September 2022
Intermediate to advanced
549 pages
11h 27m
Chinese
Content preview from 基于AWS的数据科学实践
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为模型训练准备数据集
｜
223
s3_client.upload_file(flow_file_name, bucket,
f"{prefix}/{flow_name}.flow")
pipeline_name = f"datawrangler-pipeline-{int(time.time() * 10**7)}"
instance_type = ParameterString(name="InstanceType",
default_value="ml.m5.4xlarge")
instance_count = ParameterInteger(name="InstanceCount",
default_value=1)
step_process = Step(
name="DataWranglerProcessingStep",
step_type=StepTypeEnum.PROCESSING,
step_args=processing_job_arguments
)
pipeline = Pipeline(
name=pipeline_name,
parameters=[instance_type, instance_count],
steps=[step_process],
sagemaker_session=sess
)
pipeline.create(role_arn=role) ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.