Prepare for the GCP ML certification exam along with exploring
cloud computing and machine learning concepts and gaining Google
Cloud ML skills Key Features A comprehensive yet easy-to-follow
Google Cloud machine learning study guide Explore full-spectrum and
step-by-step practice examples to develop hands-on skills Read
through and learn from in-depth discussions of Google ML
certification exam questions Book DescriptionThis book aims to
provide a study guide to learn and master machine learning in
Google Cloud: to build a broad and strong knowledge base, train
hands-on skills, and get certified as a Google Cloud Machine
Learning Engineer. The book is for someone who has the basic Google
Cloud Platform (GCP) knowledge and skills, and basic Python
programming skills, and wants to learn machine learning in GCP to
take their next step toward becoming a Google Cloud Certified
Machine Learning professional. The book starts by laying the
foundations of Google Cloud Platform and Python programming,
followed the by building blocks of machine learning, then focusing
on machine learning in Google Cloud, and finally ends the studying
for the Google Cloud Machine Learning certification by integrating
all the knowledge and skills together. The book is based on the
graduate courses the author has been teaching at the University of
Texas at Dallas. When going through the chapters, the reader is
expected to study the concepts, complete the exercises, understand
and practice the labs in the appendices, and study each exam
question thoroughly. Then, at the end of the learning journey, you
can expect to harvest the knowledge, skills, and a certificate.
What you will learn Provision Google Cloud services related to data
science and machine learning Program with the Python programming
language and data science libraries Understand machine learning
concepts and model development processes Explore deep learning
concepts and neural networks Build, train, and deploy ML models
with Google BigQuery ML, Keras, and Google Cloud Vertex AI Discover
the Google Cloud ML Application Programming Interface (API) Prepare
to achieve Google Cloud Professional Machine Learning Engineer
certification Who this book is forAnyone from the cloud computing,
data analytics, and machine learning domains, such as cloud
engineers, data scientists, data engineers, ML practitioners, and
engineers, will be able to acquire the knowledge and skills and
achieve the Google Cloud professional ML Engineer certification
with this study guide. Basic knowledge of Google Cloud Platform and
Python programming is required to get the most out of this book.
General
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