There are many supervised algorithms that can be used to train a classifier. The problem is that it is hard to say which one will be the best fit for your data — there is no golden algorithm that always comes out best. To train a good predictive model you need to…
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mljar
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A contribution from Piotr Płoński, founder of MLJAR. Predicting employee attrition with machine learning can greatly improve human resources management, saving a lot of money, while still keeping good employees if action is taken in time. In this article the example of how to predict employee attrition with machine learning is presented. The…
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Machine learning as a service offers the distinct advantage of scalable machine resources as and when they are needed. The platforms listed below vary in sophistication. Some offer AI assistance, while others are simply platforms for coordinating work when developing in R or python. Take your pick. Automatic Business Modeler (ABM)…
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Updated 21 March 2016 Machine Learning as a Service Platforms 2016 Machine learning is a nebulous term used to address capabilities such as face recognition, speech recognition, natural language processing, predictive analytics and specific techniques such as deep learning (deep neural networks). All the services listed below provide APIs so…