AWS Certified Machine Learning Specialty

AWS Certified Machine Learning – Specialty, available at $19.99, has an average rating of 4.25, 4 quizzes, based on 2 reviews, and has 681 subscribers.

You will learn about What to expect on the AWS Certified Machine Learning Specialty exam Amazon SageMakers built-in machine learning algorithms (XGBoost, BlazingText, Object Detection, etc.) Feature engineering techniques, including imputation, outliers, binning, and normalization High-level ML services: Comprehend, Translate, Polly, Transcribe, Lex, Rekognition, and more Data engineering with S3, Glue, Kinesis, and DynamoDB Exploratory data analysis with scikit_learn, Athena, Apache Spark, and EMR Deep learning and hyperparameter tuning of deep neural networks Automatic model tuning and operations with SageMaker L1 and L2 regularization Applying security best practices to machine learning pipelines This course is ideal for individuals who are Individuals performing a development or data science role seeking certification in machine learning and AWS. or Machine learning professionals testing their readiness for the AWS Certified Machine Learning Specialty exam. or IT Professionals who are planning to take the AWS Certified Machine Learning Specialty exam or Students and professionals who want to deepen their knowledge in AWS It is particularly useful for Individuals performing a development or data science role seeking certification in machine learning and AWS. or Machine learning professionals testing their readiness for the AWS Certified Machine Learning Specialty exam. or IT Professionals who are planning to take the AWS Certified Machine Learning Specialty exam or Students and professionals who want to deepen their knowledge in AWS.

Enroll now: AWS Certified Machine Learning – Specialty

Summary

Title: AWS Certified Machine Learning – Specialty

Price: $19.99

Average Rating: 4.25

Number of Quizzes: 4

Number of Published Quizzes: 4

Number of Curriculum Items: 4

Number of Published Curriculum Objects: 4

Number of Practice Tests: 4

Number of Published Practice Tests: 4

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

What to expect on the AWS Certified Machine Learning Specialty exam

Amazon SageMakers built-in machine learning algorithms (XGBoost, BlazingText, Object Detection, etc.)

Feature engineering techniques, including imputation, outliers, binning, and normalization

High-level ML services: Comprehend, Translate, Polly, Transcribe, Lex, Rekognition, and more

Data engineering with S3, Glue, Kinesis, and DynamoDB

Exploratory data analysis with scikit_learn, Athena, Apache Spark, and EMR

Deep learning and hyperparameter tuning of deep neural networks

Automatic model tuning and operations with SageMaker

L1 and L2 regularization

Applying security best practices to machine learning pipelines

Who Should Attend

Individuals performing a development or data science role seeking certification in machine learning and AWS.

Machine learning professionals testing their readiness for the AWS Certified Machine Learning Specialty exam.

IT Professionals who are planning to take the AWS Certified Machine Learning Specialty exam

Students and professionals who want to deepen their knowledge in AWS

Target Audiences

Individuals performing a development or data science role seeking certification in machine learning and AWS.

Machine learning professionals testing their readiness for the AWS Certified Machine Learning Specialty exam.

IT Professionals who are planning to take the AWS Certified Machine Learning Specialty exam

Students and professionals who want to deepen their knowledge in AWS

AWS Certified Machine Learning – Specialty

Become an AWS Certified Machine Learning – Specialty with this comprehensive course!

The AWS Certified Machine Learning – Specialty is an advanced certification that validates your ability to design, build, deploy, and manage machine learning models on AWS. With this certification, you can demonstrate your expertise in using AWS services such as Amazon SageMaker, Amazon Rekognition, and Amazon Comprehend to solve complex business problems.

In this course, you will learn the advanced concepts and skills required to pass the AWS Certified Machine Learning – Specialty exam. You will cover machine learning algorithms, data preprocessing, model training, and model deployment. You will also receive hands-on practice with real-world machine learning scenarios.

By the end of this course, you will be able to:

Design and build machine learning models on AWS.

Preprocess and prepare data for machine learning.

Train and evaluate machine learning models.

Deploy and manage machine learning models in production.

Who should take this course:

This course is for experienced data scientists and machine learning engineers who want to advance their skills and knowledge of AWS machine learning. This includes data scientists and machine learning engineers who work with AWS on a daily basis, data scientists and machine learning engineers who want to prepare for the AWS Certified Machine Learning – Specialty exam, and data scientists and machine learning engineers who want to learn more about advanced AWS machine learning concepts.

What you will need to take this course:

A computer with internet access

A basic understanding of machine learning principles

Experience with AWS services such as Amazon SageMaker, Amazon Rekognition, and Amazon Comprehend

Here are some of the benefits of taking this course:

Learn from experienced instructors: Our instructors are all AWS Certified Machine Learning – Specialty experts with years of experience in the field.

Get hands-on practice: You will receive hands-on practice with real-world machine learning scenarios.

Prepare for the AWS Certified Machine Learning – Specialty exam: You will receive comprehensive practice questions and mock exams to help you prepare for the AWS Certified Machine Learning – Specialty exam.

Get lifetime access: Once you purchase the course, you will have lifetime access to the materials and resources.

Enroll in this course today and take your first step towards becoming an AWS Certified Machine Learning – Specialty!

The AWS Certified Machine Learning Specialty certification is for developers and data scientists who want to validate their machine learning skills on the AWS platform. Specifically, the exam tests a candidate’s ability to design, build, deploy and maintain machine learning solutions. This path covers the four key test domains: Data Engineering, Exploratory Data Analysis, Modeling, and Machine Learning Implementation and Operations. The information and resources contained in this path will be vital in preparing to take the AWS Certified Machine Learning Specialty exam.

Just like the real exam, this practice exam tests four different domains:

Data Engineering

Exploratory Data Analysis

Modeling

Machine Learning Implementation and Operations

You’ll need deep and broad knowledge of SageMaker and AWS’s other machine learning services, including Rekognition, Translate, Polly, and Comprehend. You’ll need to know how to process big data using Kinesis, S3, Glue, and Athena. And you’ll need a strong knowledge of AWS security, including use of KMS and IAM.

But AWS knowledge is not enough to pass this practice exam, or the real thing!You also need deep knowledge on data science, feature engineering and tuning your machine learning models. Do you really understand regularization techniques and how to use them? Do you really understand precision, recall, and AUC? Do you know how different deep learning models work, and how they are used? This practice exam will let you find out. Every question includes an explanation of the correct answer as well.

Course Curriculum

Instructors

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Frequently Asked Questions

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