Python machine learning

This book explores the domain of reliability engineering in the context of machine tools. Failures of machine tools not only jeopardize users’ ability to meet their due date commitments but also lead

Adam Christopher's The Machine Awakes is a far future space opera set in the universe ofBurning Dark. In the decades since the human race first made contact with the Spiders—a machine race capable of

For courses in Python Programming Introduces Python programming with an emphasis on problem-solvingNow in its Third Edition, Practice of Computing Using Pythoncontinues to effectively introduce

本書通過闡述Python語言的基礎知識，以及使用Python語言的實際開發應用實例，來介紹如何使用電腦進行問題求解。豐富的例子和習題展示了在真實世界中是如何使用電腦的。目前Python在軟體產業中已經成為最廣泛使用的程式設計語言之一，對於初學者，Python也是理解電腦程式開發的理想工具。

Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering. Students and researchers at all levels are increasingly turning to the powerful Python programming language as an alternative to commercial packages and this fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to quickly gain proficiency. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving onto the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualisation, this textbook also discusses the use of IPython notebooks to build rich-media, shareable documents for scientific analysis. Including a final chapter introducing challenging topics such as floating-point precision and algorithm stability, and with extensive online resources to support advanced study, this textbook represents a targe

Learn the fundamentals of Cython to extend the legacy of your applicationsAbout This BookLearn how to extend C applications with pure Python codeGet more from Python – you'll not only learn Cython, yo

This book addresses the fundamentals of machine ethics. It discusses abilities required for ethical machine reasoning and the programming features that enable them. It connects ethics, psychological e

Till Albert presents a machine learning based approach to harnessing information contained in big data from different media sources such as patents, scientific publications, or the internet. He shows

If you’re a data scientist ready to tackle statistical and machine learning techniques across large data sets, this practical guide provides a solid introduction to the world of clustered computing an

Usually we think of coding as something only trained experts and scientists can handle, but not any more thanks to programs like Python. First developed in 1991, Python uses lines of code, letters, an

In the last decade, there have been an increasing convergence of interest and methods between theoretical physics and fields as diverse as probability, machine learning, optimization and compressed se

For college-level Computer Science courses in Python Basic Programming and Problem Solving in Python As one of the most widely used programming languages in the software industry, Python is desirable

This fine book shows you how to build fun, cool arcade games using the Python programming language and the PyGame framework, a Python-based game application development engine. Use Python and Py

This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area.It demonstrates that Big Data Analysis opens up

This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically

The description for this book, LaMettrie's L'Homme Machine, will be forthcoming.

Gather, analyze, and decode data to reveal hidden facts using Python, the perfect tool for all aspiring secret agentsAbout This BookDiscover the essential features of Python programming: statements, v

Over 70 recipes to get you started with popular Python libraries based on the principal concepts of data visualizationAbout This BookLearn how to set up an optimal Python environment for data visualiz

本書首先從Python的安裝開始，隨後介紹了Python的基礎知識和基本概念，包括清單、元組、字串、字典以及各種語句。然後循序漸進地介紹了一些相對高級的主題，包括抽象、異常、魔法方法、屬性、反覆運算器。此後探討了如何將Python與資料庫、網路、C語言等工具結合使用，從而發揮出Python的強大功能，同時介紹了Python程式測試、打包、發佈等知識。最後，作者結合前面講述的內容，按照實際專案開發的

Learn to use powerful Python libraries for effective data processing and analysisAbout This BookLearn the basic processing steps in data analysis and how to use Python in this area through supported p

Get started with Python for data analysis and numerical computing in the Jupyter notebookAbout This BookLearn the basics of Python in the Jupyter NotebookAnalyze and visualize data with pandas, NumPy,

Python is a computer programming language that is rapidly gaining popularity throughout the sciences.A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself eno

Python is a computer programming language that is rapidly gaining popularity throughout the sciences.A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself eno

The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built

This successful textbook on predictive text mining offers a unified perspective on a rapidly evolving field, integrating topics spanning the varied disciplines of data science, machine learning, datab

Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation’s Giraph framework for graph processing. This is the same framewo

This book presents a variety of approaches and applications for using data mining and machine learning techniques in the context of event mining. It offers an introductory overview on recent developme

With this comprehensive guide you will learn how to apply Bayesian machine learning techniques systematically to solve various problems in speech and language processing. A range of statistical models is detailed, from hidden Markov models to Gaussian mixture models, n-gram models and latent topic models, along with applications including automatic speech recognition, speaker verification, and information retrieval. Approximate Bayesian inferences based on MAP, Evidence, Asymptotic, VB, and MCMC approximations are provided as well as full derivations of calculations, useful notations, formulas, and rules. The authors address the difficulties of straightforward applications and provide detailed examples and case studies to demonstrate how you can successfully use practical Bayesian inference methods to improve the performance of information systems. This is an invaluable resource for students, researchers, and industry practitioners working in machine learning, signal processing, and sp

Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming lan

《Python程序設計》共兩篇17章，介紹Python數據類型、控制結構、正則表達式、類與函數設計、文件操作、異常處理與程序調試等內容。第二篇通過大量案例介紹Python在GUI編程、圖形圖像編程、音樂編程與語音識別、科學計算可視化、網絡編程、逆向工程與軟件分析、大數據處理、Windows系統編程等方面的應用。 《Python程序設計》可以作為計算機科學與技術、數字媒體技術、軟件工程、網絡工程、信

A step-by-step beginner's guide for your sewing machineMy Sewing Machine Book is a clear, fun and fresh introduction to sewing on a machine for kids. Packed with easy sewing projects, templates and pa

Python 是一種物件導向的解釋型語言，物件導向是其非常重要的特性。本書通過Python 的資料結構、語法、設計模式，從簡單到複雜，從初級到高級，一步步通過例子來展示了Python 中物件導向的概念和原則。本書不是Python 的入門書籍，適合具有Python 基礎經驗的開發人員閱讀。如果你擁有其他物件導向語言的經驗，你會更容易理解本書的內容。

Learn how to machine quilt beautiful motifs and designs for finishing projects on your domestic sewing machineIf you’ve learned the basics of machine quilting and are ready to take your skills to the

Beginning Python Games Development, Second Edition teaches you how to create compelling games using Python and the PyGame games development library. It will teach you how to create visuals, do event h

This book provides a comprehensive survey in one place of recent results in these areas: Novel Bayesian Modeling; Spatio-temporal modeling; Data mining and machine learning; Bayesian non-parametric me

這不是一本常規意義上Python的入門書。這本書中沒有Python關鍵字和for迴圈的使用，也沒有細緻入微的標準庫介紹，而是完全從實戰的角度出發，對構建一個完整的Python應用所需掌握的知識進行了系統而完整的介紹。更為難得的是，本書的作者是開源專案OpenStack的PTL（項目技術負責人）之一，因此本書結合了Python在OpenStack中的應用進行講解，非常具有實戰指導意義。 本書從如何開

In Doing Math with Python you'll learn to how to use the Python programming language as a tool to delve into math concepts. Python is easy to learn, and it's perfect for exploring topics like statisti

EASY to LEARN and APPLY, THIS MACHINE EMBROIDERY CRASH COURSE BOOK (+ 20 Basic Stitches Explained in Detail) Will Save Your Time and Effort. Master MACHINE EMBROIDERY at HOME.Machine Embroidery Cr

Python是目前最流行的動態指令碼語言之一。本書由淺入深，全面、系統地介紹了使用Python進行開發的各種知識和技巧。本書內容包括Python環境的安裝和配置、Python的基本語法、模組和函數、內置資料結構、字串和檔的處理、規則運算式的使用、異常的捕獲和處理、物件導向的語言特性和設計、Python的資料庫程式設計、TkinterGUI庫的使用、HTML應用、XML應用、Django網頁開發框架

It's easy to start writing code with Python: that's why the language is so immensely popular. However, Python has unique strengths, charms, and expressivity that can be hard to grasp at first -- as we