Sách Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines

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Sách Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Sách Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Sách Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Sách Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Sách Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Sách Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Sách Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Sách Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Sách Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Sách Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Sách Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Sách Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Sách Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Sách Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines

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Sách Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines

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Mã sản phẩm:
Danh mục: Sách ngoại ngữ, Sách IT, Sách chuyên ngành, Sách Tiếng Anh quyển Lẻ
Tình trạng: Còn hàng

Mô tả

Sách Data Science on AWS Implementing End-to-End, Continuous AI and Machine Learning Pipelines

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

https://zalo.me/0969436832

0969436832