Books > Computing & IT > Applications of computing > Artificial intelligence
|
Buy Now
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, 1st ed.)
Expected to ship within 10 - 15 working days
|
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
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.