Machine Learning with Python: Comprehensive Beginner’s Guide to Machine Learning in Python with Exercises and Case Studies
Программирование / Книги для мобильных устройств
Основная информация:
Название: Machine Learning with Python: Comprehensive Beginner’s Guide to Machine Learning in Python with Exercises and Case Studies
Жанр: Нет
Автор: Paige Jacobs
Год выпуска: 2019
Формат: PDF, EPUB, AZW3
Размер: 10.1 MB
ISBN: 126656140619
Язык: Английский
СКАЧАТЬ Machine Learning with Python: Comprehensive Beginner’s Guide to Machine Learning in Python with Exercises and Case Studies БЕСПЛАТНО EPUB - DOC - DJVU - RTF - PDFОписание: There are different processes that are included within the meaning of the term "learning." If you refer to a dictionary and look up the meaning of learning, then you will come across different phrases like "to gain knowledge, understanding of or skill, through study, experience or instruction," and "the change in behavioral tendencies through experience." If you look at it superficially, in respect to machines, it is safe to say that any change in the structure of the machine, the data stored in the memory or its data composition, in order to improve the efficiency and the effectiveness of the machine’s performance is an undeniable sign of learning in a machine. When you start to delve deeper into this subject, only a couple of these changes can be categorized as machine learning.
Data is added or fed to the machines and these machines “learn” from this data. This data is referred to as training data because it is literally used to train the machines.
Once the machines have this data, they start to analyze any patterns present within the data and then perform actions based on these patterns. Machines use various learning mechanisms for analyzing the data according to the actions that they need to perform. These mechanisms can be broadly classified into two categories- supervised learning and unsupervised learning.
You might wonder why there aren’t any machines designed solely for the purpose of performing those tasks that they are needed to carry out. There are different reasons why machine learning is important. As already mentioned, all research conducted about machine learning comes in handy since it helps us understand a couple of aspects of human learning. Also, machine learning is quintessential because it helps increase the accuracy, effectiveness and the efficiency of machines.
In this book, you will learn about machine learning using Python. The information given in each of the chapters will improve your understanding of machine learning programming using Python. The sample codes along with the case studies will enable you to test your knowledge.
So get started with your knowledge of Machine Learning with Python with this book!