Linear regression, Regression analysis, Machine learning, Median, Mean squared error, Decision tree learning
How to explain gradient boosting
3-part article on how gradient boosting works for squared error, absolute error, and general loss functions. Deeply explained, but as simply and intuitively as possible.
How to explain gradient boosting
3-part article on how gradient boosting works for squared error, absolute error, and general loss functions. Deeply explained, but as simply and intuitively as possible.
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An End-to-End Guide to Understand the Math behind XGBoost
Ever since its introduction in 2014, XGBoost has been lauded as the holy grail of machine learning hackathons and competitions. From…
#003 PyTorch – How to implement Linear Regression in PyTorch
You will learn what Linear regression is and we will show you an easy way to use PyTorch to implement a simple linear regression model.
15 Popular Machine Learning Metrics For Data Scientist
The article was about the popular machine learning metrics. We described fifteen of them here. We hope, this would be very helpful for you.
Beware Default Random Forest Importances
Training a model that accurately predicts outcomes is great, but most of the time you don't just need predictions, you want to be able to interpret your model. The problem is that the ...
3 Reasons Data Scientists Need Linear Algebra
As a data scientist, you may be able to get away without using linear algebra — but not for long. Here’s how linear algebra can improve your machine learning, computer vision and natural ...
Predicting Nanoparticle Delivery to Tumors Using Machine Learning and Artificial Intelligence Approaches
Analyzing the roles of NP physicochemical properties, tumor models, and cancer types in NP tumor delivery efficiency
Compressive Strength Prediction Using Coupled Deep Learning Model with Extreme Gradient Boosting Algorithm: Environmentally Friendly Concrete Incorporating Recycled Aggregate
The application of recycled aggregate as a sustainable material in construction projects is considered a promising approach to decrease the carbon footprint of concrete structures. ...
Azure Machine Learning- Predicting the Value of Your House
In this tutorial you will learn how to build a model to predict the real estate sales price of a house based upon various historical features about the house and the sales transaction.
Understanding Gradient Boosting as a gradient descent
Understanding Gradient Boosting as a gradient descent
Going beyond least-squares – II : Self-concordant analysis for logistic regression
Generalization bounds for generalized linear models Beyond optimization, the use of self-concordant can make the non-asymptotic statistical analysis of logistic regression, and more ...
What Is Gradient Boosting?
A common type of machine learning model that has managed to be extremely useful in data science competitions is a gradient boosting model. Gradient boosting is basically the process of ...