A/B Testing, Bayesian Networks, & Support Vector Machine

Predictive Analytics    |    Intermediate
  • 11 videos | 41m 47s
  • Includes Assessment
  • Earns a Badge
Rating 4.5 of 6 users Rating 4.5 of 6 users (6)
At the core of predictive analytics lie the models used to make predictions after the data has been collected and preprocessed. Explore predictive techniques, including A/B testing, Bayesian Networks, and the support vector machine (SVM).

WHAT YOU WILL LEARN

  • Recognize what a/b testing is and where it is applicable
    Establish an a/b test hypothesis and determine what to test
    Implement a/b testing for web site optimization
    Recognize key features of naïve bayes
    Calculate the probability of an event occurring with naïve bayes
    Identify various limitations of naïve bayes
  • Recognize features of bayesian belief networks
    Identify features of support vector machines
    Recognize how to transform linear non-separable data to linear separable data
    Determine the optimal hyperplane
    Predict outcomes using a/b testing

IN THIS COURSE

  • 4m 17s
    After completing this video, you will be able to recognize what A/B testing is and where it can be used. FREE ACCESS
  • 4m 57s
    In this video, you will learn how to establish an A/B test hypothesis and determine what to test. FREE ACCESS
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    3.  Implementing A/B Testing
    3m 17s
    Learn how to implement A/B testing for website optimization. FREE ACCESS
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    4.  Naïve Bayes Overview
    3m 32s
    Upon completion of this video, you will be able to recognize key features of Naive Bayes. FREE ACCESS
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    5.  Predicting Outcomes with Naïve Bayes
    4m 54s
    In this video, find out how to calculate the probability of an event occurring with Naive Bayes. FREE ACCESS
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    6.  Limitations of Naïve Bayes
    4m 19s
    In this video, find out how to identify various limitations of Naive Bayes. FREE ACCESS
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    7.  Bayesian Belief Networks
    3m 15s
    Upon completion of this video, you will be able to recognize features of Bayesian Belief Networks. FREE ACCESS
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    8.  Support Vector Machines Overview
    3m 54s
    In this video, learn how to identify features of Support Vector Machines. FREE ACCESS
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    9.  Data Transformation Techniques
    3m 4s
    After completing this video, you will be able to recognize how to transform linear non-separable data into linear separable data. FREE ACCESS
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    10.  Determining the Optimal Hyperplane
    3m 2s
    In this video, learn how to determine the optimal hyperplane. FREE ACCESS
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    11.  Exercise: Use A/B Testing
    3m 17s
    During this video, you will learn how to predict outcomes using A/B testing. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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