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MLConvex.ai is a blog site describing new approaches and solutions to complex data problems. The focus areas are in Machine learning (ML), Natural language processing (NLP), Computer vision (CV), Blockchain, Quantum algorithms and Quantum cryptography.
The main drivers are:
- Fast business benefit realization
- Intelligence in machine learning algorithms
- Simplification of complex structures and execution of minimum necessary
- Utilization of open source structures and open data sources
Timo Laine
Ph.D. (mathematical physics, numerical analysis)
Email: timo.laine@mlconvex.ai
