THERMAL PHYSICS(台灣版) (2版)

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【原文書】 書名：Thermal Physics 2/E 作者：Charles Kittel ISBN：0716710889 Synopsis CONGRATULATIONS TO HERBERT KROEMER, 2000 NOBEL LAUREATE FOR PHYSICS For upper-division courses in thermodynamics or statistical mechanics, Kittel and Kroemer offers a modern approach to thermal physics that is based on the idea that all physical systems can be described in terms of their discrete quantum states, rather than drawing on 19th-century classical mechanics concepts. "synopsis" may belong to another edition of this title.

PRINCIPLES OF QUANTUM MECHANICS (2版)

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【原文書】 書名：Principles of Quantum Mechanics 2/e 作者:R. Shankar 出版社：Kluwer Academic Plenum Publishers ISBN：9780306447907 About this Textbook Reviews from the First Edition: "An excellent text … The postulates of quantum mechanics and the mathematical underpinnings are discussed in a clear, succinct manner." (American Scientist) "No matter how gently one introduces students to the concept of Dirac’s bras and kets, many are turned off. Shankar attacks the problem head-on in the first chapter, and in a very informal style suggests that there is nothing to be frightened of." (Physics Bulletin) Reviews of the Second Edition: "This massive text of 700 and odd pages has indeed an excellent get-up, is very verbal and expressive, and has extensively worked out calculational details---all just right for a first course. The style is conversational, more like a corridor talk or lecture notes, though arranged as a text. … It would be particularly useful to beginning students and those in allied areas like quantum chemistry." (Mathematical Reviews) R. Shankar has introduced major additions and updated key presentations in this second edition of Principles of Quantum Mechanics. New features of this innovative text include an entirely rewritten mathematical introduction, a discussion of Time-reversal invariance, and extensive coverage of a variety of path integrals and their applications. Additional highlights include: - Clear, accessible treatment of underlying mathematics - A review of Newtonian, Lagrangian, and Hamiltonian mechanics - Student understanding of quantum theory is enhanced by separate treatment of mathematical theorems and physical postulates - Unsurpassed coverage of path integrals and their relevance in contemporary physics The requisite text for advanced undergraduate- and graduate-level students, Principles of Quantum Mechanics, Second Edition is fully referenced and is supported by many exercises and solutions. The book’s self-contained chapters also make it suitable for independent study as well as for courses in applied disciplines.

LECTURES IN PARTICLE PHYSICS

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The aim of this book on particle physics is to present the theory in a simple way. The style and organization of the material is unique in that intuition is employed, not formal theory or the Monte Carlo method. This volume attempts to be more physical and less abstract than other texts without degenerating into a presentation of data without interpretation.This book is based on four courses of lectures conducted at Fermilab. It should prove very useful to advanced undergraduates and graduate students.

THERMODYNAMICS & AN INTRODUCTION TO THERMOSTATISTICS (2版)

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The only text to cover both thermodynamic and statistical mechanics--allowing students to fully master thermodynamics at the macroscopic level. Presents essential ideas on critical phenomena developed over the last decade in simple, qualitative terms. This new edition maintains the simple structure of the first and puts new emphasis on pedagogical considerations. Thermostatistics is incorporated into the text without eclipsing macroscopic thermodynamics, and is integrated into the conceptual framework of physical theory.

Kaggle大師教您用Python玩資料科學，比賽拿獎金

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內容簡介 　　本書是利用Python參加機器學習競賽「kaggle」的入門書。一開始先以適合初學者學習的「Titanic：Machine Learning from Disater」競賽學習Kaggle的基礎。從中除了可學習實踐Titanic的方法，還能掌握自行參加競賽所需的知識。 本書特色 　　．為了kaggle撰寫的習作教學書籍 　　．每一章或每一節都有具體的主題，可讓讀者按部就班地掌握需要的知識 　　．解說各種表單、圖片檔、文字檔的操作方法，作為進入下一個競賽的路標。 　　．兩位執筆者都擁有「Kaggle Master」的稱號，也有賺到獎金的經驗 　　．除了說明之外，還有兩位筆者的對談，從不同的角度介紹Kaggle的魅力 　　．會為程式設計與Python的初學者詳細講解範例程式 目錄 第1章｜了解Kaggle 1.1 何謂Kaggle 1.2 於Kaggle使用的機器學習 1.3 建立Kaggle的帳號 1.4 Competitions 頁面的概要 1.5 不需另行建置環境的「Notebooks」的使用方法 第2章｜著手進行Titanic 2.1 先submit ！試著寫進順位表 2.2 掌握全貌！了解submit之前的處理流程 2.3 找出下一步！試著進行探索式資料分析 2.4 在此拉開差距！基於假設建立新的特徵值 2.5 決策樹是最強的演算法？試著使用各種機器學習演算法 2.6 機器學習演算法的心情？試著調整超參數 2.7 在submit 之前！了解「Cross Validation」的重要性 2.8 「三個臭皮匠，勝過一個諸葛亮！」體驗集成學習 第3章｜往Titanic的下個階段前進 3.1 操作多個表格 3.2 操作影像資料 3.3 操作文字資料 第4章｜為了進一步學習 4.1 挑選競賽的方法 4.2 初學者適用的參賽方式 4.3 可選擇的分析環境 4.4 值得參考的資料、文獻、連結 4.5 第4 章總結 附錄A｜範例程式碼詳細解說