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Hopsworks and multidisciplinary ML
I recently had a brief but fun chat with Hopsworks about the multidisciplinary nature of building machine learning products, as part of their 5-minute podcast series hosted by Rik Van Bruggen. See the transcript and video at 5-minute-interview-with-david-colls-nextdata. Rik and I talked about how David, Ada and I address this multidisciplinary perspective in our book…
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EV snow’d tripping
Adventures with EVs often involve big mountain climbs, which consume additional energy, impacting range. I recently had the opportunity to drive climbs from Bright to Omeo and back via Mt Hotham, in Gunaikurnai and Taungurung country, and get a sense for how EVs handle hills. I collected efficiency data for each leg of a road…
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Demistifying ML product teams
Along with Ana Kelk, Head of Product (ecosystem) at Canva, David Tan, Ada Leung and I participated in a panel for Product Tank Melbourne, discussing the particular needs of ML product development (and the common product development needs too!) It was a great way to share and get feedback on one of the key themes…
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Effective ML Teams on Thoughtworks Tech Podcast
I recently recorded an episode of the Thoughtworks Technology Podcast with my Effective Machine Learning Teams co-authors Ada Leung and David Tan, hosted by Scott Shaw and Ken Mugrage. The episode is number 146 – Building at the intersection of machine learning and software engineering. It was great to chat about the book and share…
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What to expect when you weren’t expecting an R&D project
This was supposed to be a regular digital project that consistently made progress towards the objective… right? Problem statement, some analysis, build a solution bit by bit, deploy, …, nice linear progression… but no… we were wrong! It turned out to be an R&D project. Often R&D projects change direction and sometimes seem to go…
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EMLT Q&A
A fun Q&A with Thoughtworks on the drivers, key messages and writing process for Effective Machine Learning Teams (EMLT) with my fellow authors Ada and David. It’s neat to be featured alongside all the other many great books from Thoughtworks authors. Find the book, trial and purchase options at O’Reilly, and find yourself a nice…
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Dealing with data inventory
Data held by businesses is often described as an asset, but there are cases where this can be misleading or even incorrect. In any case, data managed inappropriately leaves value on the table, inflates cost, reduces responsiveness, and creates risk. Some data held by businesses would better be described as inventory. It might one day…
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EV adventuring with resilience
Road trips are the most demanding EV scenario currently in Australia, especially to remote destinations. However, a little planning shows that they are still quite doable. Did the plans survive contact with reality? Mostly. In short, it was a pleasure to drive an EV long distances and the only inconvenience was faulty public charging infrastructure.…
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R&D burn up
This article captures the key points of a conversation I have quite often with teams involved in exploratory work, and their stakeholders. Typical burn up We’re used to burn up charts looking like the examples in this description from Atlassian – a roughly horizontal scope line which we work towards with a roughly diagonal completed…
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Effective Machine Learning Teams in print
My book Effective Machine Learning Teams is now in print! Building ML solutions requires multi-disciplinary collaboration. EMLT shows how to use design practices to identify the right products, how to apply good data science and software engineering practices to build products right, and how to structure ML teams and organisations so that they are right…