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| Author | : Igor Ushakov |
| Publisher | : Lulu.com |
| Total Pages | : 115 |
| Release | : 2012-06-22 |
| Genre | : Education |
| ISBN | : 1105883256 |
It's a Random, Random, Random World presents entertaining stories about the development of probability and statistics theory.
| Author | : Jimmy Koene |
| Publisher | : Sams Publishing |
| Total Pages | : 433 |
| Release | : 2014-09-12 |
| Genre | : Computers |
| ISBN | : 0133900533 |
In Full Color! In just 24 sessions of one hour or less, Sams Teach Yourself Minecraft® Mod Development in 24 Hours will help you transform Minecraft® into anything you can imagine--and share your vision with millions of players worldwide! You’ll learn all the mod development skills you need as you walk through a complete step-by-step project, complete with a mob, new tools, new armor, food, ores, and much more. Every lesson builds on what you’ve already learned, giving you a rock-solid foundation for building any mod and creating any world! Step-by-step instructions carefully walk you through the most common Minecraft® mod development tasks. Quizzes and exercises at the end of each chapter help you test your knowledge. Notes present interesting information related to the discussion. Tips offer advice or show you easier ways to perform tasks. Cautions alert you to possible problems and give you advice on how to avoid them. Learn how to... Set up the environment where you’ll write your mod Create the basics for your mod with the Forge API Establish a framework that makes it easier to build complex mods Work with recipes and other small modifications Create multiple recipes, items, blocks, and entities at once Cook up food items that heal your players Make custom pickaxes, shovels, and completely original tools Use Tile Entities to create complex and unique mods Create interesting custom armor for players Generate entire worlds, including ores and plants Design and generate new structures with MCEdit Understand Entities and create Entity Models with Techne Code mobs with a custom Entity Model Manufacture Throwables Edit Minecraft® functionality without breaking other mods Structure, package, and release your mod Master Java programming techniques you can use far beyond Minecraft® This book was not created by and is not endorsed by Notch Development AB Corporation/Mojang Synergies AB Corporation.
| Author | : Jimmy Koene |
| Publisher | : Pearson Education |
| Total Pages | : 433 |
| Release | : 2014 |
| Genre | : Computers |
| ISBN | : 0672337193 |
You'll learn all the mod development skills you need as you walk through a complete step-by-step project, complete with a mob, new tools, new armor, food, ores, and much more. Every lesson builds on what you've already learned, giving you a rock-sold foundation for building any mod and creating any world! --
| Author | : David Taniar |
| Publisher | : Springer |
| Total Pages | : 558 |
| Release | : 2010-04-03 |
| Genre | : Computers |
| ISBN | : 3642121896 |
This four-volume set synthesizes the International Conference on Computational Science and Its Applications, ICCSA 2010. Topics include computational methods, algorithms and scientific application, high performance computing and networks, and more.
| Author | : Katie Cunningham |
| Publisher | : Sams Publishing |
| Total Pages | : 321 |
| Release | : 2013-09-10 |
| Genre | : Computers |
| ISBN | : 0133354466 |
In just 24 sessions of one hour or less, Sams Teach Yourself Python in 24 Hours will help you get started fast, master all the core concepts of programming, and build anything from websites to games. Using this book’s straightforward, step-by-step approach, you’ll move from the absolute basics through functions, objects, classes, modules, database integration, and more. Every lesson and case study application builds on what you’ve already learned, giving you a rock-solid foundation for real-world success! Step-by-step instructions carefully walk you through the most common Python development tasks. Quizzes and Exercises at the end of each chapter help you test your knowledge. Notes present interesting information related to the discussion. Tips offer advice or show you easier ways to perform tasks. Warnings alert you to possible problems and give you advice on how to avoid them. Learn how to... Install and run the right version of Python for your operating system Store, manipulate, reformat, combine, and organize information Create logic to control how programs run and what they do Interact with users or other programs, wherever they are Save time and improve reliability by creating reusable functions Master Python data types: numbers, text, lists, and dictionaries Write object-oriented programs that work better and are easier to improve Expand Python classes to make them even more powerful Use third-party modules to perform complex tasks without writing new code Split programs to make them more maintainable and reusable Clearly document your code so others can work with it Store data in SQLite databases, write queries, and share data via JSON Simplify Python web development with the Flask framework Quickly program Python games with PyGame Avoid, troubleshoot, and fix problems with your code
| Author | : Katie Cunningham |
| Publisher | : Pearson Education |
| Total Pages | : 321 |
| Release | : 2014 |
| Genre | : Computers |
| ISBN | : 0672336871 |
Provides lessons and case study applications that cover such topics as using loops, making objects, using modules, expanding classes, and fixing problem code.
