We know that we’re supposed to listen more than talk. Doing this well is called effective or active listening. For some reason, I thought that this means that in conversations one should be somewhat passive, give space to the other person and let them guide the conversation. Though this can be powerful in specific situations (e.g. the other person needs to vent) it can be really slow and ineffective in most cases. So instead of being passive, I’ve become active by asking the questions.
During this process, I’ve understood that asking the questions is a very difficult skill to learn…
The reality is that for organizations to be successful, work needs to get done by multiple people owning different areas or verticals. As such it is fairly common for large projects to exceed the project manager's ability to provide sufficient attention to everything going on.
“If I went to my board and told them that I need to do either sales or marketing, and asked them which of those I should do, I’d be laughed out of the room. I need to do both, just like you need to do both!”
- Fictional CEO (The Phoenix Project)
Even a competent…
My principles format does not follow Ray Dalio’s exactly and is more rigid.
Generator 1.1.1: Title — a more thorough explanation or tactics.
Recognizing where you stand will allow…
When we say “scale”, it generally means two different things:
1.1 Computational scale
Also known as the amount of available computation available for use. Generally, the more compute is available, the more easily machine learning tasks can be solved. It has been just recently that people started training neural networks large enough to take advantage of all the data we have in the world.
There are also interesting counterexamples, such as Starship technologies, that are using low-compute platforms to do things generally not solvable by current algorithms. …
Answers to questions I frequently get asked in interviews. I am Machine Learning lead in the Automation team at Veriff, a start-up that has hit hyper-growth and has grown from 30 to 300 people within a year — that’s 22.5 people per month on average!
Questions in this blog post are composed of interview notes I’ve gathered over the course of multiple months mainly hiring for data scientist positions in the Automation team.
Objectives and Key Results (OKR) is a popular management strategy for goal setting within organizations. The purpose of OKRs is to connect company, team, and personal goals to measurable results while having all team members and leaders work together in one, unified direction.
This post will cover how effective and detrimental OKR implementations look like, how to draft good ones and what should one keep in mind after they have been implemented. …
Organiser of people, builder of software.