02235nam a22002537a 4500 2077 2077 OSt 20190102101605.0 190102b ||||| |||| 00| 0 eng d 978-93-5213-457-1 Allied Informatics, Jaipur 5712 17/12/2018 2018-19 BSDU English BSDU 005.133 MUL Muller, Andreas C. Introduction to Machine Learning with Python: A guide for data scientists Mumbai Shroff Publishers & Distributors Pvt. Ltd. 2018 378 Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination. You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them. Familiarity with the NumPy and matplotlib libraries will help you get even more from this book. Contents: Introduction Supervised Learning Unsupervised Learning and Preprocessing Representing Data and Engineering Features Model Evaluation and Improvement Algorithm Chains and Pipelines Working with Text Data Wrapping Up Index Fundamental concepts and applications of machine learning Advantages and shortcomings of widely used machine learning algorithms How to represent data processed by machine learning, including which data aspects to focus on Advanced methods for model evaluation and parameter tuning The concept of pipelines for chaining models and encapsulating your workflow Methods for working with text data, including text-specific processing techniques Suggestions for improving your machine learning and data science skills Computer Science Python Guido, Sarah ddc BK 0 0 ddc 0 0 BSDU BSDU 2019-01-02 1200.00 1 005.133 MUL 017668 2021-12-07 00:00:00 2021-11-23 1200.00 2019-01-02 BK 0 0 ddc 0 1 REF BSDU BSDU 2019-01-02 1200.00 0 005.133 MUL 017669 2020-02-12 00:00:00 1200.00 2019-01-02 BK