AI Fundamentals

Java SE 8
  • 10 Videos | 1h 8m 1s
  • Includes Assessment
  • Earns a Badge
Likes 30 Likes 30
Discover the fundamental concepts of the technologies driving artificial Intelligence (AI).

WHAT YOU WILL LEARN

  • identify the primary goals of machine learning, artificial Intelligence, deep learning, and reinforcement learning
    recognize the essential features of artificial intelligence and differentiate it with non-AI applications
    set up the Java development environment for artificial intelligence
    demonstrate the use of machine learning algorithms in Java
    specify the various implementations scenarios of AI
  • identify the essential features and capabilities afforded by Deeplearning4j
    demonstrate how to configure neural networks using DL4J
    identify the primary domains where artificial intelligence is predominantly implemented
    describe the concept of predictive modeling along with various relatable algorithms
    create a Maven project, configure a Weka library, and create a dataset for Weka

IN THIS COURSE

  • Playable
    1. 
    Machine Learning and Artificial Intelligence Goals
    3m 50s
    UP NEXT
  • Playable
    2. 
    Essential Features of Artificial Intelligence
    3m 21s
  • Locked
    3. 
    Development Environment for Artificial Intelligence
    7m 20s
  • Locked
    4. 
    Machine Learning with Java
    9m 38s
  • Locked
    5. 
    Artificial Intelligence Implementation Scenarios
    5m 11s
  • Locked
    6. 
    Deeplearning4J Introduction
    6m 50s
  • Locked
    7. 
    Configure Neural Network Using DL4J
    14m 2s
  • Locked
    8. 
    Domain Specific Implementation of AI
    4m 45s
  • Locked
    9. 
    Predictive Modeling
    3m 57s
  • Locked
    10. 
    Exercise: Working with ML Libraries
    4m 39s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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