AWS Certified Machine Learning Study Guide
eBook - PDF

AWS Certified Machine Learning Study Guide

Specialty (MLS-C01) Exam

Shreyas Subramanian, Stefan Natu

Share book
  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

AWS Certified Machine Learning Study Guide

Specialty (MLS-C01) Exam

Shreyas Subramanian, Stefan Natu

Book details
Table of contents
Citations

About This Book

Succeed on the AWS Machine Learning exam orinyour next jobas amachine learningspecialiston the AWSCloud platformwith this hands-on guide

As the most popular cloud servicein the world today, Amazon Web Services offers a wide range of opportunities for those interested in the development and deployment of artificial intelligence and machine learningbusinesssolutions.

The AWS Certified Machine Learning Study Guide: Specialty (MLS-CO1) Exam delivershyper-focused, authoritative instruction for anyone considering the pursuit of theprestigious Amazon Web Services Machine Learning certification or a new career as a machine learning specialistworking within the AWS architecture.

From exam to interview to your first day on the job, this study guide provides the domain-by-domainspecific knowledge you need to build, train, tune, and deploy machine learning models with the AWSCloud. And with the practice exams and assessments, electronic flashcards, and supplementary online resourcesthataccompany this Study Guide, you'll be prepared for successin every subject area covered by the exam.

You'll also find:

  • An intuitive and organized layout perfect foranyone taking the exam for the first time or seasoned professionals seeking a refresher on machine learningonthe AWSCloud
  • Authoritative instruction on a widely recognized certification that unlocks countless career opportunities in machine learning and data science
  • AccesstotheSybexonline learningresourcesand test bank, with chapter review questions, afull-length practice exam, hundreds of electronic flashcards, and a glossary of key terms

AWS Certified Machine Learning Study Guide: Specialty (MLS-CO1) Exam is an indispensable guide foranyone seeking to prepare themselves for success on the AWS Certified Machine Learning Specialty examorfora job interview in the field of machine learning, or who wishes to improve their skills in the field as they pursue a career in AWS machine learning.

Frequently asked questions

How do I cancel my subscription?
Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.
Can/how do I download books?
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
What is the difference between the pricing plans?
Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.
What is Perlego?
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Do you support text-to-speech?
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Is AWS Certified Machine Learning Study Guide an online PDF/ePUB?
Yes, you can access AWS Certified Machine Learning Study Guide by Shreyas Subramanian, Stefan Natu in PDF and/or ePUB format, as well as other popular books in Informatique & Réseaux informatiques. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Sybex
Year
2021
ISBN
9781119821021

Table of contents