Data Science On Aws

Author: Chris Fregly
Editor: "O'Reilly Media, Inc."
ISBN: 1492079367
File Size: 77,37 MB
Format: PDF, ePub, Docs
Read: 6075
Download

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
Data Science on AWS
Language: en
Pages: 524
Authors: Chris Fregly, Antje Barth
Categories: Computers
Type: BOOK - Published: 2021-04-07 - Publisher: "O'Reilly Media, Inc."

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
Data Science on AWS
Language: en
Pages: 122
Authors: Chris Fregly, Antje Barth
Categories: Computers
Type: BOOK - Published: 2021 - Publisher:

If you use data to make critical business decisions, this book is for you. Whether you're a data analyst, research scientist, data engineer, ML engineer, data scientist, application developer, or systems developer, this guide helps you broaden your understanding of the modern data science stack, create your own machine learning
Data Science on AWS
Language: en
Pages: 524
Authors: Chris Fregly, Antje Barth
Categories: Computers
Type: BOOK - Published: 2021-04-07 - Publisher: "O'Reilly Media, Inc."

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
Machine Learning with AWS
Language: en
Pages: 254
Authors: Jeffrey Jackovich, Ruze Richards
Categories: Computers
Type: BOOK - Published: 2018-11-02 - Publisher:

Use artificial intelligence and machine learning on AWS to create engaging applications Key Features Explore popular AI and ML services with their underlying algorithms Use the AWS environment to manage your AI workflow Reinforce key concepts with hands-on exercises using real-world datasets Book Description Machine Learning with AWS is the
Mastering Machine Learning on AWS
Language: en
Pages: 306
Authors: Dr. Saket S.R. Mengle, Maximo Gurmendez
Categories: Computers
Type: BOOK - Published: 2019-05-20 - Publisher: Packt Publishing Ltd

Gain expertise in ML techniques with AWS to create interactive apps using SageMaker, Apache Spark, and TensorFlow. Key Features Build machine learning apps on Amazon Web Services (AWS) using SageMaker, Apache Spark and TensorFlow Learn model optimization, and understand how to scale your models using simple and secure APIs Develop,