Pluralsight - Foundations of Machine Learning Engineering

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Free Download Pluralsight - Foundations of Machine Learning Engineering
Released 5/2025
By Maaike van Putten
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 41m | Size: 223 MB

Machine learning and AI are rapidly growing fields. This course will teach you the fundamentals of machine learning, including the workflow and real-world challenges. This will give you the foundation for ML discussions and continuing the learning.
Machine learning and AI are rapidly growing domains, and a foundational level of understanding is becoming valuable and even necessary across many industries. In this course, Foundations of Machine Learning Engineering, you'll learn the basic concepts of machine learning engineering and how ML models are developed, deployed, and maintained. First, you'll explore an overview of the ML domain. Next, you'll discover the machine learning workflow, covering data collection, model development, deployment, and monitoring. Finally, you'll learn about the challenges in the machine learning domain. When you're finished with this course, you'll have the skills and knowledge of machine learning needed to continue your learning in this domain and participate in basic discussions about ML applications.
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Foundations of Machine Learning Engineering
Published 5/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz
Language: English | Size: 260 MB | Duration: 41m 43s​

Machine learning and AI are rapidly growing domains, and a foundational level of understanding is becoming valuable and even necessary across many industries. In this course, Foundations of Machine Learning Engineering, you'll learn the basic concepts of machine learning engineering and how ML models are developed, deployed, and maintained. First, you'll explore an overview of the ML domain. Next, you'll discover the machine learning workflow, covering data collection, model development, deployment, and monitoring. Finally, you'll learn about the challenges in the machine learning domain.
When you're finished with this course, you'll have the skills and knowledge of machine learning needed to continue your learning in this domain and participate in basic discussions about ML applications.

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