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Better Software Through Measurement

Course Summary

This course will show you how to generate recommendations for your users, filter messages based on users' preferences, decide which web page performs best, keep track of timings in your application, and discover groups among items.


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    Course Syllabus

    Instrumentation: Streaming Metrics
    - 19m 8s

    —Measure Everything 3m 36s
    —DEMO: Streaming Mean and Variance 2m 36s
    —Quantiles with QDigest 5m 21s
    —DEMO: QDigest Implementation 2m 46s
    —Calculating Quantiles 1m 19s
    —DEMO: Quantile Implementation 2m 28s
    —Summary 1m 0s
    Optimizing Conversion: A/B Testing
    - 12m 11s

    —Introduction 0m 17s
    —The Basic Idea 2m 57s
    —Introducing Google Content Experiments 1m 30s
    —Demo: Defining A Goal 0m 49s
    —Demo: Setting up A Content Experiment 1m 38s
    —Waiting for Results 2m 32s
    —Demo: Estimating Sample Size 1m 13s
    —Summary 1m 13s
    Recommendations: Item-based Recommendations
    - 21m 23s
    Personalized Recommendations: Naive Bayesian Classifier
    - 22m 46s
    Finding Groups: k-means Clustering
    - 21m 58s


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

This course is listed under Development & Implementations and Quality Assurance & Testing Community

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Awards & Accolades for MyTechLogy
Winner of
REDHERRING
Top 100 Asia
Finalist at SiTF Awards 2014 under the category Best Social & Community Product
Finalist at HR Vendor of the Year 2015 Awards under the category Best Learning Management System
Finalist at HR Vendor of the Year 2015 Awards under the category Best Talent Management Software
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