Tag: Machine Learning

Linear regression is one of the most popular and best understood algorithms in the machine learning landscape. Since regression tasks ...

Transfer learning is all the rage in the machine learning community these days. It serves as the basis for many ...

Machine learning/Deep Learning/AI are fancy number crunchers and they can have some amazing results given good data, however, the first ...

Better encoding of categorical data can mean better model performance. In this series, I’ll introduce you to a wide range ...

Descriptive Statistical Analysis helps you to understand your data and is a very important part of Machine Learning. This is ...

In this post, you will learn about the mathematical objects of Linear Algebra that are used in Machine Learning. You ...

Machine learning methods are used in a wide range of areas. In this post, I will discuss a few of ...

Faster R-CNN, R-FCN, and SSD are three of the best and most widely used object detection models out there right ...

“Correlation does not imply causation” we all know this mantra from statistics. And we think that we fully understand it. ...

Through this post you will learn all about decision trees, non-linearity, overfitting and variance, and ensemble models like Random Forest. A ...

Data Types are an important concept of statistics, which needs to be understood, to correctly apply statistical measurements to your ...

Part 1 of this article discussed a few simple techniques that helped with initial scalability of machine learning… and hopefully ...