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Machine Learning Basics Webinar

Price
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1.5 Hours
AWS-1020
Webinar
Amazon Web Services

AWS Training Pass

Take advantage of flexible training options with the AWS Training Pass and get Authorized AWS Training for a full year.

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Prices reflect a 22.5% discount for IBM employees (wherever applicable).
Prices reflect a 24% discount for Kyndryl employees (wherever applicable).
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Course Description

Overview

Are you interested in machine learning, but not sure where to start? Join us for this session with an AWS expert and demystify the basics. Using real-world examples, you’ll learn about important concepts, terminology, and the phases of a machine learning pipeline. Learn how you can unlock new insights and value for your business using machine learning.

We recommend that attendees of this event continue learning with these:
  • Courses
    • Deep Learning on AWS
    • MLOps Engineering on AWS
    • Practical Data Science with Amazon SageMaker
    • The Machine Learning Pipeline on AWS


 

Objectives

During this event, students will learn:
  • What is Machine Learning?
  • What is the machine learning pipeline, and what are its phases?
  • What is the difference between supervised and unsupervised learning?
  • What is reinforcement learning?
  • What is deep learning?

Audience

This event is intended for:
  • Developers
  • Solution architects
  • Data engineers
  • Individuals interested in building solutions with machine learning - no machine learning experience required!

Prerequisites


     

Topics

Section 1: Machine learning basics
  • Classical programming vs. machine learning approach
  • What is a model?
  • Algorithm features, weights, and outputs
  • Machine learning algorithm categories
  • Supervised algorithms
  • Unsupervised algorithms
  • Reinforcement learning
Section 2: What is deep learning?
  • How does deep learning work?
  • How deep learning is different
Section 3: The Machine Learning Pipeline
  • Overview
  • Business problem
  • Data collection and integration
  • Data processing and visualization
  • Feature engineering
  • Model training and tuning
  • Model evaluation
  • Model deployment
Section 4: What are my next steps?
  • Resources to continue learning
  • Advanced Developing on AWS

    AWS-141
    • Duration: 3 Days
    • Delivery Format: Classroom Training, Online Training
    • Price: 2,025.00 USD
  • Developing on AWS

    AWS-140
    • Duration: 3 Days
    • Delivery Format: Classroom Training, Online Training
    • Price: 2,025.00 USD
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