I recently gave a talk at the Fifth Elephant 2018. The talk was an introduction to linear regression and generalized linear models from the Bayesian perspective. The slides are available here.. Go check it out.

In principle A/B testing is really simple. To do it you need to define two separate user experiences, and then randomly allocate users between them:

def final_experience(user):
    if random.choice([0,1]) == 0:
        return user_experience_A(user)
    else:
        return user_experience_B(user)

So far this seems pretty simple. But then …

Today I spoke about AI ethics at 50p 2018. Here are the slides from my talk.

The general topic was multiple ethical principles, and how it's mathematically impossible to satisfy all of them.