Data Science Tutor -- 2
Budget: $30 – $250 USD
MATLAB
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.
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.