Author archive for Nikolay Manchev, page 3
Nikolay Manchev
Nikolay Manchev is the Principal Data Scientist for EMEA at Domino Data Lab. In this role, Nikolay helps clients from a wide range of industries tackle challenging machine learning use-cases and successfully integrate predictive analytics in their domain specific workflows. He holds an MSc in Software Technologies, an MSc in Data Science, and is currently undertaking postgraduate research at King's College London. His area of expertise is Machine Learning and Data Science, and his research interests are in neural networks and computational neurobiology.
Building a Named Entity Recognition model using a BiLSTM-CRF network
By Nikolay Manchev14 min read
Fitting Support Vector Machines via Quadratic Programming
In this blog post we take a deep dive into the internals of Support Vector Machines. We derive a Linear SVM classifier, explain its advantages, and show what the fitting process looks like when solved via CVXOPT - a convex optimisation package for Python.
By Nikolay Manchev18 min read
ML internals: Synthetic Minority Oversampling (SMOTE) Technique
By Nikolay Manchev22 min read
Credit Card Fraud Detection using XGBoost, SMOTE, and threshold moving
By Nikolay Manchev16 min read
Performing Non-Compartmental Analysis with Julia and Pumas AI
When analysing pharmacokinetic data to determine the degree of exposure of a drug and associated pharmacokinetic parameters (e.g., clearance, elimination half-life, maximum observed concentration $$C_{max}$$, time when the maximum concentration was observed $$T_{max}$$, Non-Compartmental Analysis (NCA) is usually the preferred approach [1].
By Nikolay Manchev10 min read
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