CART Algorithm as a part of a Decision Tree Algorithm | Infographic Summary Note on Decision Trees

 

Machine Learning Algorithms used in solving some of the popular real world problems

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Machine Learning Algorithms used in solving some of the popular

real world problems

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 *  The majority of all the real world problems in machine learning are classification and regression problems which are to be performed over structured data ( that means it doesn't take into account much of unstructured data into the account )  

*  In the real world machine learning environment , deep learning also plays a very shallow and limited role in the field of machine learning and therefore it is considered as one of the smallest factors that go into building of applications over machine learning

 *  One of the the mostly used algorithm to augment the model performance is XGBoost algorithm .This was created by developer and machine learning engineer Tianqi Chen who changed the face of applied machine learning which as already mentioned is the best case use of machine learning algorithms and the way augmentation of built model performances is done which come under the category of gradient boosting algorithms which also happens to work over and on top of structured data .

  

*  Therefore , gradient boosters like XGBoost are considered as the gold standard for modelling over structured data problems used in data competitions .Again it needs to be re-iterated and kept in memory eternally that almost all of the data problems use XGBoost and other gradient boosters for working over any data problem .

 

 *  It is also believed that the top cloud based companies like Google , Microsoft  and Amazon also use gradient boosters over their cloud paltform for analysis into structured data problems

 *  Google's Cloud based Machine Learning Platform is called as AutoML . In this platform and application , the AutoML tables use gradient boosters and deep learning models for hyperparameter tuning

Last modified: 14:20

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Derivative of a Cost-Function term in a regression function - small note of formulation and procedure to formulate derivative expression

 

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Basic Codes on Octave for Statistical Calculations on Matrices , Vectors

 

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