Introduction to The Machine Learning Stack
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Introduction to the machine learning stackData science is the underlying force that is driving recent advances in artificial intelligence (AI), and machine learning (ML). This has lead to the enormous growth of ML libraries and made established #programming languages like Python more popular than ever before.It makes sense to put them all together (even though they’re not interchangeable) because there’s significant overlap. In some ways we can say that data science is about producing insights, while AI is about producing actions, and ML is focused on making predictions.To better understand the inner workings of data science in AI and ML, you will have to dive right into the machine learning engineering stack listed below to understand how it’s used.As part of our research for Springboard’s (...)
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