AI Fundamentals

Java SE 8    |    Intermediate
  • 10 videos | 1h 3m 31s
  • Includes Assessment
  • Earns a Badge
Rating 4.5 of 305 users Rating 4.5 of 305 users (305)
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

  • 3m 50s
    Learn how to identify the primary goals of machine learning, artificial intelligence, deep learning, and reinforcement learning. FREE ACCESS
  • 3m 21s
    Upon completion of this video, you will be able to recognize the essential features of artificial intelligence and differentiate it from non-AI applications. FREE ACCESS
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    3.  Development Environment for Artificial Intelligence
    7m 20s
    Learn how to set up the Java development environment for artificial intelligence. FREE ACCESS
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    4.  Machine Learning with Java
    9m 38s
    In this video, you will learn how to use machine learning algorithms in Java. FREE ACCESS
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    5.  Artificial Intelligence Implementation Scenarios
    5m 11s
    After completing this video, you will be able to specify the various implementation scenarios of AI. FREE ACCESS
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    6.  Deeplearning4J Introduction
    6m 50s
    Learn how to identify the essential features and capabilities afforded by Deeplearning4j. FREE ACCESS
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    7.  Configure Neural Network Using DL4J
    14m 2s
    In this video, you will learn how to configure neural networks using DL4J. FREE ACCESS
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    8.  Domain Specific Implementation of AI
    4m 45s
    During this video, you will learn how to identify the primary domains where artificial intelligence is predominantly used. FREE ACCESS
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    9.  Predictive Modeling
    3m 57s
    After completing this video, you will be able to describe the concept of predictive modeling along with various algorithms that are relatable. FREE ACCESS
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    10.  Exercise: Working with ML Libraries
    4m 39s
    In this video, you will create a Maven project, configure a Weka library, and create a dataset for Weka. FREE ACCESS

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