Discussing the article: "Data Science and Machine Learning(Part 15): SVM, A Must-Have Tool in Every Trader's Toolbox"
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Check out the new article: Data Science and Machine Learning(Part 15): SVM, A Must-Have Tool in Every Trader's Toolbox.
Discover the indispensable role of Support Vector Machines (SVM) in shaping the future of trading. This comprehensive guide explores how SVM can elevate your trading strategies, enhance decision-making, and unlock new opportunities in the financial markets. Dive into the world of SVM with real-world applications, step-by-step tutorials, and expert insights. Equip yourself with the essential tool that can help you navigate the complexities of modern trading. Elevate your trading game with SVM—a must-have for every trader's toolbox.
The dual SVM is not a distinct type of SVM but rather a representation of the SVM optimization problem. The dual form of an SVM is a mathematical reformulation of the original optimization problem that allows for more efficient solution methods. It introduces Lagrange multipliers to maximize a dual objective function, which is equivalent to the primal problem. Solving the dual problem leads to the determination of support vectors, which are critical for classification.
This best suits the data that is not linearly separable
It is also important to know that we can either use hard or soft margins to make SVM classifier decisions using hyperplane.
Author: Omega J Msigwa