AWS Certified Machine Learning - Specialty:
Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-pro...
Gespeichert in:
Weitere beteiligte Personen: | |
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Format: | Elektronisch Video |
Sprache: | Englisch |
Veröffentlicht: |
[Place of publication not identified]
Pearson
2024
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Ausgabe: | [First edition]. |
Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9780138283131/?ar |
Zusammenfassung: | Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. 4+ Hours of Video Instruction Learn the techniques and approaches to successfully pass the AWS Certified Machine Learning - Specialty Exam with hands-on exercises. Getting the AWS Certified Machine Learning - certification highlights your versatility as an ML engineer. Usually, ML engineers focus on handling data and building models, so if you know can use cloud tools, it makes you an even more valuable as an MLOps engineer. You'll be able to ingest your own data, get through the feature engineering process, train and evaluate models, and deploy them to where they will be consumed. This certification shows that you know how to do full-stack ML development. In this series of videos, author Milecia McGregor shares a mix of slides and demonstrations in AWS, along with some examples in Visual Studio with Python. It's just what you need to learn to pass the exam. It includes an overview of concepts with hands-on work using AWS tools like Kinesis and EMR. About the Instructor: Milecia McGregor is a software generalist who has worked in numerous areas of tech over the past decade. With a master's degree in mechanical and aerospace engineering, Milecia has accomplished many groundbreaking projects over the years, including Machine Learning (ML) work for human-computer interfaces on autonomous vehicles; front-end and back-end; data science; robotics; DevOps; cybersecurity; VR; and more. Milecia is also an international speaker in the tech community, with talks covering a variety of topics across multiple programming languages. Skill Level: Intermediate Learn How To: Learn effective tips and techniques for passing the AWS Certified Machine Learning - Specialty exam Identify and implement data ingestion solutions with Kinesis Evaluate ML models Deploy ML models with AWS tools Course requirement: Prerequisites: Knowledge of how to use various AWS tools to deploy ML models into different environments Knowledge of.data engineering principles and model training and evaluatio Who Should Take This Course : Job titles: ML engineer, DevOps engineer, Aspiring ML engineer About Pearson Video Training: Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video. |
Beschreibung: | Online resource; title from title details screen (O'Reilly, viewed April 23, 2024) |
Umfang: | 1 Online-Ressource (1 video file (4 hr., 28 min.)) sound, color. |
ISBN: | 9780138283131 0138283133 |
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520 | |a Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. 4+ Hours of Video Instruction Learn the techniques and approaches to successfully pass the AWS Certified Machine Learning - Specialty Exam with hands-on exercises. Getting the AWS Certified Machine Learning - certification highlights your versatility as an ML engineer. Usually, ML engineers focus on handling data and building models, so if you know can use cloud tools, it makes you an even more valuable as an MLOps engineer. You'll be able to ingest your own data, get through the feature engineering process, train and evaluate models, and deploy them to where they will be consumed. This certification shows that you know how to do full-stack ML development. In this series of videos, author Milecia McGregor shares a mix of slides and demonstrations in AWS, along with some examples in Visual Studio with Python. It's just what you need to learn to pass the exam. It includes an overview of concepts with hands-on work using AWS tools like Kinesis and EMR. About the Instructor: Milecia McGregor is a software generalist who has worked in numerous areas of tech over the past decade. With a master's degree in mechanical and aerospace engineering, Milecia has accomplished many groundbreaking projects over the years, including Machine Learning (ML) work for human-computer interfaces on autonomous vehicles; front-end and back-end; data science; robotics; DevOps; cybersecurity; VR; and more. Milecia is also an international speaker in the tech community, with talks covering a variety of topics across multiple programming languages. Skill Level: Intermediate Learn How To: Learn effective tips and techniques for passing the AWS Certified Machine Learning - Specialty exam Identify and implement data ingestion solutions with Kinesis Evaluate ML models Deploy ML models with AWS tools Course requirement: Prerequisites: Knowledge of how to use various AWS tools to deploy ML models into different environments Knowledge of.data engineering principles and model training and evaluatio Who Should Take This Course : Job titles: ML engineer, DevOps engineer, Aspiring ML engineer About Pearson Video Training: Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video. | ||
