Use coupon code “SUMMER20” for a 20% discount on all items! Valid until 2024-08-31

Site Logo
Search Suggestions

      Royal Mail  express delivery to UK destinations

      Regular sales and promotions

      Stock updates every 20 minutes!

      AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) Exam

      1 in stock

      Firm sale: non returnable item
      SKU 9781119821007 Categories ,
      Succeed on the AWS Machine Learning exam or in your next job as a machine learning specialist on the AWS Cloud platform with this hands-on guide  As the most popular cloud service in the world today, Amazon Web Services offers a wide range of opportunities for those interested in the devel...

      £47.50

      Buy new:

      Delivery: UK delivery Only. Usually dispatched in 1-2 working days.

      Shipping costs: All shipping costs calculated in the cart or during the checkout process.

      Standard service (normally 2-3 working days): 48hr Tracked service.

      Premium service (next working day): 24hr Tracked service – signature service included.

      Royal mail: 24 & 48hr Tracked: Trackable items weighing up to 20kg are tracked to door and are inclusive of text and email with ‘Leave in Safe Place’ options, but are non-signature services. Examples of service expected: Standard 48hr service – if ordered before 3pm on Thursday then expected delivery would be on Saturday. If Premium 24hr service used, then expected delivery would be Friday.

      Signature Service: This service is only available for tracked items.

      Leave in Safe Place: This option is available at no additional charge for tracked services.

      Description

      Product ID:9781119821007
      Product Form:Paperback / softback
      Country of Manufacture:US
      Title:AWS Certified Machine Learning Study Guide
      Subtitle:Specialty (MLS-C01) Exam
      Authors:Author: Shreyas Subramanian, Stefan Natu
      Page Count:352
      Subjects:Machine learning, Machine learning
      Description:Succeed on the AWS Machine Learning exam or in your next job as a machine learning specialist on the AWS Cloud platform with this hands-on guide  As the most popular cloud service in 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 learning business solutions.  The AWS Certified Machine Learning Study Guide: Specialty (MLS-CO1) Exam delivers hyper-focused, authoritative instruction for anyone considering the pursuit of the prestigious Amazon Web Services Machine Learning certification or a new career as a machine learning specialist working within the AWS architecture.  From exam to interview to your first day on the job, this study guide provides the domain-by-domain specific knowledge you need to build, train, tune, and deploy machine learning models with the AWS Cloud. And with the practice exams and assessments, electronic flashcards, and supplementary online resources that accompany this Study Guide, you’ll be prepared for success in every subject area covered by the exam.  You’ll also find:  An intuitive and organized layout perfect for anyone taking the exam for the first time or seasoned professionals seeking a refresher on machine learning on the AWS Cloud Authoritative instruction on a widely recognized certification that unlocks countless career opportunities in machine learning and data science Access to the Sybex online learning resources and test bank, with chapter review questions, a full-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 for anyone seeking to prepare themselves for success on the AWS Certified Machine Learning Specialty exam or for a 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. 
      Imprint Name:Sybex Inc.,U.S.
      Publisher Name:John Wiley & Sons Inc
      Country of Publication:GB
      Publishing Date:2022-02-07

      Additional information

      Weight646 g
      Dimensions187 × 235 × 27 mm