Apr 19 2024 Pearson - AWS Certified Machine Learning - Specialty BaDshaH LEARNING / e-learning - Tutorials 13:46 0 Released 4/2024MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English | Duration: 4h 27m | Size: 623 MBLearn 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 InstructorMilecia 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 LevelIntermediateLearn How ToLearn effective tips and techniques for passing the AWS Certified Machine Learning - Specialty examIdentify and implement data ingestion solutions with KinesisEvaluate ML modelsDeploy ML models with AWS toolsCourse requirementPrerequisites: Knowledge of how to use various AWS tools to deploy ML models into different environmentsKnowledge of.data engineering principles and model training and evaluatioWho Should Take This CourseJob titles: ML engineer, DevOps engineer, Aspiring ML engineerhttps://rapidgator.net/file/704cabe2701105ed30c5212934cb2973https://nitroflare.com/view/35C4A01971CE102 Related News Udemy - AWS Certified Developer Associate - AWS CertificationUdemy - Complete Machine Learning & Data Science with Python | A-ZAWS Certified Developer Associate Exam Training DVA-C02Python & Data Science with R | Python & R ProgrammingPython- Numpy & Pandas Python Programming Language Libraries Comments (0)Add comment Submit NEWEST RELEASES 02.05: R-Wipe & Clean 20.0.2455 Portable 02.05: Wondershare Repairit 5.5.7 macOS 02.05: HitPaw Video Converter 4.1.1 macOS 02.05: Topaz Photo AI 3.0.1 Full macOS 02.05: Topaz Gigapixel AI 7.1.3 macOS 02.05: Dassault Systemes DraftSight Enterprise Plus 2024 SP2 (x64) 02.05: Topaz Photo AI 3.0.1 macOS 02.05: Disk Drill Enterprise 5.5.1517 macOS 02.05: Icecream Ebook Reader Pro 6.49 Multilingual Portable 02.05: Icecream Photo Editor Pro 1.50 Multilingual Portable Recommended Filehosts Freinds Site