Visual Studio Magazine

Implementing k-NN Classification Using C#

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...
Visual Studio Magazine

How to Do Neural Binary Classification Using Keras

The goal of a binary classification problem is to make a prediction that can be one of just two possible values. For example, you might want to predict the sex (male or female) of a person based on ...
Nature

Dermatologist-level classification of skin cancer with deep neural networks

There are 5.4 million new cases of skin cancer in the United States 2 every year. One in five Americans will be diagnosed with a cutaneous malignancy in their lifetime. Although melanomas represent ...
VentureBeat

Researchers propose LEAF, a frontend for developing AI classification algorithms

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In machine learning, mel-filterbanks — fixed, hand-engineered ...
TMCnet

MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Convolutional Neural Network, Achieving New Breakthrough in MNIST Multi-Class Classification

Data Encoding Stage: The MNIST dataset contains grayscale handwritten digit images. Each image is scaled and normalized, then mapped to eight qubits through Angle Encoding or Amplitude Encding. This ...