Practical Machine Learning with Aws: Process, Build, Deploy, and Productionize Your Models Using Aws, Singh Himanshu

Автор: Alla Sridhar, Adari Suman Kalyan
Название: Beginning Mlops with Mlflow: Deploy Models in Aws Sagemaker, Google Cloud, and Microsoft Azure
ISBN: 1484265483 ISBN-13(EAN): 9781484265482
Издательство: Springer
Цена: 7317.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Intermediate-Advanced user level

Автор: Radečic Dario
Название: Machine Learning Automation with TPOT: Build, validate, and deploy fully automated machine learning models with Python
ISBN: 180056788X ISBN-13(EAN): 9781800567887
Издательство: Неизвестно
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Цена: 8458.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: If you are a developer looking to build machine learning models without spending months and years learning machine learning prerequisites, look no further than AutoML. This practical and concise guide will show you how to build automated models for regression and classification, both with traditional algorithms and neural networks.

Автор: Singh Pramod
Название: Deploy Machine Learning Models to Production: With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform
ISBN: 1484265459 ISBN-13(EAN): 9781484265451
Издательство: Springer
Цена: 5487.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Intermediate-Advanced user level

Автор: Lee Denny, Drabas Tomasz
Название: Learning PySpark: Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0
ISBN: 1786463709 ISBN-13(EAN): 9781786463708
Издательство: Неизвестно
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Цена: 9378.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book will get you to grips with the Spark Python API. You`ll explore how Python can be used with Spark to build scalable and reliable data-intensive applications.

Автор: Palanisamy Praveen
Название: TensorFlow 2 Reinforcement Learning Cookbook: Over 50 recipes to help you build, train, and deploy learning agents for real-world applications
ISBN: 183898254X ISBN-13(EAN): 9781838982546
Издательство: Неизвестно
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Цена: 9378.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This cookbook will help you to gain a solid understanding of deep reinforcement learning (RL) algorithms with the help of concise, easy-to-follow implementations from scratch. You`ll learn how to implement these algorithms with minimal code and develop AI applications to solve real-world and business problems using RL.

Автор: Fregly Chris, Barth Antje
Название: Data Science on Aws: Implementing End-To-End, Continuous AI and Machine Learning Pipelines
ISBN: 1492079391 ISBN-13(EAN): 9781492079392
Издательство: Wiley
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Цена: 10136.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.

Автор: Mengle Saket S. R., Gurmendez Maximo
Название: Mastering Machine Learning on AWS
ISBN: 1789349796 ISBN-13(EAN): 9781789349795
Издательство: Неизвестно
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Цена: 7539.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book will help you master your skills in various artificial intelligence and machine learning services available on AWS. Through practical hands-on examples, you`ll learn how to use these services to generate impressive results. You will have a tremendous understanding of how to use a wide range of AWS services in your own organization.

Автор: Team Documentation
Название: Aws Deeplens Developer Guide
ISBN: 9888408429 ISBN-13(EAN): 9789888408429
Издательство: Неизвестно
Цена: 6550.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

AWS DeepLens is a wireless video camera and API. It shows you how to use the latest Artificial Intelligence (AI) tools and technology to develop computer vision applications. Through examples and tutorials, AWS DeepLens gives you hands-on experience using a physical camera to run real-time computer vision models.