2019 AWS SageMaker and Machine Learning With Python-0daytown

Learn about cloud based machine learning algorithms and how to integrate with your applications

AWS Machine Learning Service is designed for complete beginners. You will learn three popular easy to understand linear algorithms from the ground-up. You will gain hands-on knowledge on complete lifecycle – from model development, measuring quality, tuning, and integration with your application.

The next service is AWS SageMaker. If you are comfortable coding in Python, SageMaker service is for you. You will learn how to deploy your own Jupyter Notebook instance on the AWS Cloud. You will gain hands-on model development experience on very powerful and popular machine learning algorithms like:

• XGBoost – a gradient boosted tree algorithm that has won several competitions,
• Recurrent Neural Networks for Time Series forecasting,
• Factorization Machines for high dimensional sparse datasets like Click Stream data
• Neural Network based Image Classifiers,
• Dimensionality reduction with Principal Component Analysis
• and much more

2019 AWS SageMaker and Machine Learning – With Python

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2019 AWS SageMaker and Machine Learning With Python

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