Название: Python for Data Science: Advanced and Effective Strategies of Using Python Data Science Theories
Автор: Ethan Williams
Издательство: Amazon.com Services LLC
Год: 2020
Формат: PDF
Страниц: 130
Размер: 0.9 Mb
Язык: English

Data Science, however, uses the same set of information but primarily is concerned with future predictions and forecasts growth. Their outputs, although similar in goal, are presented in different ways. In business intelligence, the reports are mainly presented in the simplest way possible, like reports, graphs, and business statistics. Conversely, in data science, the data is presented using a data model. It uses machine learning to gain future insights accurately based on whatever information is fed into it. It does not only capture the trends and leave the interpretation to human capacity but also gives the insights that are based on factual data. This makes predicting not only easier but also increasingly accurate.
What this guide intends to do is go in-depth on some of the more popular advanced data science theories using Python, as well as an overview of machine learning, algorithms, and an in-depth tutorial on using SciPy to optimize your data so, let’s dive in.