Скачать или смотреть AWS Machine Learning Full Course 🚩 Introduction to Amazon Machine Learning Tutorial For Beginners⚡️

ABOUT THIS COURSE AMAZON ML

This course teaches you how to create a model using Amazon Machine Learning (Amazon ML) and utilize it for predictions. You will learn about the fundamental types of machine learning, the process of preparing data, and how to make it available for Amazon Machine Learning. Additionally, you will gain knowledge on evaluating model accuracy, making both real-time and batch predictions, and using tags to manage environments. This course is designed for developers, technical marketers, and data scientists who are new to machine learning or interested in using the AWS Amazon ML platform. By working with real data, you will gain hands-on experience building a predictive model. Prior to starting the course, learners should have an AWS account (free from Amazon) and a basic understanding of AWS concepts. You will understand how to prepare data for Amazon ML, navigate the console, and make real-time and batch predictions using Python. Moreover, you will familiarize yourself with advanced machine learning system management practices, such as tagging and the model life cycle. Lastly, you will develop the ability to assess model accuracy using tools for evaluation and comparison.

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Timestamp

Introduction
0:00:00 Welcome To The Course

Basics
0:04:06 What Is Machine Learning?
0:10:00 What Is Amazon Machine Learning?
0:16:48 Amazon Machine Learning Concepts: Data
0:20:14 Amazon Machine Learning Concepts: Console
0:26:40 Amazon Machine Learning And IAM

Loading Your Data
0:30:20 Types Of Data Sources
0:32:47 Loading Your Data
0:38:04 Data Nuts And Bolts
0:45:11 Data Considerations**

How To Build Your Model
0:48:13 Initial Model Build
0:52:37 More About Your Model: Recipes
0:56:24 Amazon ML
0:56:32 More About Your Model: Evaluations

How To Use Your Model
1:02:37 Batch Or Real-Time?
1:07:43 More On Batch Predictions
1:14:43 More On Real-Time Predictions**

Managing Your Model With The API
1:18:17 Why Manage Your Models Using The API?
1:21:00 Managing Via API
1:26:46 Creating Models Via The API
1:31:51 Amazon Machine Learning
1:31:59 Updating Models Via The AWS Console

Use Cases And Limits
1:34:21 Other Use Cases
1:36:54 Limits Of Amazon Machine Learning
1:42:16 Alternatives*

Conclusion
1:45:09 Wrap Up And Thank You


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