rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Data science and machine learning
    sub title: (theory and projects) A to Z
  name:
    name part: Murtaza, Kashif
    role:
      role term: presenter.
  name:
    name part: Packt Publishing
    role:
      role term: publisher.
  type of resource: moving image
  genre: videorecording
  genre: Webcast
  genre: Instructional films.
  genre: Internet videos.
  genre: Nonfiction films.
  genre: Films de formation.
  genre: Films autres que de fiction.
  genre: Vidéos sur Internet.
  origin info:
    place:
      place term: xx
    date issued: 2021
    edition: [First edition].
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file (93 hr., 31 min.)) : sound, color.
  abstract: The complete roadmap for beginners to data science and machine learning. About This Video Advanced and recently discovered models and breakthroughs by the champions in the AI field Key data science and machine learning concepts with examples in Python Detailed explanation and live coding with Python In Detail This course is crafted to teach you the most in-demand skills in the real world. This course aims to help you understand all the data science and machine learning concepts and methodologies with regard to Python. When you take a quick look at the different sections of this course, you may think of these sections as being independent. However, these sections are interlinked and almost sequential. Each section is an independent concept and is like a course on its own. We have deliberately arranged these sections in a sequence as each subsequent section builds upon the sections you have completed. This framework enables you to explore more independent concepts easily. At the end of every subsection, you are assigned homework to further strengthen your learning. All these assessments are based on the previous concepts and methods you have learned. Several of these assessment tasks will be coding-based, as the main aim is to get you up and proceeding to implementations. By the end of this course, you will be able to easily tackle real-world problems and ensure steady career growth and will be equipped with the knowledge of all the essential concepts you need to excel as a data science professional. Who this book is for This course is designed for people who want to become perfect in their data speak; people who want to learn data science and machine learning with real datasets in data science; people from a non-engineering background who want to enter the data science field; people who want to enter the machine learning field; people who want to learn data science and machine learning along with its implementation in realistic projects. For this course, no prior kno…
  note: "Updated in November 2021."
  note: Kashif Murtaza, presenter.
  subject:
    topic: Machine learning
  subject:
    topic: Apprentissage automatique
  subject:
    topic: Machine learning
  classification: Q325.5
  classification: 006.3/1
  identifier: 9781803230146 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: ORMDA
    record creation date: 220309
    record change date: 20260129210950.2
    record identifier: in00004670665
    language of cataloging:
      language term: eng