Vtome.ru - электронная библиотека

Python Machine Learning Is The Complete Guide To Everything You Need To Know About Python Machine Learning

  • Добавил: buratino
  • Дата: 2-09-2019, 09:40
  • Комментариев: 0
Название: Python Machine Learning Is The Complete Guide To Everything You Need To Know About Python Machine Learning: Keras, Numpy, Scikit Learn, Tensorflow, With Useful Exercises and examples
Автор: Erick Myers
Издательство: Amazon Digital Services LLC
Год: 2019
Формат: epub/pdf(conv.)
Страниц: 171
Размер: 10 Mb
Язык: English

Python with machine learning is increasing day-to-day popularity. Python is currently a widely used programming language for machine learning. Like the use of python in professional work, it is also growing reputation in
the academic sector. In Coursera, various online courses, like programming language for machine learning, the use of Python is an excellent tool in machine learning. Python comes with Linux, Mac OSX, and Windows operating
system. Python is one of Google's official programming languages. This course will introduce people who know the rough programming to Python for machine learning. The course
is not suitable for those who want to learn machine learning by using python. Those who want to use Python in the fancy project or professional project they can start learning Python with this course. And those who are preparing for higher education can also get acquainted with Paithan by taking this course.
This course is for:
Those who are new to the programming will have trouble understanding this course, but those who are already familiar with Python will have many benefits for machine learning purpose.












НЕ РАБОТАЕТ TURBOBIT.NET? ЕСТЬ РЕШЕНИЕ, ЖМИ СЮДА!


ПРАВООБЛАДАТЕЛЯМ


СООБЩИТЬ ОБ ОШИБКЕ ИЛИ НЕ РАБОЧЕЙ ССЫЛКЕ



Внимание
Уважаемый посетитель, Вы зашли на сайт как незарегистрированный пользователь.
Мы рекомендуем Вам зарегистрироваться либо войти на сайт под своим именем.
Информация
Посетители, находящиеся в группе Гости, не могут оставлять комментарии к данной публикации.