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In this series of videos, author Milecia McGregor shares a mix of slides and demonstrations in AWS, along with some examples in Visual Studio with Python. It's just what you need to learn to pass the exam. It includes an overview of concepts with hands-on work using AWS tools like Kinesis and EMR. About the Instructor: Milecia McGregor is a software generalist who has worked in numerous areas of tech over the past decade. With a master's degree in mechanical and aerospace engineering, Milecia has accomplished many groundbreaking projects over the years, including Machine Learning (ML) work for human-computer interfaces on autonomous vehicles; front-end and back-end; data science; robotics; DevOps; cybersecurity; VR; and more. Milecia is also an international speaker in the tech community, with talks covering a variety of topics across multiple programming languages. Skill Level: Intermediate Learn How To: Learn effective tips and techniques for passing the AWS Certified Machine Learning - Specialty exam Identify and implement data ingestion solutions with Kinesis Evaluate ML models Deploy ML models with AWS tools Course requirement: Prerequisites: Knowledge of how to use various AWS tools to deploy ML models into different environments Knowledge of.data engineering principles and model training and evaluatio Who Should Take This Course : Job titles: ML engineer, DevOps engineer, Aspiring ML engineer About Pearson Video Training: Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. 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spelling | AWS Certified Machine Learning - Specialty [First edition]. [Place of publication not identified] Pearson 2024 1 Online-Ressource (1 video file (4 hr., 28 min.)) sound, color. zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title details screen (O'Reilly, viewed April 23, 2024) Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. 4+ Hours of Video Instruction Learn the techniques and approaches to successfully pass the AWS Certified Machine Learning - Specialty Exam with hands-on exercises. Getting the AWS Certified Machine Learning - certification highlights your versatility as an ML engineer. Usually, ML engineers focus on handling data and building models, so if you know can use cloud tools, it makes you an even more valuable as an MLOps engineer. You'll be able to ingest your own data, get through the feature engineering process, train and evaluate models, and deploy them to where they will be consumed. This certification shows that you know how to do full-stack ML development. In this series of videos, author Milecia McGregor shares a mix of slides and demonstrations in AWS, along with some examples in Visual Studio with Python. It's just what you need to learn to pass the exam. It includes an overview of concepts with hands-on work using AWS tools like Kinesis and EMR. About the Instructor: Milecia McGregor is a software generalist who has worked in numerous areas of tech over the past decade. With a master's degree in mechanical and aerospace engineering, Milecia has accomplished many groundbreaking projects over the years, including Machine Learning (ML) work for human-computer interfaces on autonomous vehicles; front-end and back-end; data science; robotics; DevOps; cybersecurity; VR; and more. Milecia is also an international speaker in the tech community, with talks covering a variety of topics across multiple programming languages. Skill Level: Intermediate Learn How To: Learn effective tips and techniques for passing the AWS Certified Machine Learning - Specialty exam Identify and implement data ingestion solutions with Kinesis Evaluate ML models Deploy ML models with AWS tools Course requirement: Prerequisites: Knowledge of how to use various AWS tools to deploy ML models into different environments Knowledge of.data engineering principles and model training and evaluatio Who Should Take This Course : Job titles: ML engineer, DevOps engineer, Aspiring ML engineer About Pearson Video Training: Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video. Amazon Web Services (Firm) Study guides Examinations Machine learning Study guides Examinations Cloud computing Study guides Examinations Artificial intelligence Study guides Examinations Apprentissage automatique ; Examens ; Guides de l'étudiant Intelligence artificielle ; Examens ; Guides de l'étudiant Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet McGregor, Mileci/a MitwirkendeR ctb Pearson (Firm), Verlag pbl |
spellingShingle | AWS Certified Machine Learning - Specialty Amazon Web Services (Firm) Study guides Examinations Machine learning Study guides Examinations Cloud computing Study guides Examinations Artificial intelligence Study guides Examinations Apprentissage automatique ; Examens ; Guides de l'étudiant Intelligence artificielle ; Examens ; Guides de l'étudiant Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
title | AWS Certified Machine Learning - Specialty |
title_auth | AWS Certified Machine Learning - Specialty |
title_exact_search | AWS Certified Machine Learning - Specialty |
title_full | AWS Certified Machine Learning - Specialty |
title_fullStr | AWS Certified Machine Learning - Specialty |
title_full_unstemmed | AWS Certified Machine Learning - Specialty |
title_short | AWS Certified Machine Learning - Specialty |
title_sort | aws certified machine learning specialty |
topic | Amazon Web Services (Firm) Study guides Examinations Machine learning Study guides Examinations Cloud computing Study guides Examinations Artificial intelligence Study guides Examinations Apprentissage automatique ; Examens ; Guides de l'étudiant Intelligence artificielle ; Examens ; Guides de l'étudiant Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
topic_facet | Amazon Web Services (Firm) Study guides Examinations Machine learning Study guides Examinations Cloud computing Study guides Examinations Artificial intelligence Study guides Examinations Apprentissage automatique ; Examens ; Guides de l'étudiant Intelligence artificielle ; Examens ; Guides de l'étudiant Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
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