Advanced Mathematics & AI Algorithms
hr USD 15–25
About the project
I am developing a program that combines advanced algebra, analysis, and data sciences to solve complex business problems. The focus is on advanced mathematical algorithms and AI-based solutions targeting areas such as optimization, predictive modeling, machine learning, and data science applications. Goals of the project include: - Developing original or optimized algorithms based on theoretical foundations like group theory, differential/integral calculus, and linear algebra. - Creating detailed documentation in PDF: conceptual explanations, mathematical proofs, pseudocode, complexity analysis, and implementation examples (using Python/NumPy/TensorFlow/PyTorch). - Offering clear guidance for data storage/streaming for NoSQL environments (like MongoDB/Cassandra) and scaling solutions on Spark/Hadoop. - Providing test datasets and expected results to validate numerical stability and performance for real-world use cases. Ideal candidates will have expertise in scientific computing libraries, parallel optimization on GPU or clusters. Mathematical rigor, pedagogical clarity of documentation, and reproducibility of provided code will be key evaluation criteria. Additionally, I am seeking collaborations not just with individual freelancers but also companies interested in leveraging advanced mathematics and AI-backed models for their business needs.
Skills required
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