"Dimensionality curse" has been prevalent across the spectrum of the data analysis. Now machine learning claims its power in conducting complex tasks such as hand-writing digits, human face recognition, the huge amount of data and high dimensions cause big hurdles for the execution of such good methodology. Hence, an effective way to reduce dimensions is … Continue reading Manifold Learning and Principal Component Analysis(PCA) in Preprocessing the Data Before Building a Classification Pipeline
Machine Learning
Machine Learning Algorithms
Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model based on inputs and using that to make predictions or decisions, rather than following only explicitly programmed instructions. It oftentimes is conflated with data mining, although that focuses more … Continue reading Machine Learning Algorithms
Naixian Zhang 