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Nikolay Manchev

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.

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MLOps

Dask vs Spark vs Ray: Choosing the right distributed computing framework

By Nikolay Manchev15 min read

Code

Reinforcement learning: The K-armed bandit problem

By Nikolay Manchev8 min read

Data Science

Building a named entity recognition model using a BiLSTM-CRF network

By Nikolay Manchev12 min read

Data Science

Fitting support vector machines via quadratic programming

By Nikolay Manchev16 min read

Code

Getting Started with Ray

By Nikolay Manchev11 min read

Machine Learning

GPU-accelerated CNNs with PyTorch for efficient training

By Nikolay Manchev12 min read

Perspective

Eight Considerations When Choosing a Data Store for Data Science

By Nikolay Manchev16 min read

Data Science

Enhancing model accuracy with SMOTE oversampling techniques

By Nikolay Manchev20 min read

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