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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| Formato: | Vídeo online |
| Idioma: | Inglés |
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[Sebastopol, California] :
O'Reilly Media, Inc
[2024]
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| Edición: | [First edition] |
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009852335606719 |
| Sumario: | 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. |
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| Descripción Física: | 1 online resource (1 video file (57 min.)) : sound, color |
