Python machine learning

本書是一本全面介紹有關Python語言和Python程序開發專業知識的參考手冊。書中詳細介紹了Python開發工具的安裝和使用、Python語言的語法結構、Python內置對象、庫和模塊以及Python與其他語言的擴展和嵌入，并專門介紹了有關Python網絡和Web編程的內容和實例。本書列舉了Python對象和模塊中提供的所有類型、方法和函數，并輔以適當的示例，系統地展示了Python包含的功能及

The ultimate bread machine recipes. Because bread machines are more popular than ever, we have revised our best-selling bread machine book with 50 new recipes. From traditional favorites to innovativ

Numerical Methods in Engineering with Python, 2nd Edition is intended for engineering students and as a reference for practicing engineers interested in exploring Python. This new edition features 18

The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation.

Intended to bridge the gap between the database and machine learning communities, this guide gathers theoretical and experimental contributions on fuzziness, scalability, and the use of fuzzy methods

Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard approach to many remote sensing applica

Reactive Search integrates sub-symbolic machine learning techniques into search heuristics for solving complex optimization problems. By automatically adjusting the working parameters, a reactive sea

Machine Translation is the author's comprehensive view of machine translation (MT) from the perspective of a participant in its history and development. The text considers MT as a fundamental part of

This book brings together aspects of statistics and machine learning to provide a comprehensive guide to evaluating, interpreting and understanding biometric data. This professional book naturally le

Gain a fundamental understanding of Python's syntax and features with the second edition ofBeginning Python, an up–to–date introduction and practical reference. Covering a wide array of Python–related

Assembled in this volume is a collection of some of the state-of-the-art methods that are using computer vision and machine learning techniques as applied in robotic applications. Currently there is a

Overa period spanning morethana decade,supportvector machines (SVMs) have evolved into a leading machine learning technique. SVMs are being applied to a wide range of problems, including bioinformatic

When it comes to robotics and bioinformatics, the Holy Grail everyone is seeking is how to dovetail logic-based inference and statistical machine learning. This volume offers some possible solutions t

Machine Vision Algorithms and Applications is the first up-to-date textbook for machine vision software provides all the details on the theory and practical use of the relevant algorithms. The first

Focusing on how a machine "feels" and behaves while operating, Machine Elements: Life and Design seeks to impart both intellectual and emotional comprehension regarding the "life" of a machine. It pre

This book introduces Web developers to the advanced topic of machine learning and statistics in a clear and concise way, with easy-to-follow examples and code that can be used in their own application

The minimum description length (MDL) principle is a powerful method of inductive inference, the basis of statistical modeling, pattern recognition, and machine learning. It holds that the best explan

A thermometer, a water-cycle model, a wave machine, a greenhouse—these are just a few things students can make out of a simple soda bottle. This book features learning-rich, hands-on activities

Suitable for babies and toddlers. Over 100 first machine words to learn. Fantastic photographs of all sorts of machines. Sturdy, large-format board book to withstand repeated learning f

With the demands of quality management and process control in an industrial environment machine vision is becoming an important issue. This handbook of machine vision is written by experts from leadin

The principal method of learning either design skills or machine operator skills of roll form tooling and its design has been on-the-job training. As the only book of its kind available on the subject

Kinematic Chains and Machine Components Design covers a broad spectrum of critical machine design topics and helps the reader understand the fundamentals and apply the technologies necessary for succe

The process of inductive inference -- to infer general laws and principles from particular instances -- is the basis of statistical modeling, pattern recognition, and machine learning. The Minimum Des

Covering the evolution of machine guns from the mid-19th century to the present, Machine Guns follows both the development of small arms technology and the impact of machine guns on ground combat, mil

Data mining, or knowledge discovery, has become an indispensable technology for businesses and researchers in many fields. Drawing on work in such areas as statistics, machine learning, pattern recog

A brand-new edition of the machine quilting classic! Includes everything you need to know about machine quilting.

