Machine Learning Engineer vs Data Scientist vs Data Engineer
There’s one specific role that builds a bridge between data science and its practical counterpart, machine learning. Meet the machine learning engineer.
In this video we explain:
1) ML engineer’s responsibilities, including:
• Data preparation
• Selecting an algorithm
• Model training
• Model deployment and integration with data sources
• Model performance monitoring and evaluation
• Retraining
2) Background and skillset of the ML engineer
3) When you should hire an ML engineer
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The original video was published with the Creative Commons Attribution license (reuse allowed). Link:
• What is a Machine Learning Engineer
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