Breaking into machine learning engineering a primer on MLE skills and interviews for beginners

Machine learning powers all the major tech companies-all major search engines, web browsers, media sites (such as Spotify and Youtube) use machine learning. One in ten enterprises use ML/AI applications such as chatbots, fraud detection, and other algorithms. As such, it is a massive industry bringi...

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Weitere Verfasser: Chang, Susan Shu (MitwirkendeR)
Format: Elektronisch Video
Sprache:English
Veröffentlicht: [Sebastopol, California] O'Reilly Media, Inc. [2024]
Ausgabe:[First edition].
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spelling Breaking into machine learning engineering a primer on MLE skills and interviews for beginners
[First edition].
[Sebastopol, California] O'Reilly Media, Inc. [2024]
1 online resource (1 video file (57 min.)) sound, color.
zweidimensionales bewegtes Bild tdi rdacontent
Computermedien c rdamedia
Online-Ressource cr rdacarrier
Online resource; title from title details screen (O'Reilly, viewed October 10, 2024)
Machine learning powers all the major tech companies-all major search engines, web browsers, media sites (such as Spotify and Youtube) use machine learning. One in ten enterprises use ML/AI applications such as chatbots, fraud detection, and other algorithms. As such, it is a massive industry bringing in billions of dollars of value, with high demand for talent. This course teaches learners how to get started in the ML field: what skills to learn and what MLE interviews entail. This course gives an overview of various MLE roles (including GenAI), interview components such as ML theory, programming, and behavioral interviews, and what skills job seekers need to prepare. After this course, you will walk away with a clear set of steps you can take to break into machine learning engineering.
Machine learning
Artificial intelligence
Apprentissage automatique
Intelligence artificielle
artificial intelligence
Instructional films
Nonfiction films
Internet videos
Films de formation
Films autres que de fiction
Vidéos sur Internet
Chang, Susan Shu MitwirkendeR ctb
O'Reilly (Firm), Verlag pbl
TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/0642572057770/?ar X:ORHE Aggregator lizenzpflichtig Volltext
spellingShingle Breaking into machine learning engineering a primer on MLE skills and interviews for beginners
Machine learning
Artificial intelligence
Apprentissage automatique
Intelligence artificielle
artificial intelligence
Instructional films
Nonfiction films
Internet videos
Films de formation
Films autres que de fiction
Vidéos sur Internet
title Breaking into machine learning engineering a primer on MLE skills and interviews for beginners
title_auth Breaking into machine learning engineering a primer on MLE skills and interviews for beginners
title_exact_search Breaking into machine learning engineering a primer on MLE skills and interviews for beginners
title_full Breaking into machine learning engineering a primer on MLE skills and interviews for beginners
title_fullStr Breaking into machine learning engineering a primer on MLE skills and interviews for beginners
title_full_unstemmed Breaking into machine learning engineering a primer on MLE skills and interviews for beginners
title_short Breaking into machine learning engineering
title_sort breaking into machine learning engineering a primer on mle skills and interviews for beginners
title_sub a primer on MLE skills and interviews for beginners
topic Machine learning
Artificial intelligence
Apprentissage automatique
Intelligence artificielle
artificial intelligence
Instructional films
Nonfiction films
Internet videos
Films de formation
Films autres que de fiction
Vidéos sur Internet
topic_facet Machine learning
Artificial intelligence
Apprentissage automatique
Intelligence artificielle
artificial intelligence
Instructional films
Nonfiction films
Internet videos
Films de formation
Films autres que de fiction
Vidéos sur Internet
url https://learning.oreilly.com/library/view/-/0642572057770/?ar
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