Taking Models to the Next Level with Azure Machine Learning Best Practices | Pluralsight


Taking Models to the Next Level with Azure Machine Learning Best Practices | Pluralsight
English | Size: 135.31 MB
Genre: eLearning

Tailwind Traders’ data science team uses natural language processing (NLP), and recently discovered how to fine tune and build a baseline models with Automated ML. In this session, learn what Automated ML is and why it’s so powerful, then dive into how to improve upon baseline models using examples from the NLP best practices repository. We highlight Azure Machine Learning key features and how you can apply them to your organization, including: low priority compute instances, distributed training with auto scale, hyperparameter optimization, collaboration, logging, and deployment.

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