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## Bayesian Machine Learning in Python: A/B Testing

In partnership With
Udemy
4.6
(5,018)

Topic:

Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More

What you'll learn:

• Use adaptive algorithms to improve A/B testing performance

• Understand the difference between Bayesian and frequentist statistics

• Apply Bayesian methods to A/B testing

Requirements:

• Probability (joint, marginal, conditional distributions, continuous and discrete random variables, PDF, PMF, CDF)

• Python coding with the Numpy stack

Description:

This course is all about A/B testing.

A/B testing is used everywhere. Marketing, retail, newsfeeds, online advertising, and more.

A/B testing is all about comparing things.

If you’re a data scientist, and you want to tell the rest of the company, “logo A is better than logo B”, well you can’t just say that without proving it using numbers and statistics.

Traditional A/B testing has been around for a long time, and it’s full of approximations and confusing definitions.

In this course, while we will do traditional A/B testing in order to appreciate its complexity, what we will eventually get to is the Bayesian machine learning way of doing things.

You’ll learn about the epsilon-greedy algorithm, which you may have heard about in the context of reinforcement learning.

We’ll improve upon the epsilon-greedy algorithm with a similar algorithm called UCB1.

Finally, we’ll improve on both of those by using a fully Bayesian approach.

Why is the Bayesian method interesting to us in machine learning?

It’s an entirely different way of thinking about probability.

You’ll probably need to come back to this course several times before it fully sinks in.

It’s also powerful, and many machine learning experts often make statements about how they “subscribe to the Bayesian school of thought”.

In sum - it’s going to give us a lot of powerful new tools that we can use in machine learning.

The things you’ll learn in this course are not only applicable to A/B testing, but rather, we’re using A/B testing as a concrete example of how Bayesian techniques can be applied.

You’ll learn these fundamental tools of the Bayesian method - through the example of A/B testing - and then you’ll be able to carry those Bayesian techniques to more advanced machine learning models in the future.

See you in class!

"If you can't implement it, you don't understand it"

• Or as the great physicist Richard Feynman said: "What I cannot create, I do not understand".

• My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratch

• Other courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code?

• After doing the same thing with 10 datasets, you realize you didn't learn 10 things. You learned 1 thing, and just repeated the same 3 lines of code 10 times...

Suggested Prerequisites:

• Probability (joint, marginal, conditional distributions, continuous and discrete random variables, PDF, PMF, CDF)

• Python coding: if/else, loops, lists, dicts, sets

• Numpy, Scipy, Matplotlib

WHAT ORDER SHOULD I TAKE YOUR COURSES IN?:

• Check out the lecture "Machine Learning and AI Prerequisite Roadmap" (available in the FAQ of any of my courses, including the free Numpy course)

Who this course is for:

• Students and professionals with a technical background who want to learn Bayesian machine learning techniques to apply to their data science work

Course
Careers

Certifications

## Certifications related to A/B Testing

General Assembly’s User Experience Design Immersive is a transformative course designed for you to get the necessary skills for a UX Design role in three months.

The User Experience Design bootcamp is led by instructors who are expert practitioners in their field, supported by career coaches that work with you since day one and enhanced by a career services team that is constantly in talks with employers about their UX Design hiring needs.

What you'll accomplish

As a graduate, you’ll have a portfolio of projects that show your creative and technical ability to launch the next generation of successful apps, websites and digital experiences. Throughout this program, you will:

• Identify and implement the most effective methods of user research to gain a deeper understanding of what users want and need.

• Use interaction and visual design techniques to craft a dynamic digital product that brings delight and function to users.

• Conduct usability testing to make product experiences more accessible for diverse user populations and environments.

• Learn best practices for working within a product team, employing product management techniques and evaluating technical constraints to better collaborate with developers.

• Produce polished design documentation, including wireframes and prototypes, to articulate design decisions to clients and stakeholders.

• Prepare for the world of work, compiling a professional-grade portfolio of solo, group, and client projects.

Prerequisites

This is a beginner-friendly program with no prerequisites, although many students are familiar with common tools for graphic and web designers and some may have had exposure to UX concepts in the past. The General Assembly curriculum helps you gain fluency in end-to-end UX processes, tools, and documentation and put them to work on the path to a new career as a User Experience Designer.

Why General Assembly

Since 2011, General Assembly has graduated more than 40,000 students worldwide from the full time & part time courses. During the 2020 hiring shutdown, GA's students, instructors, and career coaches never lost focus, and the KPMG-validated numbers in their Outcomes report reflect it. *For students who graduated in 2020 — the peak of the pandemic — 74.4% of those who participated in GA's full-time Career Services program landed jobs within six months of graduation.  General Assembly is proud of their grads + teams' relentless dedication and to see those numbers rising. Download the report here.

Your next step? Submit an application to talk to the General Assembly Admissions team

Note: reviews are referenced from Career Karma - https://careerkarma.com/schools/general-assembly

Udacity
Beginner
3 months
10 hours

During the Growth Product Manager Nanodegree program, you will learn everything a growth PM needs to thrive, from designing strategic growth plans to analyzing pricing metrics. You will also learn how to assess a business, create a growth loop, measure success, design experiments to increase growth, and monetize a company continually.

Udacity
Beginner
3 months
10 hours

Learn to apply predictive analytics and business intelligence to solve real-world business problems.

Udacity
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