A/B Testing, Bayesian Networks, & Support Vector Machine
Predictive Analytics
11 Videos | 46m 47s - Includes Assessment
- Earns a Badge
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
-
1.Overview of A/B Testing4m 17sUP NEXT
-
2.A/B Testing Features4m 57s
-
3.Implementing A/B Testing3m 17s
-
4.Naïve Bayes Overview3m 32s
-
5.Predicting Outcomes with Naïve Bayes4m 54s
-
6.Limitations of Naïve Bayes4m 19s
-
7.Bayesian Belief Networks3m 15s
-
8.Support Vector Machines Overview3m 54s
-
9.Data Transformation Techniques3m 4s
-
10.Determining the Optimal Hyperplane3m 2s
-
11.Exercise: Use A/B Testing3m 17s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform
Digital badges are yours to keep, forever.
