Practical Guide to Boosting Algorithms In Machine Learning
Author(s): Youssef Hosni Originally published on Towards AI. Use weak learners to create a stronger one Boosting (originally called hypothesis boosting) refers to any Ensemble method that can combine several weak learners into a strong learner. The general idea of most boosting …
Tabular Learning — Gradient Boosting vs Deep Learning( Critical Review)
Author(s): Raghuvansh Tahlan Originally published on Towards AI. Thanks to technological advancements and affordable computing, complex systems are being developed to analyse the exponentially growing data and generate actionable insights. Neural Networks, the core of these complex systems, have shown exceptional performance …
Machine Learning: Its True Essence
Author(s): Navoneel Chakrabarty Originally published on Towards AI. Conceptually, Machine Learning (ML) is the art of teaching machines. Now, obviously teaching is such that when a student is taught by a teacher/tutor, he is capable of facing and answering any question which …
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