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You're reading from  Automated Machine Learning with Microsoft Azure

Product typeBook
Published inApr 2021
PublisherPackt
ISBN-139781800565319
Edition1st Edition
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Author (1)
Dennis Michael Sawyers
Dennis Michael Sawyers
author image
Dennis Michael Sawyers

Dennis Michael Sawyers is a senior cloud solutions architect (CSA) at Microsoft, specializing in data and AI. In his role as a CSA, he helps Fortune 500 companies leverage Microsoft Azure cloud technology to build top-class machine learning and AI solutions. Prior to his role at Microsoft, he was a data scientist at Ford Motor Company in Global Data Insight and Analytics (GDIA) and a researcher in anomaly detection at the highly regarded Carnegie Mellon Auton Lab. He received a master's degree in data analytics from Carnegie Mellon's Heinz College and a bachelor's degree from the University of Michigan. More than anything, Dennis is passionate about democratizing AI solutions through automated machine learning technology.
Read more about Dennis Michael Sawyers

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Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "You have another helper function here, get_forecasting_output."

A block of code is set as follows:

from azureml.core import Workspace, Dataset, Datastore
from azureml.core import Experiment
from azureml.core.compute import ComputeTarget
from azureml.train.automl import AutoMLConfig
from azureml.train.automl.run import AutoMLRun
from azureml.widgets import RunDetails

Any command-line input or output is written as follows:

from azureml.pipeline.core import PipelineRun
experiment = Experiment(ws, 'your-experiment_name')
pipeline_run = PipelineRun(experiment, 'your-pipeline-run-id')

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "Go to Experiments under Assets in Azure Machine Learning Studio, click your experiment name, select your run ID, click the Models tab, select the highest-performing algorithm, and click the Metrics tab."

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Automated Machine Learning with Microsoft Azure
Published in: Apr 2021Publisher: PacktISBN-13: 9781800565319

Author (1)

author image
Dennis Michael Sawyers

Dennis Michael Sawyers is a senior cloud solutions architect (CSA) at Microsoft, specializing in data and AI. In his role as a CSA, he helps Fortune 500 companies leverage Microsoft Azure cloud technology to build top-class machine learning and AI solutions. Prior to his role at Microsoft, he was a data scientist at Ford Motor Company in Global Data Insight and Analytics (GDIA) and a researcher in anomaly detection at the highly regarded Carnegie Mellon Auton Lab. He received a master's degree in data analytics from Carnegie Mellon's Heinz College and a bachelor's degree from the University of Michigan. More than anything, Dennis is passionate about democratizing AI solutions through automated machine learning technology.
Read more about Dennis Michael Sawyers