[DOWNLOAD] Data Science on AWS PDF

Data Science on AWS PDF Free Download
Data Science on AWS PDF Free Download
eBook: O'reilly Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines PDF by Chris Fregly and Antje barth

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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 up your 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. 

1. Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and more 

2. Use automated machine learning to implement a specific subset of use cases with SageMaker Autopilot 

3. Dive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deployment 

4. 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. Curated from github, reddit and web, download free o'reilly pdf in one click from the below given link.

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Data Science Ebooks
July 27, 2021
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Comments

  1. AnonymousJuly 28, 2021

    Straight away the first 4 chapters was applicable for me in a data engineering. Project. Very informative book for data science on AWS

    ReplyDelete
  2. AnonymousJuly 28, 2021

    With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data sci

    ReplyDelete

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