Similarity Distance

Software similarity and classification is an emerging topic with wide applications. It is applicable to the areas of malware detection, software theft detection, plagiarism detection, and software clone detection. Extracting program features, processing those features into suitable representations, and constructing distance metrics to define similarity and dissimilarity are the key methods to identify software variants, clones, derivatives, and classes of software.

Build a Comprehensive Attendance System using Face Recognition and Machine Learning

Apply Data Science and Artificial Intelligence techniques to extract and analyze your LinkedIn network

Mastering Vector Databases: Fundamental Concepts to Advanced Applications in AI and Big Data

Unlock the potential of AI with our Machine Learning course – master essential techniques and algorithms today!

Unlock the potential of AI with our Machine Learning course – master essential techniques and algorithms today!

An incredibly easy method that works

How to create machine learning recommendation systems with deep learning, collaborative filtering, and Python.