Information Technology

URI vĩnh viễn cho bộ sưu tập này

https://oerrepository.ntt.edu.vn/handle/298300331/491

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Đang duyệt Information Technology theo Chủ đề

Đang hiển thị 1 - 4 trong tổng số 4
  • Hình ảnh thu nhỏ
    Tài liệu
    Introduction to Data Science Using Python
    (West Chester University, 2024) Agah, Afrand
    This book contains two parts, the first is designed to be used in an introductory programming course for students looking to learn Python, without having any prior experience with programming. Basic programming concepts are discussed, explained, and illustrated with a Python program. Ample programming questions are provided for practice. The second part of the book utilizes machine-learning concepts and statistics to accomplish data-driven resolutions. Python programs are provided to apply scientific computing to conclude statistically driven results.
  • Hình ảnh thu nhỏ
    Tài liệu
    Operating Systems and Infrastructure in Data Science
    (vdf Hochschulverlag, 2023) Spillner, Josef
    Modern data scientists work with a number of tools and operating system facilities in addition to online platforms. Mastering these in combination to manage their data and to deploy software, models and data as ready-to-use online services as well as to perform data science and analysis tasks is in the focus of Operating Systems and Infrastructure in Data Science. Readers will come to understand the fundamental concepts of operating systems and to explore plenty of tools in hands-on tasks and thus gradually develop the skills necessary to compose them for programming in the large, an essential capability in their later career. The book guides students through semester studies, acts as reference knowledge base and aids in acquiring the necessary knowledge, skills and competences especially in self-study settings. A unique feature of the book is the associated access to Edushell, a live environment to practice operating systems and infrastructure tasks.
  • Hình ảnh thu nhỏ
    Tài liệu
    Operating Systems and Infrastructure in Data Science
    (Hochschulverlag, 2023) Spillner, Josef
    Modern data scientists work with a number of tools and operating system facilities in addition to online platforms. Mastering these in combination to manage their data and to deploy software, models and data as ready-to-use online services as well as to perform data science and analysis tasks is in the focus of Operating Systems and Infrastructure in Data Science. Readers will come to understand the fundamental concepts of operating systems and to explore plenty of tools in hands-on tasks and thus gradually develop the skills necessary to compose them for programming in the large, an essential capability in their later career. The book guides students through semester studies, acts as reference knowledge base and aids in acquiring the necessary knowledge, skills and competences especially in self-study settings. A unique feature of the book is the associated access to Edushell, a live environment to practice operating systems and infrastructure tasks.
  • Hình ảnh thu nhỏ
    Tài liệu
    The Crystal Ball Instruction Manual - version 1.1 Volume One: Introduction to Data Science
    (University of Mary Washington, 2020) Davies, Stephen
    A perfect introduction to the exploding field of Data Science for the curious, first-time student. The author brings his trademark conversational tone to the important pillars of the discipline: exploratory data analysis, choices for structuring data, causality, machine learning principles, and introductory Python programming using open-source Jupyter Notebooks. This engaging read will allow any dedicated learner to build the skills necessary to contribute to the Data Science revolution, regardless of background.