Название: Cloud Computing for Data Analysis : The missing semester of Data ScienceАвтор: Noah Gift
Издательство: Leanpub
Год: 2021-07-08
Страниц: 209
Язык: английский
Формат: pdf (true), epub
Размер: 45.8 MB
This book is designed to give you a comprehensive view of cloud computing including Big Data and Machine Learning. Many resources will be used including interactive labs on Cloud Platforms (Google, AWS, Azure) using Python. This is a project-based book with extensive hands-on assignments. Based on material taught at leading universities.
So what will you learn in this book? Here are a few examples of what you should be able to accomplish after reading the book:
• Create Cloud Machine Learning workspaces
• Manage Machine Learning experiments and compute contexts
• Create models by using Machine Learning Designer GUI tools
• Create a training pipeline with various cloud platforms
• Automate and monitor a pipeline
• Automate and watch an experiments
• Use AutoML
• Deploy machine learning model to Azure, GCP, and AWS
• Load test the machine learning endpoints
• Debug production issues with the machine learning models
• Build useful logging for the machine learning model
• Build useful APIs for the machine learning model
• Determine the appropriate cloud architecture for production deployment (i.e., GPU, elastic endpoints, etc
• Apply continuous delivery to the machine learning system
• Build a Cloud-based “Machine Learning engineering” portfolio project.
• Create a Machine Learning engineering solution to a business problem
• Use originality to create compelling screencasts of their projects
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