Building a quality machine learning model for text classification can be a challenging process. You need to build a training dataset, test different parameters for your model, fix the confusions, among other things. On this post, we will describe the pro…
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Today we launched TFiR Ai, a channel dedicated to Ai, ML, Deep Learning and other such technologies. Our debut video is our interview with Chris Mattmann, de... (more…)
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This is companion wiki of the Machine Learning Engineering by Andriy Burkov.
Machine Learning Engineering is the first book on practical aspects of building machine learning systems for production. (more…)
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Linear algebra is to machine learning as flour to bakery: every machine learning model is based in linear algebra, as every cake is based in flour. It is not the only ingredient, of course. Machine learning models need vector calculus, probability, and op... (more…)
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Have you looked at Google Trends? It’s pretty cool — you enter some keywords and see how Google Searches of that term vary through time. I… (more…)
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Have you ever coded an ML pipeline which was taking a lot of time to run? Or worse: have you ever got to the point where you needed to save on disk intermediate parts of the pipeline to be able to… (more…)
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