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Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines (Greyscale Indian Edition)

MRP: Rs.1,900.00
Price in points: 1900 points
9788194722991
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Minimum quantity for "Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines (Greyscale Indian Edition)" is 1.

All Indian Reprints of O'Reilly are printed in Grayscale

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

Books

Author:
Chris Fregly
Author 1:
Antje Barth
Binding:
Paperback
Condition Type:
New
Country Origin:
India
Edition:
First
Gift Wrap:
N
Leadtime to ship in days (default):
ships in 1-2 days
Leadtime to ship in days(if not in stock):
ships in 12-15 days
Pages:
524
Publication Date:
14/04/2021
Publisher:
Shroff/O'Reilly
Year:
2021

Dimensions

Dimensions (W x H x D):
7 x 9 x 1 inch

Table of Contents (9788194722991_toc.pdf, 179 Kb) [Download]