| Author | : Vladimir Vovk |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 344 |
| Release | : 2005-03-22 |
| Genre | : Computers |
| ISBN | : 9780387001524 |
Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of randomness. Based on these approximations, a new set of machine learning algorithms have been developed that can be used to make predictions and to estimate their confidence and credibility in high-dimensional spaces under the usual assumption that the data are independent and identically distributed (assumption of randomness). Another aim of this unique monograph is to outline some limits of predictions: The approach based on algorithmic theory of randomness allows for the proof of impossibility of prediction in certain situations. The book describes how several important machine learning problems, such as density estimation in high-dimensional spaces, cannot be solved if the only assumption is randomness.
| Author | : Wei-Meng Lee |
| Publisher | : BPB Publications |
| Total Pages | : 494 |
| Release | : 2024-07-17 |
| Genre | : Computers |
| ISBN | : 9355517106 |
DESCRIPTION Statistics is an important skill set to have when working as a quality analyst, a mathematician, a data analyst, a software engineer, or any analytical job. This book, "Implementing Statistics with Python," will teach you the basics of statistics and how to use Python to analyze data. You will learn to find patterns, quantify uncertainty, and make data-driven predictions with confidence. You will start with basic statistics and then use Python libraries like NumPy and Pandas for data manipulation. You will also learn data visualization with Matplotlib and Seaborn to create informative charts. The book covers probability theory and statistical inference to help you make data-driven decisions. You will be exploring regression and time series analysis with ARIMA for forecasting. Finally, the book introduces ML algorithms, preparing you for real-world data science projects. The book focuses on applying statistics rather than theory, using popular libraries like NumPy, SciPy, Pandas, Matplotlib, and Scikit-Learn. Reading this book will give you a good foundation for working with ML, business analytics, and data-driven business challenges. KEY FEATURES ● Learn the various aspects of statistics and its applications in real-world scenarios. ● Learn about the various libraries in Python for working with data. ● Adopt the learn-by-doing approach to solve real-world statistics problems. ● Learn how statistics is applied to Machine Learning. WHAT YOU WILL LEARN ● Learn the fundamentals of Python and its libraries like Numpy, Pandas, Matplotlib and Seaborn. ● Grasp descriptive statistics and probability concepts. ● Perform statistical inference with Chi-square, ANOVA, and regression analysis. ● Skillfully navigate multivariate and time series analysis. ● Apply statistical techniques in practical ML. WHO THIS BOOK IS FOR This book is for readers with basic Python knowledge who want to apply statistics in real-life scenarios, and those pursuing careers in data analytics, data engineering, data science, ML, and AI. It is also ideal for students beginning a course in statistics. TABLE OF CONTENTS 1. Introduction to Statistics 2. Python Basics for Statistics 3. Introduction to NumPy and Pandas for Data Manipulation 4. Data Visualization with Matplotlib and Seaborn 5. Descriptive Statistics 6. Probability Theory 7. Statistical Inference 8. Regression Analysis 9. Multivariate Analysis 10. Time Series Analysis 11. Machine Learning for Statistics 12. Practical Statistical Analysis in Machine Learning
| Author | : Shane Asselstine |
| Publisher | : Pearson Education |
| Total Pages | : 289 |
| Release | : 2015 |
| Genre | : Computers |
| ISBN | : 0133858014 |
"You'll find essential advice and captivating projects for uing Minecraft to enhance students' learning experiencce from educators using MIne craft in the classroom." - cover.
| Author | : Colin Gallagher |
| Publisher | : Peachpit Press |
| Total Pages | : 289 |
| Release | : 2014-10-08 |
| Genre | : Games & Activities |
| ISBN | : 0133858022 |
Learn how educators are using Minecraft® as a powerful instructional tool to engage students and teach subjects as varied as math and humanities. This book offers ten classroom projects from teachers using Minecraft® to teach math, science, languages, and more. Each project includes learning objectives, project organization and tasks, and ideas for reflection and assessments. You’ll also find detailed instructions for setting up and running a Minecraft® server in the classroom, both the regular and the popular MinecraftEdu versions. In this book, you’ll discover What Minecraft® is and why it’s such an engaging tool for the classroom. How to set up and administer servers that students use for their projects. What MinecraftEdu is, how to set up and manage it, and how to use its teacher controls. Techniques for using the game in special-education settings. Step-by-step instructions for printing 3D models of your classroom projects. Ways to use the game in a variety of different subject areas. You’ll find essential advice and captivating projects for using Minecraft® to enhance students’ learning experience from educators using Minecraft® in the Classroom: Shane Asselstine, Dan Bloom, André Chercka, Adam Clarke, Stephen Elford, Colin Gallagher, David Lee, John Miller, Eric Walker, and James York. Minecraft® is a trademark of Mojang Synergies/Notch Development AB. This book is not affiliated with or sponsored by Mojang Synergies/Notch Development AB.
