import existing PowerPoint content into Captivate. Last but not least, you will publish a Captivate project as HTML5 so your output can be opened with a web browser by learners on any device, including desktop computers, laptops, tablets, and smartphones.