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Description
AWS Certified Machine Learning Specialty MLS-C01 2023, AWS Certified Machine Learning Specialty course is published by Udemy Academy. In this course, you will gain hands-on experience with AWS SageMaker through hands-on labs that demonstrate specific concepts. We’ll start by setting up the SageMaker environment. If you’re new to machine learning, you’ll learn how to check for mixed data types, missing data, and how to check model quality. These topics are essential for machine learning professionals and certification exams. SageMaker uses containers to package algorithms and frameworks such as Pytorch and TensorFlow. The container-based approach provides a standard interface for building and deploying your models.
Through a series of brief labs, you’ll train, extend, and call your first SageMaker model. Like any other software project, a machine learning solution needs continuous improvement. In the following, we will examine how to apply new changes in the production system, perform A/B testing and even apply changes if necessary. We will also discuss emerging social justice trends in machine learning and artificial intelligence systems. What will you do if your users accuse your model of racism or sexism? How will you deal with it? In this section, we will cover the concept of fairness, how the decision is made by the model, explain the different types of bias and how to measure them.
What you will learn
- You will gain first-hand experience on how to train, optimize, deploy and integrate ML in the AWS cloud.
- AWS built algorithms, ready AI capabilities
- AWS Certified Machine Learning Specialty Complete Guide (MLS-C01)
- Includes high-quality timed practice testing (many courses charge a separate fee for practice testing)
- Zero time model deployment
- How to integrate and invoke ML from your app
- Hyperparameter automatic tuning
Who is this course suitable for?
- This course is designed for anyone interested in machine learning and data science based on the AWS cloud.
- AWS Certified Machine Learning – Specialty certification preparation
Course specifications AWS Certified Machine Learning Specialty MLS-C01 2023
- Publisher: Udemy
- teacher : Chandra Lingam
- English language
- Education level: all levels
- Number of courses: 234
- Training duration: 17 hours and 36 minutes
At the beginning of the course seasons on 2023-2
Course prerequisites
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AWS Account – I will walk through steps to setup one
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Basic knowledge of Pandas, Numpy, Matplotlib
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Be an active learner and use course discussion forum if you need help – Please don’t put help needed items in course review
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
4.72 GB
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