Bộ sách luyện thi ETS 2023 LC&RC
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299,000₫
Sách Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines (sách keo gáy, bìa mềm)
Thể loại:Computers - Computer Science
Năm:2021
In lần thứ:1
Nhà xuát bản:O'Reilly Media
Ngôn ngữ:english
Trang:524
With this practical book, AI and machine learning practitioners will
learn how to successfully build and deploy data science projects on
Amazon Web Services. The Amazon AI and machine learning stack unifies
data science, data engineering, and application development to help
level upyour skills. This guide shows you how to build and run pipelines
in the cloud, then integrate the results into applications in minutes
instead of days. Throughout the book, authors Chris Fregly and Antje
Barth demonstrate how to reduce cost and improve performance.
• Apply
the Amazon AI and ML stack to real-world use cases for natural language
processing, computer vision, fraud detection, conversational devices,
and more
• Use automated machine learning to implement a specific subset of use cases with SageMaker Autopilot
•
Dive deep into the complete model development lifecycle for a
BERT-based NLP use case including data ingestion, analysis, model
training, and deployment
• Tie everything together into a repeatable machine learning operations pipeline
•
Explore real-time ML, anomaly detection, and streaming analytics on
data streams with Amazon Kinesis and Managed Streaming for Apache Kafka
•
Learn security best practices for data science projects and workflows
including identity and access management, authentication, authorization,
and more
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