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转自：爱可可-爱生活 The answer to the question 'What machine learning algorithm should I use?' is always 'It depends.' It depends on the size, quality, and nature of the data. It depends on what you want to do with the answer. It depends on how the math of the algorithm was translated into instructions for the computer you are using. And it depends on how much time you have. Even the most experienced data scientists can't tell which algorithm will perform best before trying them. The Machine Learning Algorithm Cheat SheetThe Microsoft Azure Machine Learning Algorithm Cheat Sheet helps you choose the right machine learning algorithm for your predictive analytics solutions from the Microsoft Azure Machine Learning library of algorithms. This article walks you through how to use it. This cheat sheet has a very specific audience in mind: a beginning data scientist with undergraduate-level machine learning, trying to choose an algorithm to start with in Azure Machine Learning Studio. That means that it makes some generalizations and oversimplifications, but it will point you in a safe direction. It also means that there are lots of algorithms not listed here. As Azure Machine Learning grows to encompass a more complete set of available methods, we'll add them. These recommendations are compiled feedback and tips from a lot of data scientists and machine learning experts. We didn't agree on everything, but I've tried to harmonize our opinions into a rough consensus. Most of the statements of disagreement begin with 'It depends…' 链接： https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-algorithm-choice 原文链接： http://www.weibo.com/1402400261/EtMiBqMgh?ref=collection&type=comment#_rnd1486127619353 |
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