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  • Sách/Book

  • Interpretable machine learning : a guide for making black box models explainable

    • Authors: Christoph Molnar (2022)

  • This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. The focus of the book is on model-agnostic methods for interpreting black box models such as feature importance and accumulated local effects, and explaining individual predictions with Shapley values and LIME.
  • Sách/Book

  • How Linux works : what every superuser should know

    • Authors: Brian Ward (2020)

  • In this third edition of the bestselling How Linux Works, author Brian Ward peels back the layers of this well-loved operating system to make Linux internals accessible. This edition has been thoroughly updated and expanded with added coverage of Logical Volume Manager (LVM), virtualization, and containers. You’ll also explore the kernel and examine key system tasks inside user-space processes, including system calls, input and output, and filesystem maintenance. With its combination of background, theory, real-world examples, and thorough explanations, How Linux Works, 3rd Edition will teach you what you need to know to take control of your operating system.
  • Sách/Book

  • Cơ sở lý thuyết truyền tin T1

    • Authors: Đặng Văn Chuyết (2003)

  • Khái niệm chung về lý thuyết truyền tin. Xác suất và quá trình ngẫu nhiên, thông tin và lượng tin, mã hiệu, mã hoá nguồn, tín hiệu và hệ thống truyền tin, cấu trúc tối ưu cho kênh có nhiễu cộng Gaussian, phương pháp đồng bộ vật mang và kí hiệu ở đầu thu
  • Sách/Book

  • Linux Bible

    • Authors: Christopher Negus (2020)

  • Linux Bible, 10th Edition is the ultimate hands-on Linux user guide, whether you're a true beginner or a more advanced user navigating recent changes. this updated tenth edition covers the latest versions of Red Hat Enterprise Linux (RHEL 8), Fedora 30, and Ubuntu 18.04 LTS. It includes information on cloud computing, with new guidance on containerization, Ansible automation, and Kubernetes and OpenShift. With a focus on RHEL 8, this new edition teaches techniques for managing storage, users, and security, while emphasizing simplified administrative techniques with Cockpit. Written by a Red Hat expert, this book provides the clear explanations and step-by-step instructions that demystify Linux and bring the new features seamlessly into your workflow.
  • Sách/Book

  • Machine learning for finance : the practical guide to using data-driven algorithms in banking, insurance, and investments

    • Authors: Jannes Klaas (2019)

  • The book is based on Jannes Klaas' experience of running machine learning training courses for financial professionals. Rather than providing ready-made financial algorithms, the book focuses on the advanced ML concepts and ideas that can be applied in a wide variety of ways.The book shows how machine learning works on structured data, text, images, and time series. It includes coverage of generative adversarial learning, reinforcement learning, debugging, and launching machine learning products. It discusses how to fight bias in machine learning and ends with an exploration of Bayesian inference and probabilistic programming.
  • Sách/Book

  • できるExcel関数

    • Authors: 尾崎 裕子 (2013)

  • 基本から活用までマスターできるエクセル関数入門書の決定版！
  • Sách/Book

  • Embracing modern C++ safely

    • Authors: John Lakos (2022)

  • Maximize Reward and Minimize Risk with Modern C++ Embracing Modern C++ Safely shows you how to make effective use of the new and enhanced language features of modern C++ without falling victim to their potential pitfalls. Based on their years of experience with large, mission-critical projects, four leading C++ authorities divide C++11/14 language features into three categories: Safe, Conditionally Safe, and Unsafe. Safe features offer compelling value, are easy to use productively, and are relatively difficult to misuse. Conditionally Safe features offer significant value but come with risks that require significant expertise and familiarity before use. Unsafe features have an especially poor risk/reward ratio, are easy to misuse, and are beneficial in only the most specialized cir...
  • Sách/Book

  • Microsoft excel 2019 data analysis and business modeling

    • Authors: Wayne Winston (2019)

  • Master business modeling and analysis techniques with Microsoft Excel 2019, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide shows you how to use the latest Excel tools to integrate data from multiple tables–and how to effectively build a relational data source inside an Excel workbook.