Thoughts on the future of data science, and how developers can build predictive products using machine learning.
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ML 101: Training Data
What is training data? Machine learning is all about using data to make smarter, faster, more accurate decisions and predictions. To accomplish this, we build models that understand both the subtle
by Andrew Blumenfeld
The Future of Machine Learning
Machine Learning: Build or Buy?
It’s a cliche because it’s true: the question is not if you’re going to incorporate machine learning into your products, it’s how you’re going to do it. But whereas the demands were previously on
Top Five Qualities of a Data Scientist
If you are a developer or founder of a startup, it can be difficult to know what to look for in a data scientist, or hard to tell if you even need one. In this article, we will explore the most
by Justin Goldstein
What data should I use to train my model?
Figuring out what data you should use to train your model is very important and can sometimes feel a bit overwhelming. On the one hand, it can feel like you have troves of data and you don’t know