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Articles by Mary Alfheim
Explainable AI (XAI) with a Decision Tree
Image by Jplenio Sager from Pixabay AI, Learning models become more and more complex over time and it becomes difficult to analyze them intuitively. It is often heard that machine learning models are “black boxes”, in the sense that they can make good predictions but we can’t understand the logic behind those predictions. This statement is true in the sense that most data scientists find it difficult to extract insights from models.
Don’t Let a Machine Learning Engineer Work Alone
Image under license to Mary Alfheim from Shutterstock Machine learning engineers are in enormous demand. You already are painfully aware of this if you’ve tried to hire anyone with a title even close to this in the past few years. These engineers are incredibly skilled at taking a data science output, like a model, and actually putting it into production to ship new applications.
Content Alone Won’t Grow Your Media Subscription Business
Make sure you measure these 5 KPIs Image via Shutterstock under license to Mary Alfheim A digital product that is selling media, compared to a retail transaction or even a B2B service, exists in its own special kind of growth hell. You are not just asking people to spend on you once, you are asking them to do this over and over again. You need customers to give you a monthly subscription fee, and also spend their limited attention on your product.
Data Scientist or Data Product Manager? What’s the Difference?
Image via Shutterstock under license to Mary Alfheim I’ve found myself advocating for the role of a data product manager many times in the last few months, even as part of a hundred plus person team spanning so many roles across data and analytics. How is this role different? Why would we hire into that role when we desperately need more data engineers? Is that even a full time job?
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