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Results 3061-3070 of 3601 (Search time: 0.19 seconds).
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  • Sách/Book

  • Quantitative finance with Python : a practical guide to investment management, trading, and financial engineering

    • Authors: Kelliher, Chris (2022)

  • Quantitative Finance with Python: A Practical Guide to Investment Management, Trading and Financial Engineering bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management. The book provides students with a very hands-on, rigorous introduction to foundational topics in quant finance, such as options pricing, portfolio optimization and machine learning. Simultaneously, the reader benefits from a strong emphasis on the practical applications of these concepts for institutional investors.
  • Sách/Book

  • Financial Modeling in Excel For Dummies

    • Authors: Fairhurst, Danielle Stein (2022)

  • Master the tools and strategies that help you draw insights from numbers and data you've already got. Build a successful financial model from scratch, or work with and modify an existing one to your liking. Create new and unexpected business strategies with the ideas and conclusions you generate with scenario analysis.
  • Sách/Book

  • Giáo trình Kinh tế phát triển

    • Authors: Lương Thu Thuỷ; Đinh Văn Hải (2014)

  • Tổng quan về tăng trường và phát triển kinh tế. Các mô hình tăng trưởng kinh tế và chuyển dịch cơ cấu ngành kinh tế. Các nguồn lực với phát triển kinh tế, công bằng xã hội trong quá trình phát triẻn kinh tế. Ngoại thương với phát triển kinh tế và những dự báo phát triển kinh tế - xã hội...
  • Sách/Book

  • Fundamentals of financial management

    • Authors: Brigham, Eugene F (2020)

  • Gain a solid understanding of today's corporate finance and financial management with Brigham/Houston's market-leading FUNDAMENTALS OF FINANCIAL MANAGEMENT, CONCISE EDITION, 10E. A unique balance of the latest theory and hands-on applications introduces corporate finance with an emphasis on the concept of valuation throughout and Time Value of Money (TVM) early in the book - giving you ample time to absorb the concepts fully
  • Sách/Book

  • Applied linear statistical models.

    • Authors: Michael H. Kutner (2005)

  • A text and reference on statistical modeling, this work includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. It provides a use of computing and graphical analysis.
  • Sách/Book

  • C++ how to program

    • Authors: Paul Deitel; Harvey Deitel (2017)

  • Interesting, entertaining, and challenging exercises encourage students to make a difference and use computers and the Internet to work on problems. To keep readers up-to-date with leading-edge computing technologies, the Tenth Edition conforms to the C++11 standard and the new C++14 standard.
  • Sách/Book

  • Applied multivariate statistical analysis

    • Authors: Richard A. Johnson (2014)

  • This market leader offers a readable introduction to the statistical analysis of multivariate observations. Gives readers the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Starts with a formulation of the population models, delineates the corresponding sample results, and liberally illustrates everything with examples.
  • Sách/Book

  • Programming PyTorch for Deep Learning Creating and Deploying Deep Learning Applications

    • Authors: Ian Pointer (2019)

  • This book is here to help you get your job done. In general, if example code is offered with this book, you may use it in your programs and documentation. You do not need to contact us for permission unless you’re reproducing a significant portion of the code. For example, writing a program that uses several chunks of code from this book does not require permission.