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Books > Computing & IT > Applications of computing > Artificial intelligence

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Building Machine Learning and Deep Learning Models on Google Cloud Platform - A Comprehensive Guide for Beginners (Paperback, 1st ed.) Loot Price: R1,092
Discovery Miles 10 920
You Save: R230 (17%)
Building Machine Learning and Deep Learning Models on Google Cloud Platform - A Comprehensive Guide for Beginners (Paperback,...

Building Machine Learning and Deep Learning Models on Google Cloud Platform - A Comprehensive Guide for Beginners (Paperback, 1st ed.)

Ekaba Bisong

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List price R1,322 Loot Price R1,092 Discovery Miles 10 920 | Repayment Terms: R102 pm x 12* You Save R230 (17%)

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Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform. Author Ekaba Bisong shows you how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. He teaches you how deep learning extends the machine learning algorithm of neural networks to learn complex tasks that are difficult for computers to perform, such as recognizing faces and understanding languages. And you will know how to leverage cloud computing to accelerate data science and machine learning deployments. Building Machine Learning and Deep Learning Models on Google Cloud Platform is divided into eight parts that cover the fundamentals of machine learning and deep learning, the concept of data science and cloud services, programming for data science using the Python stack, Google Cloud Platform (GCP) infrastructure and products, advanced analytics on GCP, and deploying end-to-end machine learning solution pipelines on GCP. What You'll Learn Understand the principles and fundamentals of machine learning and deep learning, the algorithms, how to use them, when to use them, and how to interpret your results Know the programming concepts relevant to machine and deep learning design and development using the Python stack Build and interpret machine and deep learning models Use Google Cloud Platform tools and services to develop and deploy large-scale machine learning and deep learning products Be aware of the different facets and design choices to consider when modeling a learning problem Productionalize machine learning models into software products Who This Book Is For Beginners to the practice of data science and applied machine learning, data scientists at all levels, machine learning engineers, Google Cloud Platform data engineers/architects, and software developers

General

Imprint: Apress
Country of origin: United States
Release date: September 2019
First published: 2019
Authors: Ekaba Bisong
Dimensions: 254 x 178 x 22mm (L x W x T)
Format: Paperback
Pages: 709
Edition: 1st ed.
ISBN-13: 978-1-4842-4469-2
Categories: Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN: 1-4842-4469-9
Barcode: 9781484244692

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