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

Predictive Analytics
  • 11 Videos | 46m 47s
  • Includes Assessment
  • Earns a Badge
Likes 25 Likes 25
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

  • Playable
    1. 
    Overview of A/B Testing
    4m 17s
    UP NEXT
  • Playable
    2. 
    A/B Testing Features
    4m 57s
  • Locked
    3. 
    Implementing A/B Testing
    3m 17s
  • Locked
    4. 
    Naïve Bayes Overview
    3m 32s
  • Locked
    5. 
    Predicting Outcomes with Naïve Bayes
    4m 54s
  • Locked
    6. 
    Limitations of Naïve Bayes
    4m 19s
  • Locked
    7. 
    Bayesian Belief Networks
    3m 15s
  • Locked
    8. 
    Support Vector Machines Overview
    3m 54s
  • Locked
    9. 
    Data Transformation Techniques
    3m 4s
  • Locked
    10. 
    Determining the Optimal Hyperplane
    3m 2s
  • Locked
    11. 
    Exercise: Use A/B Testing
    3m 17s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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