A few years ago in data science, most job openings required a PhD or at least a master’s degree in mathematics, statistics, or a similar subject as a primary criterion. Everything has changed in the last couple of years. There has been widespread development of machine learning libraries that abstract away the complex nature of algorithms, as well as the realization that the practical application of machine learning to solve business problems requires a set of skills…
How machine learning worksNeural network as a sub-sector of machine learningReasons for choosing Python for programming neural networks A neural network in Python is written for a number of good reasons: the brevity of the programming language, a low entry threshold (you don’t need to study the nuances of the code for years), a huge number of plug-in libraries, and much more. Nobody forbids writing in other languages, but it will be longer, more difficult,…
Regression is one of the main predictive modeling and data mining methods. It allows you to establish a relationship between variables in order to predict the development of a phenomenon in the future. For example, in this way you can find out how many products the store will sell in the coming months, how price changes will affect the flow of customers, and what proportion of employees may leave the company. Even beginner analysts know about linear…
