This is part of a series featuring the following aspects of machine learning: Mathematics, simulations, benchmarking algorithms based on synthetic data (in short, experimental data science) Opinions, for instance about the value of a PhD in our field, or the use of some techniques Methods, principles, rules of thumb, recipes, tricks Business analytics Core Techniques This issue focuses on c…
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