Now that you understand the general flow of thought on how to define learning processes using mathematics and statistics, we can explore the inner workings of machine learning. Machine learning studies algorithms and statistical models that are able to learn and perform specific tasks without explicit instruction. As every software development manager should have some expertise in computer programming, the data science project manager should understand machine learning. Grasping the underlying concepts between any machine learning algorithm will allow you to understand better the limitations and requirements for your project. It will ease communication and improve understanding between you and the data scientists on your team. Knowledge of basic machine learning terminology will make you speak in the language of data science.
We will now dive into the...
