Key Machine Learning Techniques for Product Classification
Several ML techniques play a pivotal role in product classification: Supervised Learning: Algorithms like logistic regression, support vector machines (SVM), and neural networks use labeled training data to predict product categories. Unsupervised Learning: Methods such as K-means clustering group similar products together when labels are unavailable. Deep Learning: Advanced techniques, such as CNNs for image-based classification and Transformers for text, enable high accuracy. For example, a CNN can distinguish between different types of shirts based on images, while a Transformer can analyze text descriptions to classify products.