Programming (expected): intermediate Python programming skills: work effectively with loops, control flows, data structures, files, functions and OO programming. Prior experience with PyData libraries is also recommended (e.g. Numpy, Pandas, Matplotlib)Mathematics (recommended): Matrix vector operations and notation.
Machine Learning (recommended): understand how to frame a machine learning problem including how data is represented, how models are evaluated on the task and against each other, and how to optimize model performance for the best evaluation."
" What background knowledge is necessary?
Programming (expected): intermediate Python programming skills: work effectively with loops, control flows, data structures, files, functions and OO programming. Prior experience with PyData libraries is also recommended (e.g. Numpy, Pandas, Matplotlib)Mathematics (recommended): Matrix vector operations and notation.
Machine Learning (recommended): understand how to frame a machine learning problem including how data is represented, how models are evaluated on the task and against each other, and how to optimize model performance for the best evaluation."