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: Preparing and exploring security data for machine learning
  name:
    name part: Givre, Charles
    role:
      role term: presenter.
  name:
    name part: O'Reilly (Firm)
    role:
      role term: publisher.
  type of resource: moving image
  genre: videorecording
  genre: Instructional films.
  genre: Internet videos.
  genre: Nonfiction films.
  origin info:
    place:
      place term: xx
    date issued: 2018
    edition: [First edition].
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file (1 hr., 54 min.)) : sound, color.
  abstract: What is this video course about, and why is it important? Today, arguably the most important field in the IT industry is security. With more and more commerce and business being conducted online every day, keeping data safe and detecting and repelling attacks is paramount to every organization. One area that shows great potential in the battle against hackers and their exploits is machine learning. Unleashing the increasing power and finesse of these systems toward defeating intrusions and data theft is no longer a theoretical pursuit. Indeed, machine learning is being used to defend systems and networks across an increasing range of industries and enterprises, so it's no mystery that there's also an increasing demand for skilled and qualified security specialists who can apply data science techniques to the task of data security. If you're a security engineer, network analyst, or anyone else charged with protecting your organization's valuable IT system and data, this video will show you how to quickly and efficiently ingest a variety of data types typically used in security settings and prepare them for analysis in the Python data science ecosystem. Your host, cyber security specialist and data scientist Charles Givre, teaches the concepts behind vectorized computing as it applies specifically to security. Gathering and preparing data is one of the biggest challenges facing anyone who is seeking to do advanced analysis and machine learning. This video will help you learn how to use the Pandas ecosystem to quickly and effectively gather, prepare, and explore security data for advanced analysis and machine learning. This video is one in a set of three, intended for security professionals who want to learn how to use and apply data science to their toughest security problems. It focuses on the tools and techniques that are directly applicable to the industry, and uses security problems and datasets to walk you through the entire data science process from end-to-end. …
  note: Charles Givre, presenter.
  subject:
    topic: Computer networks
    topic: Security measures
  subject:
    topic: Machine learning
  subject:
    topic: Computer security
  subject:
    topic: Computer networks
    topic: Security measures
  subject:
    topic: Computer security
  subject:
    topic: Machine learning
  subject:
    topic: Réseaux d'ordinateurs
    topic: Sécurité
    topic: Mesures
  subject:
    topic: Apprentissage automatique
  subject:
    topic: Sécurité informatique
  classification: TK5105.59
  classification: 005.8
  identifier: 9781492032335
  identifier: 1492032336
  identifier: 9781492032335 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: ORMDA
    record creation date: 221018
    record change date: 20260123214752.5
    record identifier: in00004672505
    language of cataloging:
      language term: eng