Author archive for Nikolay Manchev, page 3
Nikolay Manchev
Nikolay Manchev is a former Principal Data Scientist for EMEA at Domino Data Lab. In this role, Nikolay helped 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.
Getting Started with Ray
In this blog post we give a quick introduction to Ray. We talk about the architecture and execution model, and present some of Ray's core paradigms such as remote functions and actors.
By Nikolay Manchev12 min read
Explaining black-box models using attribute importance, PDPs, and LIME
By Nikolay Manchev17 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
Subscribe to the Domino Newsletter
Receive data science tips and tutorials from leading Data Science leaders, right to your inbox.
By submitting this form you agree to receive communications from Domino related to products and services in accordance with Domino's privacy policy and may opt-out at anytime.