Machine Learning with Python: Advanced and Effective Strategies Using Machine Learning with Python Theories

Автор: buratino от 21-04-2020, 13:04, Коментариев: 0

Категория: КНИГИ » ПРОГРАММИРОВАНИЕ

Название: Machine Learning with Python: Advanced and Effective Strategies Using Machine Learning with Python Theories
Автор: Ethan Williams
Издательство: Amazon.com Services LLC
Год: 2020
Формат: PDF
Страниц: 102
Размер: 1 Mb
Язык: English

Are you eager to use advanced Machine Learning methods with Python? Are you looking forward to automating simple things using the power of the keyboard, but you have no idea how to achieve it?
Machine learning is a vast field and expanding at supersonic speed. Python evolution is an ongoing process and lives up to the hype. The field goes beyond robotics and data finance to finance applications.
When you use machine learning and python programming in the right way, they have the capability of changing the lives of people around the world. In this advanced book, we are going to break down the advanced features of this new technology to advance your skills as an IT enthusiast. You will discover:
•An overview to machine learning and Python
•How we classify machine learning algorithms
•How we can apply machine learning in different areas
•Understanding the artificial neural networks
•The use of convoluted neural networks
•Building predictive models
•Autoencoders in ML and Python
•K-Means techniques and Natural Language Processing
•The art of feature engineering
•The ensemble methods
•And much more
There is no doubt that we are on the cusp of some great things in modern technology. Machine Learning and Python has already impacted people around the world without their awareness. Have you interacted with Google, Netflix, Alexa, Facebook, Amazon, Apple, and others? Such companies have ventured into advanced machine learning applications to benefit the end users.
Would you like to know more? Press the Buy Now button and get started!




ОТСУТСТВУЕТ ССЫЛКА/ НЕ РАБОЧАЯ ССЫЛКА ЕСТЬ РЕШЕНИЕ, ПИШИМ СЮДА!


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