SVM Efficient optimization with SMO algorithm Support Vector Machines Topics Separating data with the maximum margin Finding the maximum margin, Efficient optimization with SMO algorithm Speeding up optimization with full Platt SMO Using Kernels for More Complex Data Dimensionality Reduction Techniques: Principal Component analysis What is Support Vector Machines (SVM)? SVM is a type of machine learning algorithm that finds a hyperplane in a high-dimensional space to maximize the margin between the classes.
."Discover how machine learning algorithms can be used to predict customer behaviour and improve business outcomes. Learn how to leverage the power of data to drive success." Machine learning is a subfield of artificial intelligence that focuses on the development of algorithms and models. Machine learning has numerous applications in various fields such as computer vision, natural language processing, speech recognition, robotics, finance, healthcare, and more