Archive for the 'project management' Category

Hey there! Having the best time of my life ;)

This is the first episode I record while I am live on my new Twitch channel :) So much fun!

Feel free to follow me for the next live streaming. You can also see me coding machine learning stuff in Rust :))

Don't forget to jump on the usual Discord and have a chat

I'll see you there!

 

 

 

 

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In this episode I speak about a testing methodology for machine learning models that are supposed to be integrated in production environments.

Don't forget to come chat with us in our Discord channel

 

Enjoy the show!

 

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This episode is supported by Amethix Technologies.

 

Amethix works to create and maximize the impact of the world’s leading corporations, startups, and nonprofits, so they can create a better future for everyone they serve. They are a consulting firm focused on data science, machine learning, and artificial intelligence.

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Building reproducible models is essential for all those scenarios in which the lead developer is collaborating with other team members. Reproducibility in machine learning shall not be an art, rather it should be achieved via a methodical approach. 
In this episode I give a few suggestions about how to make your ML models reproducible and keep your workflow as smooth.

Enjoy the show!

Come visit us on our discord channel and have a chat

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Data science and data engineering are usually two different departments in organisations. Bridging the gap between the two is essential to success. Many times the brilliant applications created by data scientists don't find a match in production, just because they are not production-ready.

In this episode I have a talk with Daan Gerits, co-founder and CTO at Pryml.io

 

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Join the discussion on our Discord server

Scaling technology and business processes are not equal. Since the beginning of the enterprise technology, scaling software has been a difficult task to get right inside large organisations. When it comes to Artificial Intelligence and Machine Learning, it becomes vastly more complicated. 

In this episode I propose a framework - in five pillars - for the business side of artificial intelligence.

 

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The two most widely considered software development models in modern project management are, without any doubt, the Waterfall Methodology and the Agile Methodology. In this episode I make a comparison between the two and explain what I believe is the best choice for your machine learning project.

An interesting post to read (mentioned in the episode) is How businesses can scale Artificial Intelligence & Machine Learning https://amethix.com/how-businesses-can-scale-artificial-intelligence-machine-learning/

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In this episode I speak about how important reproducible machine learning pipelines are.
When you are collaborating with diverse teams, several tasks will be distributed among different individuals. Everyone will have good reasons to change parts of your pipeline, leading to confusion and definitely a number of options that soon explode.
In all those cases, tracking data and code is extremely helpful to build models that are reproducible anytime, anywhere.
Listen to the podcast and learn how.

 

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In the aftermath of the Barclays Accelerator, powered by Techstars experience, one of the most innovative and influential startup accelerators in the world, I’d like to give back to the community lessons learned, including the need for confidence, soft-skills, and efficiency, to be applied to startups that deal with artificial intelligence and data science.
In this episode I also share some thoughts about the culture of fireflies in modern and dynamic organisations.

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