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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide
AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide: The definitive guide to passing the MLS-C01 exam on the very first attempt

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Profile Icon Somanath Nanda Profile Icon Weslley Moura
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$12.99 per month
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.8 (13 Ratings)
Paperback Mar 2021 338 pages 1st Edition
eBook
$55.99
Paperback
$69.99
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Free Trial
Renews at $12.99p/m
Arrow left icon
Profile Icon Somanath Nanda Profile Icon Weslley Moura
Arrow right icon
$12.99 per month
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.8 (13 Ratings)
Paperback Mar 2021 338 pages 1st Edition
eBook
$55.99
Paperback
$69.99
Subscription
Free Trial
Renews at $12.99p/m
eBook
$55.99
Paperback
$69.99
Subscription
Free Trial
Renews at $12.99p/m

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Key benefits

  • Get to grips with core machine learning algorithms along with AWS implementation
  • Build model training and inference pipelines and deploy machine learning models to the Amazon Web Services (AWS) cloud
  • Learn all about the AWS services available for machine learning in order to pass the MLS-C01 exam

Description

The AWS Certified Machine Learning Specialty exam tests your competency to perform machine learning (ML) on AWS infrastructure. This book covers the entire exam syllabus using practical examples to help you with your real-world machine learning projects on AWS. Starting with an introduction to machine learning on AWS, you'll learn the fundamentals of machine learning and explore important AWS services for artificial intelligence (AI). You'll then see how to prepare data for machine learning and discover a wide variety of techniques for data manipulation and transformation for different types of variables. The book also shows you how to handle missing data and outliers and takes you through various machine learning tasks such as classification, regression, clustering, forecasting, anomaly detection, text mining, and image processing, along with the specific ML algorithms you need to know to pass the exam. Finally, you'll explore model evaluation, optimization, and deployment and get to grips with deploying models in a production environment and monitoring them. By the end of this book, you'll have gained knowledge of the key challenges in machine learning and the solutions that AWS has released for each of them, along with the tools, methods, and techniques commonly used in each domain of AWS ML.

Who is this book for?

This AWS book is for professionals and students who want to prepare for and pass the AWS Certified Machine Learning Specialty exam or gain deeper knowledge of machine learning with a special focus on AWS. Beginner-level knowledge of machine learning and AWS services is necessary before getting started with this book.

What you will learn

  • Understand all four domains covered in the exam, along with types of questions, exam duration, and scoring
  • Become well-versed with machine learning terminologies, methodologies, frameworks, and the different AWS services for machine learning
  • Get to grips with data preparation and using AWS services for batch and real-time data processing
  • Explore the built-in machine learning algorithms in AWS and build and deploy your own models
  • Evaluate machine learning models and tune hyperparameters
  • Deploy machine learning models with the AWS infrastructure

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 19, 2021
Length: 338 pages
Edition : 1st
Language : English
ISBN-13 : 9781800569003
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Product Details

Publication date : Mar 19, 2021
Length: 338 pages
Edition : 1st
Language : English
ISBN-13 : 9781800569003
Category :
Languages :
Tools :

