Cargando…

AWS certified machine learning specialty : MLS-C01 certification guide : the definitive guide to passing the MLS-C01 exam on the very first attempt /

Prepare to achieve AWS Machine Learning Specialty certification with this complete, up-to-date guide and take the exam with confidence Key Features Get to grips with core machine learning algorithms along with AWS implementation Build model training and inference pipelines and deploy machine learnin...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Nanda, Somanath (Autor), Moura, Weslley (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2021.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

LEADER 00000cam a22000001i 4500
001 OR_on1246525528
003 OCoLC
005 20231017213018.0
006 m d
007 cr |||||||||||
008 210324s2021 enk o 000 0 eng d
040 |a UKMGB  |b eng  |e rda  |e pn  |c UKMGB  |d OCLCO  |d N$T  |d OCLCF  |d N$T  |d OCLCO  |d OCLCQ  |d IEEEE 
015 |a GBC152705  |2 bnb 
016 7 |a 020148432  |2 Uk 
020 |a 1800568436 
020 |a 9781800568433  |q (electronic bk.) 
020 |z 9781800569003 (pbk.) 
029 0 |a UKMGB  |b 020148432 
029 1 |a AU@  |b 000068895721 
035 |a (OCoLC)1246525528 
037 |a 9781800568433  |b Packt Publishing 
037 |a 10163442  |b IEEE 
050 4 |a QA76.585 
082 0 4 |a 006.31  |2 23 
049 |a UAMI 
100 1 |a Nanda, Somanath,  |e author. 
245 1 0 |a AWS certified machine learning specialty :  |b MLS-C01 certification guide : the definitive guide to passing the MLS-C01 exam on the very first attempt /  |c Somanath Nanda, Weslley Moura. 
264 1 |a Birmingham :  |b Packt Publishing,  |c 2021. 
300 |a 1 online resource 
336 |a text  |2 rdacontent 
337 |a computer  |2 rdamedia 
338 |a online resource  |2 rdacarrier 
500 |a Table of ContentsMachine Learning FundamentalsAWS Application Services for AI/MLData preparation and transformationData understanding and visualizationAWS services for data storingAWS Services for data migration and processingMachine Learning AlgorithmsModel evaluation and optimizationSageMaker modeling. 
588 |a Description based on CIP data; resource not viewed. 
520 |a Prepare to achieve AWS Machine Learning Specialty certification with this complete, up-to-date guide and take the exam with confidence Key Features 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 Book DescriptionThe 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. 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 Who this book is 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. 
505 0 |a Table of Contents Machine Learning Fundamentals AWS Application Services for AI/ML Data preparation and transformation Data understanding and visualization AWS services for data storing AWS Services for data migration and processing Machine Learning Algorithms Model evaluation and optimization SageMaker modeling. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
630 0 0 |a Amazon Web Services. 
650 0 |a Cloud computing  |x Examination  |v Study guides. 
650 0 |a Web services  |x Examinations  |v Study guides. 
650 0 |a Machine learning  |x Examinations  |v Study guides. 
650 6 |a Infonuagique  |x Examen  |v Guides de l'étudiant. 
650 6 |a Services Web  |x Examens  |v Guides de l'étudiant. 
650 6 |a Apprentissage automatique  |x Examens  |v Guides de l'étudiant. 
650 7 |a Cloud computing.  |2 fast  |0 (OCoLC)fst01745899 
655 7 |a Study guides.  |2 fast  |0 (OCoLC)fst01423888 
700 1 |a Moura, Weslley,  |e author. 
776 0 8 |i Print version:  |z 9781800569003 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781800569003/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
938 |a EBSCOhost  |b EBSC  |n 2894693 
994 |a 92  |b IZTAP