We provide a software that detects patterns and anomalies in massive plant data sets (time series data). We need someone who is willing to assist us in improving our algorithms (with regard to accuracy, performance, adaptiveness etc.).
Our software is implemented in Python, so the algorithms should be implemented in Python too (libraries such as scipy, numpy, pybrain, pandas etc. are available).
We would start with an algorithm that detects changes in time series (be it outliers, shifts, drifts etc.). So, if you consider to bid for this project, please provide some examples of relevant work.
17 freelancers están ofertando el promedio de $22/hora para este trabajo
hello i am a PhD in computer science and engineering. i can do this algorithm task perfectly. i can give you a sample (message me for that). plz provide detail information. thanks
My specialization is Machine learning and pattern recognition. I believe I can help you to improve your current algorithm performance. Don't hesitate to contact me if you need more information. Regards