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Download ML For Operations: Pitfalls, Dead Ends, and Hope by ['Alamuru Srinidhi'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About ML For Operations: Pitfalls, Dead Ends, and Hope
1) The document discusses the potential and challenges of using machine learning (ML) to automate operations work like deployments, monitoring, and incident response. 2) It provides an overview of the main types of ML - supervised learning using labeled examples, unsupervised learning to cluster unlabeled data, and reinforcement learning where an agent learns through trial and error. 3) While ML seems well-suited to automate operations tasks, the document notes that ML models can be difficult to explain, debug, and apply robustly due to issues like errors in training data or mismatches between training and inference.
Detailed Information
| Author: | ['Alamuru Srinidhi'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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