AI Fundamentals
Java SE 8
| Intermediate
- 10 videos | 1h 3m 31s
- Includes Assessment
- Earns a Badge
Discover the fundamental concepts of the technologies driving artificial Intelligence (AI).
WHAT YOU WILL LEARN
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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
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3m 50sLearn how to identify the primary goals of machine learning, artificial intelligence, deep learning, and reinforcement learning. FREE ACCESS
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3m 21sUpon 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 Intelligence7m 20sLearn how to set up the Java development environment for artificial intelligence. FREE ACCESS
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4. Machine Learning with Java9m 38sIn this video, you will learn how to use machine learning algorithms in Java. FREE ACCESS
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5. Artificial Intelligence Implementation Scenarios5m 11sAfter completing this video, you will be able to specify the various implementation scenarios of AI. FREE ACCESS
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6. Deeplearning4J Introduction6m 50sLearn how to identify the essential features and capabilities afforded by Deeplearning4j. FREE ACCESS
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7. Configure Neural Network Using DL4J14m 2sIn this video, you will learn how to configure neural networks using DL4J. FREE ACCESS
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8. Domain Specific Implementation of AI4m 45sDuring 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 Modeling3m 57sAfter 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 Libraries4m 39sIn this video, you will create a Maven project, configure a Weka library, and create a dataset for Weka. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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