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Frequently bought together


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Total $ 173.97
AWS Certified DevOps Engineer - Professional Certification and Beyond
$54.99
Learn Amazon SageMaker
$48.99
AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide
$69.99
Total $ 173.97 Stars icon
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Full star icon Full star icon Full star icon Half star icon Empty star icon 3.8
(13 Ratings)
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1 star 15.4%
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Anshuman Ranjan Apr 25, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Recently cleared the exam , This book is a must read with details on all components of the exam .The code projects associated with each service is very useful and Must do , as the exam will test your ability to understand gotchas on implementation . Highly Recommend !!
Amazon Verified review Amazon
IntegralBill Apr 24, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The media could not be loaded. Please refer to my video for my full review.In summary, I was looking all over for a book specifically for this exam and didn't have much luck. Although I still recommend using other sources, I would definitely recommend one of the sources of study material be a copy of this book!
Amazon Verified review Amazon
Lucinda Linde May 28, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide: The definitive guide to passing the MLS-C01 exam on the very first attemptBy Somanath NandaDisclaimer: This review has been requested by the publisher, and I am giving my honest review of this book. This review is based on reading the book. As with any Packt publication, it's also necessary to try out the code, which I will at a later point in time.OverviewThis book covers the areas tested in the AWS Machine Learning Specialty exam. In addition to providing the info, it also has practice questions that are like the questions asked in the MLS-C01 exam. Although I plan to take this exam in a couple of months, I am already using this book as a reference for ways to approach an NLP project I’m working on. This book will make me a better practitioner of machine learning because it provides context for which algorithms work better in which situations. It will probably become one of the short-list references to use when embarking on a new ML project.What I like about this bookThis book takes you from the ‘big picture’ basics of machine learning in the first chapter, to recent powerful algorithms such as LDA to find topic models within natural language processing.The book is organized into these sections:• Fundamentals• Data Engineering and Exploratory Data Analysis (EDA)• Data Modeling and Evaluating ModelsWithin each section there are chapters that tie in the specific AWS services that help you accomplish the step in the data pipeline. For example, within the EDA section, there’s a chapter on Data Visualization. Most of the chapter is about the different types of visualizations, which are important and why- with examples. At the end, AWS QuickSight is mentioned as the way to visualize data.The Data Storing and Data Processing chapters bring together the many AWS services that support the data access and data wrangling that takes between 80 to 95% of a Data Scientist’s time. It is helpful to see how each of the services fit together in the ML work flow.In most chapters, there is a hands-on portion to try out the AWS capabilities discussed in that chapter. ‘Doing’ cements my learning best- so this is much appreciated.Another reviewer pointed out that this book would have been very helpful when studying for the MLS-CO1 exam. He also mentioned there is no other book like this on the market. I will definitely use this book, as well as a Udemy course to help me prepare for the exam. If the course assumes too much knowledge, this book will be perfect for supplementing anything I may have forgotten or didn’t completely understand.What I don’t like about this bookIn some chapters the AWS service is mentioned but there is no hands-on example. This is true, for example, in the Data Visualization chapter. QuickSight is mentioned and discussed, but there is no hands-on example. Since I haven’t taken the exam yet, this may be a very appropriate choice given how the exam is laid out. However, when using this book as a reference, it might be helpful to have the hands-on example. I understand there is a tradeoff between completeness and covering the material that matters to pass the exam.OverallAWS Certified Machine Learning Specialty: MLS-C01 Certification Guide is a much-needed addition to the resources that help people who want to solidify their ML skills and those who want to study for the MLS-C01 exam.
Amazon Verified review Amazon
Will Jan 09, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I recently passed the AWS machine learning specialty exam and utilized this book to help me prepare. The exam requires and in-depth understanding of models and practical applications. This book does an excellent job in providing those important foundational items. I would recommend supplementing this book with the AWS official study guide and AWS hands on experience. Running through the hands on examples in the book helped me a lot. Good Luck!
Amazon Verified review Amazon
Stephanie Jul 04, 2021
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
Awesome Guide too all problems that come while preparing for the MLS -C01 Certification Exam.The topics are clearly explained and practical examples are given.However, a few more could be included.The book gives a feel of what the Exam would look like.The book has 3 sections which give a clear picture of the various major machine learning techniques with step-by-step guidance to:• Introduction to Machine Learning. - Clear comparison between AI, ML and DL along with all the AI/ML offering of AWS.• Data Engineering and Exploratory Data Analysis (EDA) - Explains all the various steps involved right from data preparation & transformation, getting a clear understanding of data and visualizing the same.- Different Tools and offerings of AWS for Data Storage and Data Processing.• Data Modeling. - Applying the different ML Algorithms for either Text analysis or Image processing. - Evaluating and optimizing the models on different parameters - Brief high Level know how of Amazon SageMaker with clarity of the different types of instances to choose from to securing the Notebooks, etc...Overall a great read and would definitely recommend the AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide to all the aspirants who wish to take the MLS-C01 Exam.
Amazon Verified review Amazon
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