No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Course Introduction

No-Code Machine Learning Using Amazon AWS SageMaker Canvas - Course Introduction

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

This video tutorial introduces a course on machine learning using AWS SageMaker Canvas, led by Rints Partney. The course is designed for those who want to learn machine learning without coding. It highlights the benefits of using SageMaker Canvas, such as generating predictions without writing code and its various applications like customer churn prediction and price optimization. The course includes projects on bank note authentication, SMS spam detection, and more. Basic awareness of machine learning is required, but no coding or modeling expertise is needed. The course aims to make machine learning accessible to a broader audience.

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5 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key benefit of using AWS SageMaker Canvas for machine learning?

It requires extensive coding knowledge.

It is only for data scientists.

It is a hardware tool.

It allows predictions without writing code.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an application of SageMaker Canvas?

Creating video games

Predicting customer churn

Building mobile apps

Designing websites

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one of the projects included in the course?

Bank note authentication

Social media analysis

Stock market prediction

Weather forecasting

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is required to join the course?

A background in data science

A degree in computer science

Advanced coding skills

Basic awareness of machine learning

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is NOT needed to use AWS SageMaker Canvas?

An AWS account

Coding background

Modeling expertise

Basic awareness of machine learning

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