{"product_id":"aws-certified-machine-learning-engineer-associate-mla-c01-study-guide-ebook","title":"AWS Certified Machine Learning Engineer Associate (MLA-C01 \/ MLS-C01) Exam Guide [eBook]","description":"\u003ch1\u003e\u003cstrong\u003ePass the AWS Certified Machine Learning Specialty Exam with Flying Colors\u003c\/strong\u003e\u003c\/h1\u003e\n\u003cp\u003e\u003cbr\u003eMaster Data Engineering, Exploratory Data Analysis, Modeling, Machine Learning Implementation, Operations, and NLP with 3 Practice Exams. Get the MLS-C01 Practice Exam book Now!\u003cbr\u003e\u003c\/p\u003e\n\u003ch1\u003e\u003cspan style=\"font-weight: 400;\"\u003e2024 AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams\u003c\/span\u003e\u003c\/h1\u003e\n\u003cp\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cspan style=\"font-weight: 400;\"\u003eThis book is designed to help you prepare for the AWS Certified Machine Learning - Specialty (MLS-C01) exam and earn your AWS certification. The AWS Certified Machine Learning - Specialty (MLS-C01) exam is designed for individuals who have a strong understanding of machine learning concepts and techniques, and who can design, build, and deploy machine learning models on the AWS platform.\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cspan style=\"font-weight: 400;\"\u003eIn this book, you will find a series of practice exams that are designed to mimic the format and content of the actual MLS-C01 exam. Each practice exam includes a set of multiple choice and multiple response questions that cover a range of topics, including machine learning concepts, techniques, and algorithms, as well as the AWS services and tools used to build and deploy machine learning models.\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cspan style=\"font-weight: 400;\"\u003eBy working through these practice exams, you can test your knowledge, identify areas where you need further study, and gain confidence in your ability to pass the MLS-C01 exam. Whether you are a machine learning professional looking to earn your AWS certification or a student preparing for a career in machine learning, this book is an essential resource for your exam preparation.\u003c\/span\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003eAWS has created the Certified Machine Learning Specialty (MLS-C01) to \u003cspan class=\"a-text-bold\"\u003eassess your ability to identify and solve business problems through machine learning\u003c\/span\u003e. Passing this exam validates that you have the skills to design, develop, and deploy machine learning models. The AWS Certified Machine Learning Specialty (MLS-C01) Practice Exams will help you prepare for the exam by providing an in-depth review of the exam's content, and by giving you the opportunity to practice your skills.\u003cbr\u003e\u003cbr\u003eThe Book covers Machine Learning Basics and Advanced Concepts via Q\u0026amp;A, Natural Language Processing Quiz, and SageMaker. The Machine Learning Basics and Advanced Concepts section includes questions on topics such as linear regression, decision trees, boosting, Bayesian inference, and deep learning. The Natural Language Processing Quiz covers questions on topics such as part-of-speech tagging, sentiment analysis, and named entity recognition. The SageMaker section includes questions on how to use SageMaker for data pre-processing, model training and tuning, deploying models into a production environment, and troubleshooting.\u003cbr\u003e\u003cbr\u003eIn addition to the main sections of the practice exams, there is also a section on Exploratory Data Analysis Quiz covering questions on topics such as data visualization, dimensionality reduction techniques, clustering algorithms, and time series analysis. The Modeling Quiz section includes questions on supervised learning algorithms (linear regression, logistic regression,...), unsupervised learning algorithms (k-means clustering,...), reinforcement learning algorithms (Q-learning,...), and dropout methods. Finally, the Machine Learning Implementation and Operations Quiz covers practical questions on topics such as setting up a development environment for machine learning applications, parameter tuning techniques, monitoring machine learning models in production, and handling errors in machine learning applications.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Djamgatech","offers":[{"title":"Default Title","offer_id":45928664203567,"sku":"Djamgatech_AWS_MLSC01-2","price":19.99,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0799\/3717\/5855\/files\/cover_aws_mla_c01_2400x3600_c92da657-ca6a-4b6c-8842-98c08e5072bd.jpg?v=1792273513","url":"https:\/\/djamgatech.myshopify.com\/products\/aws-certified-machine-learning-engineer-associate-mla-c01-study-guide-ebook","provider":"Djamgatech","version":"1.0","type":"link"}