The definitive machine design handbook for mechanical engineers, product designers, project engineers, design engineers, and manufacturing engineers covers every aspect of machine construction and ope

Fifty papers from the 2003 conference report on cutting-edge technology and techniques for assessing the performance of machine tools and measuring machines. Work on the enhancement of machine perform

Written by three experienced educators and practitioners, Machine Tool Technology Basics is sure to be a useful tool for anyone needing to learn about today's machine tool trade. Logically organized i

Named after the Monty Python comedy troupe, Python is an interpreted, open-source, object-oriented programming language. It's also free and runs portably on Windows, Mac OS, Unix, and other operating

This book covers the techniques of data mining, knowledge discovery, genetic algorithms, neural networks, bootstrapping, machine learning, and Monte Carlo simulation. Computational finance, an excit

The book is designed to interest students in manufacturing in a logical manner. .*The basic machine tool operations are covered (same as the machine tool courses presently taught in schools)..*A comp

The book is designed to interest students in manufacturing in a logical manner. *The basic machine tool operations are covered (same as the machine tool courses presently taught in schools). *A compl

Although Inductive Logic Programming (ILP) is generally thought of as a research area at the intersection of machine learning and computational logic, Bergadano and Gunetti propose that most of the re

Classifier systems play a major role in machine learning and knowledge-based systems, and Ross Quinlan's work on ID3 and C4.5 is widely acknowledged to have made some of the most significant contribut

“Machine Tool Practices, 9e, effectively provides a concise overview of machine tools and related methods and practices that are found in a number of different industry types that utilize various mach

1.Covers not only AI theory, but modern applications e.g., game programming, machine learning, swarming, artificial immune systems, genetic algorithms, pattern recognition, numerical optimization, dat

本活頁式教材(以下稱為本教材或《Python程序設計(微課版)》)依託國家級職業教育現場工程師專項培養計劃項目，充分吸收湖北省教育科學“十三五”規劃課題——“面向高職院校 O2O 混合式教學模式的研究(編號：2019GB150)”成果，聯合中國電子系統技術有限公司、湖北職業技術學院、武漢城市職業學院，組建校企合編教材開發團隊，採用“思政引領，崗課賽證融通”五位一體的育人理念，以任務為驅動，按照任務劃分組織學習內容，由淺入深地講解 Python 的相關知識點和技能點。《Python程序設計(微課版)》內容分為基礎篇、高級篇和拓展篇。基礎篇包括學習任務 1 至學習任務 5，介紹 Python 基礎語法；高級篇包括學習任務 6 至學習任務 10，介紹 Python 高級語法及操作；拓展篇包括學習任務 11 和學習任務12，介紹 Python 的實際應用。《Python程序設計(微課版)》結構清晰、內容翔實、案例貼切，實踐性強、圖文並茂，集知識性與實踐性於一體，強化知識和技能，符合高等職業教育對技能型人才的培養要求。為方便教學，《Python程序設計(微課版)》配有微課視頻、源代碼、素材、題庫、習題答案等學習資源，讀者可掃描書中或前言末尾左側二維碼觀看或下載；針對教師，《Python程序設計(微課版)》另贈教學 PPT、教學大綱等資源，教師可掃描前言末尾右側二維碼獲取。《Python程序設計(微課版)》可作為高職高專院校、職業本科院校計算機類相關專業教材，也可作為職業技能等級培訓的培訓教材，還可作為 Python 愛好者的自學用書。

本書分為三部分：數據可視化基礎知識部分包括前 3 章，主要介紹數據可視化的基礎理論，包括概念、發展歷史、流程、設計工具和原則，隨後深入探討了各種Python數據可視化庫(如Matplotlib、Seaborn和Plotly等)在創建數據視圖表示中的應用，以及Python中讀取、清洗和處理數據的方法。Python數據可視化技術部分包括第4～8章，主要介紹了不同類型數據的可視化方法，包括時間數據、關係數據、比例數據、文本數據和複雜數據的可視化。Python數據可視化應用案例部分包括第9～12章，通過具體案例展示數據可視化的綜合應用，包括用戶消費行為可視化分析、世界盃數據可視化分析、手機購物評論可視化分析等。本書既可以作為高等院校大數據、計算機、軟件及相關專業的教材，也可以作為軟件從業人員、計算機愛好者的參考用書。

本書秉承新工科教學理念，圍繞Python語言、程序設計和編程工具使用等方面，全面介紹Python編程的方法與應用。本書共13章，包括Python開發基礎、Python語言基本要素、簡單數據類型、程序控制語句、組合數據類型、函數與模塊、類與對象、文件處理、常見模塊的使用、NumPy數據處理、Pandas數據查詢、數據可視化、機器學習等內容。本書注重理論與實踐結合，注重對編程方法和思路的說明，並適當引入以數據分析和機器學習為背景的編程問題。本書同時將AI輔助編程的思想和方法融入其中，由淺入深地講解了Python語言開發的各類知識。本書可作為高等學校計算機相關專業“Python程序設計”相關課程的教材，也可作為Python愛好者及Python程序開發人員的參考書。