# Author Archives: lhmay

# Customer Engagement Dashboard

- Posted by lhmay
- on May, 15, 2018
- in Product Development
- Blog No Comments.

# Sanity Check of Experiments & Propensity Score Matching

- Posted by lhmay
- on May, 05, 2018
- in Data Science
- Blog No Comments.

Here’s a few questions to ask yourself to decide whether you should run an A/B test: Do I have an important question? Will answering this question make an impact worth the effort of running a test? What else could I be doing with my energy? Running experiments and being creative and visionary are two completely different brain […]

Read More# ANOVA, ANCOVA, MANOVA, & MANCOVA

- Posted by lhmay
- on May, 01, 2018
- in Data Science
- Blog No Comments.

Comparison Chart BASIS FOR COMPARISON ANOVA ANCOVA Meaning ANOVA is a process of examining the difference among the means of multiple groups of data for homogeneity. ANCOVA is a technique that remove the impact of one or more metric-scaled undesirable variable from dependent variable before undertaking research. Uses Both linear and non-linear model are used. […]

Read More# Data Visualization – How to Pick the Right Chart Type?

- Posted by lhmay
- on May, 01, 2018
- in Data Science
- Blog No Comments.

There are four basic presentation types that you can use to present your data: Comparison Composition Distribution Relationship you are most likely using only the two, most commonly used types of data analysis: Comparison or Composition. choosing-a-good-chart To determine which chart is best suited for each of those presentation types, first you must answer a few […]

Read More# Python Code for TTEST and ANOVA

- Posted by lhmay
- on May, 01, 2018
- in Data Science
- Blog No Comments.

TTEST What is t-score? The t score is a ratio between the difference between two groups and the difference within the groups. Types of t-tests? There are three main types of t-test: 1. An Independent Samples t-test compares the means for two groups. 2. A Paired sample t-test compares means from the same group at different times (say, one year apart). 3. A One sample t-test tests the mean of […]

Read More# Variance Reduction Techniques to Improve Power of the Test

- Posted by lhmay
- on Apr, 30, 2018
- in Data Science
- Blog No Comments.

Improving the Power of our experiment¶ Now that we understand the system we are dealing with, we can ask the question: how can we increase the detectable effect size of our experiments? We are left with a few options: Increase the effect size Increase the sample size Decrease the variance Increasing the effect size may […]

Read More# Central Limit Theorem, Violations & Remedy

- Posted by lhmay
- on Apr, 30, 2018
- in Data Science
- Blog No Comments.

Normal Distribution About 68% of values drawn from a normal distribution are within one standard deviation σ away from the mean; about 95% of the values lie within two standard deviations; and about 99.7% are within three standard deviations. This fact is known as the 68-95-99.7 (empirical) rule, or the 3-sigma rule. What is Central Limit Theorem (CLT)? In […]

Read More# TPG, Carlyle Consortium Acquires Baidu Financial Services Group For $1.9B

- Posted by lhmay
- on Apr, 30, 2018
- in Fintech
- Blog No Comments.

Chinese internet giant Baidu Inc. has sold a majority stake in its Financial Services Group (Baidu FSG) for US$1.9 billion to an investor group led by TPG and The Carlyle Group, with participation from Taikang Group, ABC International Holdings and others. China Money Network first reported that Baidu was planning to “dispose of a majority equity stake” in FSG on Friday. TPG […]

Read More# Multi-Armed Bandits and Contextual-Bandit

- Posted by lhmay
- on Apr, 29, 2018
- in Data Science
- Blog No Comments.

Multi-armed bandit uses machine learning algorithms to minimize opportunity costs and minimize regret. They’re more efficient because they move traffic towards winning variations gradually, instead of forcing you to wait for a “final answer” at the end of an experiment. They’re faster because samples that would have gone to obviously inferior variations can be assigned to […]

Read More# Multivariate Tests (Orthogonal Design)

- Posted by lhmay
- on Apr, 29, 2018
- in Data Science
- Blog No Comments.

Because resources are limited, it is very important to get the most information from each experiment you do. Well-designed experiments can produce significantly more information and often require fewer runs than haphazard or unplanned experiments. Also, a well-designed experiment will ensure that you can evaluate the effects that you have identified as important. As a […]

Read More