Udemy – Bayesian Machine Learning in Python: A/B Testing 2021-1

Description

Bayesian Machine Learning in Python: A / B Testing, is the name of a set of video tutorials in the field of data science development. This training course is specifically dedicated to A / B testing. A course that helps you do the best you can by analyzing data, marketing and online advertising and the like. By learning the concepts of the A / B test, you will actually prepare yourself for comparing elements in a project. At the end of this course you can present your choices and statistics to others in your work.

There is no additional discussion in this course. In fact, as a student of this course you will be constantly learning practical concepts and you will never go astray throughout this course. During this course, you will become familiar with the various algorithms in the A / B test. On the other hand, you will be well trained in the use of all these algorithms. Eventually, by watching this course, you will move towards doing the A / B test professionally with the help of Machine Learning from the ground up.

Features of the Bayesian Machine Learning course in Python: A / B Testing

Understand and understand the reason for using A / B test

Familiarity with the types and varieties of A / B test algorithms

Understand the types of differences between machine learning data

Familiarity with the Bayesian method and its use in performing tests

Course details:

Duration: 10 hours and 15 minutes

English language

Number of chapters: 11

Number of lessons: 78

Instructor: Lazy Programmer Inc.

Prerequisites for Bayesian Machine Learning in Python: A / B Testing

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

Python coding with the Numpy stack

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

Changes:

Version 2021/1 has increased by 2 lessons and about 50 minutes compared to 2020/8.