This is part-5 of the case study on Boost Debt Collections and Recoveries using Machine Learning (MLBR). A machine learning predictive model to enhance the current recovery system by creating focus groups for business to boost debt collection. (more…)
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The rapid recent progress in machine learning (ML) has raised a number of
scientific questions that challenge the longstanding dogma of the field. One of
the most important riddles is the good empirical generalization of
overparameterized models. Overpara... (more…)
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Learn how machine learning algorithms work from the ground up so you can effectively troubleshoot your models and improve their performance.</b>
Fully understanding how machine learning algorithms function is essential for any serious ML engineer... (more…)
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We present a brief history of the field of interpretable machine learning
(IML), give an overview of state-of-the-art interpretation methods, and discuss
challenges. Research in IML has boomed in recent years. As young as the field
is, it has over 200 yea... (more…)
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A big challenge in neuroscience is understanding how the brain encodes information. Neural networks are turning out to be great code crackers. (more…)
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