August Monthly 🤩
Mon, 19th August | 18:30 BST (GMT+01:00)

Venue

Fat Llama

1A Old Nichol Street, London, E2 7HR

The office is not easily accessible for wheelchair users (it has a step up to the front door, and three more steps up to the main office floor). If any attendees are wheelchair users and let us know in advance, we can sort out a solution for this. However, the downstairs area of the office will still be inaccessible as the only way down is via various staircases.

All toilets are gender neutral.

RSVP

Agenda

Please join us for the August edition of codebar Monthlies!

We'll have food and drinks as you turn up. There are breaks between talks. We aim to finish around 20:30.

Long talks 🗣

Anushka Fernando (she/her): "An open source framework to improve data quality in the energy sector"

An introductory talk on the basic concepts of reinforcement learning with coding examples.

Narendra Shetty (he/him) : "A/B testing - What, Why, How?"

We are all working towards one single goal. To create a best user experience. But most of the time we are wrong about what we think is good for the user. We usually have no idea if a feature is useful to the user until it is used by the customers. My talk is about letting the users help you understand what they need and if a particular feature is really useful for the users by using the technique of A/B testing. Attend my talk to find out how to run A/B tests in your company at scale and what it takes to build the optimal tests

Short talks ⚡️

Laura González (she/her) : "What Claire Saffitz taught me about coding"

Claire is the star of gourmet makes, a youtube show where she tries to reverse engineer snack foods and make her own versions of them. She throws everything she knows at a problem, experiments, fails, sometimes succeeds, sometimes completely breaks down. This is all despite her being a super accomplished chef with years of experience. Basically she inspires me a lot as a software engineer because I'm the same and i think she gives a super candid look at how nobody ever _really_ knows what they are doing.