Fundamentals of AI & ML: Advanced Data Science Methods

Artificial Intelligence    |    Intermediate
  • 9 videos | 26m 52s
  • Includes Assessment
  • Earns a Badge
Rating 4.4 of 136 users Rating 4.4 of 136 users (136)
In data science, many statistical and analytical techniques can be used to pull meaningful insights from data. Additionally, some advanced data science methods rely on other foundation data science methods, such as the case of text mining. Through this course, learn about advanced data science methods and their use cases. Explore advanced machine learning (ML) methods such as text mining and graph analysis and their uses. Next, learn about the anomaly and novelty detection processes. Finally, examine association rule mining and neural networks and their use cases across industries. After course completion, you'll be able to outline advanced methods for data science.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Identify the concept and use cases for text mining
    Outline strategies for evaluating the accuracy of text mining as well as common text mining pitfalls
    State the purpose and use cases for graph analysis
    Recognize details for anomaly detection and its use cases
  • Name the process and use cases for novelty detection
    Outline rule mining and its use cases
    Identify the concept and use cases for neural networks
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 30s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 3m 32s
    Upon completion of this video, you will be able to identify the concept and use cases for text mining. FREE ACCESS
  • Locked
    3.  Evaluate Text Mining Accuracy
    1m 59s
    After completing this video, you will be able to outline strategies for evaluating the accuracy of text mining as well as common text mining pitfalls. FREE ACCESS
  • Locked
    4.  Graph Analysis
    5m 37s
    In this video, we will state the purpose and use cases for graph analysis. FREE ACCESS
  • Locked
    5.  Anomaly Detection
    4m 27s
    Upon completion of this video, you will be able to recognize details for anomaly detection and its use cases. FREE ACCESS
  • Locked
    6.  Novelty Detection
    2m 57s
    After completing this video, you will be able to name the process and use cases for novelty detection. FREE ACCESS
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    7.  Association Rule Mining
    4m 40s
    In this video, we will outline rule mining and its use cases. FREE ACCESS
  • Locked
    8.  Neural Networks
    2m 43s
    After completing this video, you will be able to identify the concept and use cases for neural networks. FREE ACCESS
  • Locked
    9.  Course Summary
    27s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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