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Informationen zum Autor ABOUT THE AUTHOR DARIO CABIANCA is the AWS Practice Director at Trace3-a leading IT consultancy and AWS Advanced Consulting Partner-offering AI, data, cloud and cybersecurity solutions. He is the author of Google Cloud Platform (GCP) Professional Cloud Security Engineer Certification Companion and Google Cloud Platform (GCP) Professional Cloud Network Engineer Certification Companion. Dario has collaborated with leading global consulting firms and enterprises for over 20 years, delivering impactful solutions in enterprise architecture, cloud computing, cybersecurity, and artificial intelligence. Klappentext Prepare for the AWS Machine Learning Engineer certification exam quickly and efficiently The AWS® Certified Machine Learning Engineer Study Guide is a comprehensive resource for complete coverage of the challenging MLA-C01 exam. This Sybex Study Guide covers all of the MLA-C01 objectives. Prepare for the exam smarter and faster with Sybex thanks to up-to-date and accurate content, including an assessment test that validates and measures exam readiness, an objective map, real-world examples and scenarios, practical exercises, and challenging chapter review questions. Reinforce and remember what you've learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get prepared for the AWS Certified Machine Learning exam with Sybex. Coverage of 100% of all exam objectives in this Study Guide means you'll be ready for: Data and Feature EngineeringData ScienceModel Development and RefinementModel Deployment and OrchestrationMachine Learning OperationsAWS AI SolutionsDevOps Engineering ABOUT THE AWS MACHINE LEARNING ENGINEER - ASSOCIATE CERTIFICATION The AWS Machine Learning Engineer - Associate certification demonstrates your ability to implement AI and ML solutions in the Amazon Web Services cloud. It tests and verifies your expertise in designing, building, training, tuning, and deploying machine learning models on AWS. Interactive learning environment Take your exam prep to the next level with Sybex's superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/ go/sybextestprep , register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to: Interactive test bank with a practice exam to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you're ready to take the certification exam. 100 electronic flashcards to reinforce learning and last-minute prep before the exam Comprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared Inhaltsverzeichnis Contents Chapter 1Introduction to Machine Learning1 Understanding Artificial Intelligence2 Data, Information, Knowledge3 Data3 Information4 Knowledge5 Understanding Machine Learning6 ML Lifecycle6 Define ML Problem6 Collect Data8 Process Data8 Choose Algorithm8 Train Model9 Evaluate Model9 Deploy Model9 Derive Inference11 Monitor Model11 ML Concepts11 Features11 Target Variable12 Optimization Problem12 Objective Function13 ML Algorithms vs. ML Models13 Differences Between ML and AI14 Understanding Deep Learning16 Introduction to Neural Networks16 Structure of a Neural Network16 Neuron16 Input Layer18 Hidden Layers18 Output Layer18 How Neural Networks Work18 Neural Networks Types19 Artificial Neural Networks20 Deep Neural Networks20 Convolutional Neural Networks20 Recurrent Neural Networks20 Differences Between DL and ML21 Case Studies21 Case Study...
