I’m going to use a bit of a click bait title for this article. But the aim of this article is to share experiences I’ve gathered from about 10 years building ML systems, and building ML teams. Why ML is about more than ML I saw the following tweets by Erik so I’ve added them.… Continue reading Why building ML systems is about more than ML?
Disclosure: I’m not really a data scientist these days, I’m a founder of a tech startup (which has a core AI component). These are my unfair, biased, and prejudiced views based on experience of being a professional data scientist for something like a decade. So firstly, I think it’s worth declaring that machine learning and… Continue reading How can Data Scientists survive layoffs?
What is synthetic media? Synthetic Media includes artificially-generated video, voice, images or text, where AI takes on part (or all) of the creative process. This falls under the broader landscape of synthetic, artificial or virtual reality (photo-realistic AR/VR). One of the more powerful things about modern machine learning or AI methods is that they can… Continue reading Synthetic Media – What’s coming next?
Unbundling of people or ‘rise of the creator class’ If you work in Tech you end up exposed to trends, and if you’re a product-focused engineer you think a lot about ‘product’, product strategy and what’s ‘coming next’. One question in our current ecosystem is ‘what’s next after marketplaces’ we’ve already seen very successful companies… Continue reading The rise of the creator class
I recently wrote an email to an Irish Entrepreneur about the challenges of using Kubernetes and Kafka. I think both technologies are awesome, but I’ve seen in the past companies trying to integrate them without thinking about the managed services that exist out there. Kubernetes If you’re doing it yourself I’d look at https://docs.aws.amazon.com/eks/latest/userguide/getting-started.html which is from… Continue reading Why serverless matters or how do you want to spend your innovation tokens?
I recently caught up with Noelle Saldana and she shared some of her experiences as a Data Scientist and Product Management expert. She’s got a strong technical background and has worked for Pivotal a leading technology consultancy helping Forbes 500 learn how to leverage Machine Learning. She’s recently joined Salesforce where she’ll be wearing a… Continue reading “Much of our day-to-day lives are touched and improved by Data”
I’ve got an online course called Probabilistic Programming Primer You may be wondering what that’s all about, so I put together a video explainer all about it. Building easy to interpret models isn’t a nice to have anymore it is the reason people pay for models in the first place. And as we see more… Continue reading Introduction to Probabilistic Programming Primer
I recently put together a survey of over 100 data scientists and analysts. There’ll be a report coming super soon, but before then I wanted to share the infographic. We’ll go into more detail in the report. If you’d like to get access to the report you should sign up here 70 percent of data scientists… Continue reading State of PPL: How are Bayesian methods used in industry?
(Repost from 2015) I recently interviewed Hadley Wickham the creator of Ggplot2 and a famous R Stats person. He works for RStudio and his job is to work on Open Source software aimed at Data Geeks. Hadley is famous for his contributions to Data Science tooling and inspires a lot of other languages! I include some light edits. 1.… Continue reading Interview with a Data Scientist (Hadley Wickham)
Bayesian Analysis the good parts One of the questions I’m often asked is what’s so powerful about Bayesian analysis? I speak regularly to analysts, who’ve heard of some of the powerful aspects of it, but haven’t heard enough to emotionally invest time in learning it. I’ve thought about this on and off for a few… Continue reading Think you need to learn Bayesian Analysis? Read this first