
Автор: Ajit Singh
Издательство: Independently published
Год: 2019
Страниц: 137
Язык: английский
Формат: pdf
Размер: 17.5 MB
Machine learning can be described as a form of statistical analysis, often even utilizing well-known and familiar techniques, that has bit of a different focus than traditional analytical practice in applied disciplines. The key notion is that flexible, automatic approaches are used to detect patterns within the data, with a primary focus on making predictions on future data. This book is written for sophomore students in computer science, technology, engineering, or mathematics (STEM), assuming that they know algebra and calculus. Readers should have already solved some problems using computer programs. More specifically, the book takes a task-based approach to machine learning, with almost 200 self-contained solutions (you can copy and paste the code and it’ll run) for the most common tasks a data scientist or machine learning engineer building a model will run into.