Mohlo by se vám také líbit

Více informací o knize Python Machine Learning

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 114 bodů

Anotace knihy

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics

Key Features

Book Description

Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data - its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success.

Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization.

What you will learn

Who this book is for

If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning - whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science

• Plný název: Python Machine Learning
• Autor: Sebastian Raschka
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 454
• EAN: 9781783555130
• ISBN: 9781783555130
• ID: 02815096
• Nakladatelství: Packt Publishing Limited
• Hmotnost: 840 g
• Rozměry: 238 × 193 × 29 mm
• Datum vydání: 23. September 2015

Oblíbené z jiného soudku

---

---

---