A Decision Tree is a supervised predictive model that can learn to predict discrete or continuous outputs by answering a set of simple questions based
Author: albahnsen
From Real-Time Learning to Reinforcement Learning with Asynchronous Feedback
Online, or real-time, transactional fraud detection systems have recently created quite the buzz in the info security industry. They are an appealing concept: Because we
Building AI Applications Using Deep Learning
Recently, we have seen a huge boom around the field of deep learning; it is currently being implemented in a wide variety of fields, from
Classifying Phishing URLs Using Recurrent Neural Networks
In a recent research paper, we showed how we are able to detect with a high level of accuracy if a website is a phish
Machine Learning Explained
Machine learning models are often dismissed on the grounds of lack of interpretability. There is a popular story about modern algorithms that goes as follows:
TDWI: 5 Minutes with a Data Scientist: Alejandro Correa Bahnsen of Easy Solutions
TDWI: 5 Minutes with a Data Scientist: Alejandro Correa Bahnsen of Easy Solutions Lead data scientist Alejandro Correa Bahnsen develops machine learning algorithms for fraud
