Hossein Khazaei, PhD

Hossein Khazaei, PhD

Passionate about science!

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AdaBoost

Ensemble Models

7 minute read

Published:

Ensemble is the art of combining diverse set of learners (Individual models) together to improvise on the stability and predictive power of the model. Roughly, ensemble learning methods, that often trust the top rankings of many machine learning competitions are based on the hypothesis that combining multiple models together can often produce a much more powerful model. Ensemble learning is a machine learning paradigm where multiple models (often called “weak learners”) are trained to solve the same problem and combined to get better results. Click for more info.

Bagging

Ensemble Models

7 minute read

Published:

Ensemble is the art of combining diverse set of learners (Individual models) together to improvise on the stability and predictive power of the model. Roughly, ensemble learning methods, that often trust the top rankings of many machine learning competitions are based on the hypothesis that combining multiple models together can often produce a much more powerful model. Ensemble learning is a machine learning paradigm where multiple models (often called “weak learners”) are trained to solve the same problem and combined to get better results. Click for more info.

Boosting

Ensemble Models

7 minute read

Published:

Ensemble is the art of combining diverse set of learners (Individual models) together to improvise on the stability and predictive power of the model. Roughly, ensemble learning methods, that often trust the top rankings of many machine learning competitions are based on the hypothesis that combining multiple models together can often produce a much more powerful model. Ensemble learning is a machine learning paradigm where multiple models (often called “weak learners”) are trained to solve the same problem and combined to get better results. Click for more info.

Classification

Deep Learning

Why Deep Learning

6 minute read

Published:

Deep learning has dominated the field of machine learning and artificial intelligence. But why? The reason is that it is simple so that many non-professionals can learn how to work with it in a short amount of time, and yet it is very effective, capable of solving problems that by no means was possible using classic methods.

Hyperparameter Tuning

6 minute read

Published:

It is important to use a separate validation dataset from the train and test sets for tuning model hyperparameters. (ref)

Ensemble Models

Ensemble Models

7 minute read

Published:

Ensemble is the art of combining diverse set of learners (Individual models) together to improvise on the stability and predictive power of the model. Roughly, ensemble learning methods, that often trust the top rankings of many machine learning competitions are based on the hypothesis that combining multiple models together can often produce a much more powerful model. Ensemble learning is a machine learning paradigm where multiple models (often called “weak learners”) are trained to solve the same problem and combined to get better results. Click for more info.

Feature Engineering

Why Deep Learning

6 minute read

Published:

Deep learning has dominated the field of machine learning and artificial intelligence. But why? The reason is that it is simple so that many non-professionals can learn how to work with it in a short amount of time, and yet it is very effective, capable of solving problems that by no means was possible using classic methods.

Hyperparameter tuning

Hyperparameter Tuning

6 minute read

Published:

It is important to use a separate validation dataset from the train and test sets for tuning model hyperparameters. (ref)

Logistic Regression

ML algorithms

Regression