If you want to take a particular decision on a given task, for example, if a bank wants to approve a credit card for a person, they check a certain number of criteria to approve or deny. This classification task can be done through Perceptron Algorithm; however, today they are many hybrid algorithms that work behind for approving the credit card or any binary classification task.
Perceptron is a very simple supervised learning algorithm used for a binary classification task. The binary can give only two options 0 or 1, yes or no, approve or deny, etc.
The weights are w1, w2, w3….wdxd, and features are x1, x2, x3…xd and then add bias term b that determines 0 or 1, approve or deny, yes or no, etc.
Further Reading
Posts on Artificial Intelligence, Deep Learning, Machine Learning, and Design Thinking articles:
Rasa X Open Source Conversational AI UI Walk-through
Artificial Intelligence Chatbot Using Neural Network and Natural Language Processing
Code Example: Import EMNIST Dataset and Print Handwritten Letters
Forecasting a Time Series and Recurrent Neural Network(RNNs)
Pre-trained Models for Transfer Learning
EMNIST Dataset Handwritten Character Digits
MNIST Largest Handwritten Digits Database
Posts on SAP:
SAP AI Business Services – Document Information Extraction
SAP AI Business Services: Document Classification
SAP Intelligent Robotic Process Automation, Use Case, Benefits, and Available Features
A simple wireframe design for SAP FIORI UI Chatbot
Simplified SAP GTS Customs Export/Import Documentation with SAP Event Management
How to create your own SAP Fiori Chatbot in 10 days?
Preconfigured Visibility Process Scenarios in SAP Event Management – Part I
Why we like the SAP Business Rule Framework Plus (SAP BRF+) Recipe?
Leave A Comment