教材
经济学原理 豆瓣
作者: 张维迎 西北大学出版社 2015 - 9
《经济学原理》是北京大学通识教育核心课程“经济学原理”的配套教材。作者将经济学定义为研究人类如何通过合作而发展的科学,将市场看作动态的、演化的、带有不确定性的世界,尤其强调了企业和企业家的价值,并系统介绍了奥地利学派理论,改变了传统经济学教材的静态均衡、完全理性的市场观念和缺少人文精神纯事计算等缺陷。本书全面介绍经济学的基本概念和理论,又不失独到的见解和鲜活而贴近中国读者的案例,使读者一览经济学全貌之余,获得全新的启发。为方便课堂教学及学生自学,本书设有“课堂讨论”“延伸阅读”“思考与练习”等内容。
The Elements of Statistical Learning 豆瓣 Goodreads
9.8 (9 个评分) 作者: Trevor Hastie / Robert Tibshirani Springer 2009 - 10
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for "wide" data (p bigger than n), including multiple testing and false discovery rates.
A Byte of Python 豆瓣
8.8 (19 个评分) 作者: Swaroop C H Lulu Marketplace 2008 - 10
'A Byte of Python' is a book on programming using the Python language. It serves as a tutorial or guide to the Python language for a beginner audience. If all you know about computers is how to save text files, then this is the book for you.
2019年8月29日 已读
慢慢发现适合自己的学习路线是由宽入窄再总合,也算是求学十来年的一点心得。不过写代码这事说到底还是得上手,我这才是万里长征第一步。
2008 原版 学术 教材 编程
井山裕太的围棋教室 豆瓣
井山裕太の実戦囲碁力養成講座
作者: [日] 井山裕太 译者: 官岚行 后浪 | 四川文艺出版社 2018
日本围棋史上绝无仅有的七冠王者
井山裕太教你下围棋!
◎ 编辑推荐
☆ 本书作者井山裕太以不满三十岁的年纪,击败所有日本围棋强手,同时保有七大头衔,达成了围棋史上仅此一人的七冠壮举,是当今日本围棋界的绝对王者。
☆ 身为顶级棋手,井山裕太在棋盘上争霸之余,也出了不少围棋推广、围棋教学的书籍。这本《井山裕太的围棋教室》,正是井山裕太为广大围棋学习者写就,内容扎实、具有代表性的围棋入门教材。
☆ 《井山裕太的围棋教室》改写自NHK围棋讲座,面向初学围棋者到业余初段的读者。内容以入门围棋术语为核心,配合大量问题、讲解,帮助读者打好围棋实力基础。
◎ 内容简介
本书以浅显易懂的方式说明围棋基本术语,并以题目来加深读者对术语知识的印象,迅速运用到实战之中。内容包括“布局的基础”“攻守”“棋子的调动”“死活的基础”“手筋、对杀”五个视点,分别对围棋的基础常识进行了简明扼要的归纳。
Data Structures and Algorithms in Python 豆瓣 Goodreads
作者: Michael T. Goodrich / Roberto Tamassia John Wiley & Sons 2013 - 7
Based on the authors' market leading data structures books in Java and C++, this book offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Structures and Algorithms in Python is the first authoritative object-oriented book available for Python data structures. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++. Begins by discussing Python's conceptually simple syntax, which allows for a greater focus on concepts. Employs a consistent object-oriented viewpoint throughout the text. Presents each data structure using ADTs and their respective implementations and introduces important design patterns as a means to organize those implementations into classes, methods, and objects. Provides a thorough discussion on the analysis and design of fundamental data structures. Includes many helpful Python code examples, with source code provided on the website. Uses illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner. Provides hundreds of exercises that promote creativity, help readers learn how to think like programmers, and reinforce important concepts. Contains many Python-code and pseudo-code fragments, and hundreds of exercises, which are divided into roughly 40% reinforcement exercises, 40% creativity exercises, and 20% programming projects.
概率论与数理统计 豆瓣
作者: 陈希孺 机械工业出版社 2000 - 1
《概率论与数理统计》内容包括概率论的基本概念、随机变量与概率分布、随机变量的数字特征、参数估计和假设检验、回归分析、相关分析与方差分析等。
The Biology of Cancer 豆瓣
作者: Robert A. Weinberg Garland Science 2006 - 7
The Biology of Cancer is a textbook for undergraduate and graduate biology students as well as medical students studying the molecular and cellular bases of cancer. The book presents the principles of cancer biology in an organized, cogent, and in-depth manner. The clarity of writing and the lucid full-color art program make the book accessible and engaging. The information unfolds through the presentation of key experiments which give readers a sense of discovery and provides insights into the conceptual foundation underlying modern cancer biology. The Biology of Cancer synthesizes the findings of three decades of recent cancer research and proposes a conceptual framework from which to teach about these discoveries. It provides the necessary structure, organization, and content for a course on cancer biology for advanced undergraduates and beginning doctoral students. The book is comprehensive and offers many pedagogical features to assist teaching and learning. The book includes many recent and topical references, and is intended to empower the student to move directly into the primary research literature. The text is up-to-date and provides current information on topics such as tumor stem cells and recently introduced chemotherapeutics. State-of-the-art techniques are discussed throughout. Modern biomedical research is explored, helping readers to hone their analytical abilities and to assimilate and think clearly about complex biological processes. The Biology of Cancer provides insights into many aspects of immunology, developmental biology, and neurobiology. The exceptional full-color art program contains many images published for the first time. The book is extensively illustrated with schematic drawings, micrographs, computer-generated models and graphs. The pieces were chosen to support and clarify the concepts, as well as to supply additional interest. Besides its value as a textbook, The Biology of Cancer will be a useful reference for individuals working in biomedical laboratories, and for clinical professionals.