This text provides a simple and straightforward introduction to econometrics for the beginner. The author's intent is to provide the student with a "user friendly," non-intimidating introduction to econometric theory and techniques. The book motivates students to understand econometric techniques through extensive examples, careful explanations, and a wide variety of problem ...(展开全部)

The primary objective of the fourth edition of "Essentials of Econometrics" is to provide a user-friendly introduction to econometric theory and techniques. This text provides a simple and straightforward introduction to econometrics for the beginner. The book is designed to help students understand econometric techniques through extensive examples, careful explanations, and a ...(展开全部)

The primary objective of the fourth edition of "Essentials of Econometrics" is to provide a user-friendly introduction to econometric theory and techniques. This text provides a simple and straightforward introduction to econometrics for the beginner. The book is designed to help students understand econometric techniques through extensive examples, careful explanations, and a ...(展开全部)

The primary objective of the fourth edition of Essentials of Econometrics is to provide a user-friendly introduction to econometric theory and techniques. This text provides a simple and straightforward introduction to econometrics for the beginner. The book is designed to help students understand econometric techniques through extensive examples, careful explanations, and a ...(展开全部)

达莫达尔 N.古扎拉蒂（Damodar N.Gujarati），达莫达尔N.古扎拉蒂曾执教于纽约城市大学（25年多）和西点军事学院社会科学系（17年）。古扎拉蒂博士于1960年获孟买大学商学硕士学位，1963年获芝加哥大学MBA硕士学位，1965年获芝加哥大学博士学位。古扎拉蒂曾在Review of Economics and Statistics.Economic Journal，Journal of Financial and Quantitative Analysis，Journal of Business等国际著名杂志上发表多篇论文。古扎拉蒂博士曾任Journal of Quantitative Economics和官方刊物Indian Econometric Society的编委会成员。古扎拉蒂博士代表著作有《退休金与纽约市的财政危机》（P...(展开全部)

Fully expanded and upgraded, the latest edition of Python Data Science Essentials will help you succeed in data science operations using the most common Python libraries. This book offers up-to-date insight into the core of Python, including the latest versions of the Jupyter Notebook, NumPy, pandas, and scikit-learn.The book covers detailed examples and large hybrid datasets to help you grasp essential statistical techniques for data collection, data munging and analysis, visualization, and reporting activities. You will also gain an understanding of advanced data science topics such as machine learning algorithms, distributed computing, tuning predictive models, and natural language processing. Furthermore, You’ll also be introduced to deep learning and gradient boosting solutions such as XGBoost, LightGBM, and CatBoost.By the end of the book, you will have gained a complete overview of the principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users.

If you are an aspiring data scientist or analyst who has a basic understanding of data science and has basic hands-on experience in R or any other analytics tool, then R Data Science Essentials is the book for you.

John A. Rice 在加州大学伯克利分校获得博士学位，并一直任教于该校统计系，现为该校统计学名誉教授。他是美国数理统计学会成员，发表过多篇理论和应用统计学论文，其研究兴趣集中于海量和需要高强度计算的随机数据的分析方法。

John A. Rice 在加州大学伯克利分校获得博士学位，并一直任教于该校统计系，现为该校统计学名誉教授。他是美国数理统计学会成员，发表过多篇理论和应用统计学论文，其研究兴趣集中于海量和需要高强度计算的随机数据的分析方法。

欧文·M·柯匹（Irving M. Copi，1917—2002）， 美国著名逻辑教育家，曾先后执教于美国伊利诺伊大学、密歇根大学、普林斯顿大学和夏威夷大学。主要著作有：《符号逻辑》（Symbolic Logic，1954） 《逻辑类型论》（The Theory of Logical Types，1971) 《当代哲学逻辑》（Contemporary Philosophical Logic， 1978）《非形式逻辑》（Informal Logic，1992）等。 卡尔·科恩（Carl Cohen，1931— ），美国密歇根大学逻辑与哲学教授。科恩教授的著作被翻译成多种语言，其中，政治哲学著作《论民主》中译本于1988 年出版。 丹尼尔·E·弗莱格（Daniel E. Flage），詹姆斯·麦迪逊大学哲学教授，主攻现代哲学史、逻辑和批判性思维。 译者胡...(展开全部)