unsupervised learning

unsupervised machine learning

machine learning beginners algorithm types robot

Machine Learning for Beginners: Overview of Algorithm Types
 Start learning Machine Learning from here

In this beginners’ tutorial, we’ll explain the machine learning algorithm types.
Following this guide, you can break into machine learning by understanding:
– What is machine learning, in simple words.
– What are supervised, unsupervised, and reinforcement learning.
– 10 commonly used machine learning algorithms.
In the end, you’ll gain an overview of machine learning (ML) and when to use these algorithms when practicing ML.

anomaly outlier detection eggs in a tray

How to apply Unsupervised Anomaly Detection on bank transactions
 A use case of Unsupervised Learning with Python, step-by-step

In this tutorial, we’ll show how to detect outliers or anomalies on unlabeled bank transactions with Python.

You’ll learn:
– How to identify rare events in an unlabeled dataset using machine learning algorithms: isolation forest (clustering).
– How to visualize the anomaly detection results.
– How to fight crime with anti-money laundering (AML) or fraud analytics in banks
Use case and tip from people with industry experience

Scroll to Top
We use cookies to ensure you get the best experience on our website.  Learn more.