Python machine learning / Wei-Meng Lee.
Publisher: Indianapolis, IN : John Wiley and Sons, 2019Copyright date: c2019Description: xxiv, 296 pages ; 24 cmContent type:- text
- unmediated
- volume
- 9781119545637 (pbk)
- 005.133 .L482 2019
Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Print Materials | Main Library Engineering | Non-fiction | 005.133 .L482 2019 (Browse shelf(Opens below)) | Available | 0123693 |
Includes index
"Machine learning is a hot topic today, due in no small part to the rapid increase in computing power that allows a host of tasks to be performed on a desktop machine. However, machine learning can be overwhelming to the inexperienced. That's why Python Machine Learning provides a step-by-step approach that first educates you on the underlying technologies, enabling you to build on that knowledge base as you develop your machine learning skills.
Python Machine Learning covers:
- Fundamentals libraries used in Python to enable machine learning: Numpy, Pandas, and matplotlib
- Common machine learning algorithms including regression, classification, clustering, and anomaly detection
- Machine learning using Python and the Scikit-Learn libraries
- Deploying machine learning models as web services
- Machine learning using Microsoft Azure Machine Learning Studio
- Real-world examples showing how machine learning creates solutions" --Provided by publisher
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Text in English
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