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The Math Behind SVM
Part 1: Implementing SVM from scratch
Human-Activity-Recognition using Transfer Learning and Sequential models
Domain Background:
The Math Behind SVM
Part2: Lagrange multipliers & Optimisations
Threat of Adversarial Attacks on Deep Learning in Computer Vision
A step towards comprehensive understanding of Adversarial Attack
The Math Behind Decision Trees
Part1: A Statistical guide to Machine Learning
The Math Behind SVM
part3: The Implementation
N-gram Language Models
Step towards statistical language model
Addressing Viterbi Algorithm challenges
Part2: Viterbi decoding algorithm for POS tagging
Building N-gram Language Model From Scratch
Part2: Building Statistical Language Model from Scratch
Build Viterbi Decoding Model from Scratch
The Viterbi algorithm provides an efficient way of finding the most likely state sequence in the maximum a posteriori probability sense of…
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