AWS-DDMLBE AWS Discovery Day - Machine Learning Basics

Übersicht

Are you interested in machine learning, but not sure where to start? Join us for this session to learn the basic concepts and demystify the basics.

Lernziele

  • 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?

Zielgruppe

This workshop is intended for:

  • Developers
  • Solution architects
  • Data engineers
  • Individuals, interested in building solutions with machine learning - no machine learning experience required!

Inhalte

  • 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:
  • Module 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
  • Module 2: What is deep learning?
    • How does deep learning work?
    • How deep learning is different
  • Module 3: The Machine Learning Pipeline
    • Business problem
    • Data collection and integration
    • Data processing and visualization
    • Feature engineering
    • Model training and tuning
    • Model evaluation
    • Model deployment
  • Module 4: What are my next steps?
    • Resources to continue learning

Termine

Bitte fragen Sie uns nach Terminen und Preisen.
Ansprechpartner Training
Ivana Damnjancuk
+41 44 842 77 11
ch-info@claranet.com