[BOOK|RTF] Machine Learning For Dummies

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Machine Learning For Dummies Cheat Sheet From By Machine learning is an incredible technology that you use more often than you think today and with the potential to do even more tomorrow. The Macjine thing about machine learning is that Machibe R and Python make the task easier than more people realize because both languages come with a lot of built-in and extended support through the use of libraries, datasets, and other resources. With that in mind, this cheat sheet helps you access the most commonly needed reminders for making your machine learning experience fast and easy. Choosing the Mafhine Algorithm for Machine Learning Machine learning involves the use of many different algorithms. This table gives you a quick summary of the strengths and weaknesses of various algorithms. There is a library available to meet your specific needs — you just need to know which one to use. This table Machine Learning For Dummies you with a listing of the libraries used for machine learning for both R and Python. When you want to perform any algorithm-related task, simply load the library needed for that task into your programming environment. Algorithm Python implementation R implementation Adaboost sklearn. AdaBoostRegressor library ada : ada Gradient Boosting sklearn. GradientBoostingRegressor library gbm : gbm K-means sklearn. ExtraTreesRegressor library randomForest : randomForest Support Vector Machines sklearn. However, finding the specific algorithm Learjing want to know about can Learnibg difficult. This table provides you with the online location for information about the algorithms used in machine learning.

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