formulate problems in tensor form and fluently manipulate tensors;
efficiently run vectorized code;
apply matrix decomposition to practical problems;
represent problems as objective functions and apply optimisation to solve them;
formulate and understand problems with stochastic elements;
understand the principles of Bayesian inference and apply it to simple problems;
create effective, clear, and precise visualisations of scientific data;
understand the effects of sampling and noise on time series;
process, filter, summarise and plot time series and array data.
recognise risks in the safety and correctness of numerical operations.
17 фрилансеров(-а) готовы выполнить эту работу в среднем за $138
I am expert in data science. I have done number of projects in this field. I read the description very carefully and can help for sure. I am very hardworking. Please do consider me.
I am happy to have the opportunity to help you. Perfection and punctuality are my iron rules. If you want the best result, select me! Results, not words, will prove everything!