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Hands-On Labs: MLS-CO1: AWS Certified Machine Learning Specialty- Based On Real World Case Studies: First Edition - 2022 by IP Specialist
English | 2022 | ISBN: N/A | ASIN: B0B9NPW4QD | 507 pages | EPUB | 41 Mb
MLS-C01 - AWS Certified Machine Learning Specialty - Hands-on Labs - First Edition

About the Author
Nouman Ahmed Khan
AWS/Azure/GCP-Architect, CCDE, CCIEx5 (R&S, SP, Security, DC, Wireless), CISSP, CISA, CISM, CRISC, ISO27K-LA is a Solution Architect working with a global telecommunication provider. He works with enterprises, mega-projects, and service providers to help them select the best-fit technology solutions. He also works as a consultant to understand customer business processes and helps select an appropriate technology strategy to support business goals. He has more than fifteen years of experience working with global clients.
MASTER THE AWS CERTIFIED MACHINE LEARNING SPECIALTY IN 7 DAYS!
Anyone pursuing the prestigious Amazon Web Services Machine Learning certification or a new career as a machine learning specialist working within the AWS architecture will benefit from the AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) Exam, which provides hyper-focused, authoritative instruction.
This latest AWS Certified Machine Learning Specialty (MLS-C01) Hands-on Labs Prep Specialization consists of domains that will act as a bedrock of all the required knowledge to prepare you for the MLS-C01 certification exam and for a career in the cloud.
This is a highly practical, intensive, yet comprehensive book that will teach you to become an AWS Machine Learning expert. The book is for anyone who would like to master the art of AWS Machine Learning fundamentals. It is a perfect resource to pass the AWS Certified Machine Learning Specialty (MLS-C01) exam on the first attempt. The latest edition includes:
- Hand-on practice labs.
- Case Studies
This exam measures your ability to describe the following concepts:
-Data Engineering
-Exploratory Data Analysis
-Modeling
-Machine Learning implementation and Operations

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