000			01894nam a22001937a 4500
005			20260203154355.0
020			_a978-9352134571
082			_a006.31 MUL
100			_aAndreas C Muller _91229
100			_aSarah Guido _91230
245			_aIntroduction To Machine Learning With Python
250			_a1
260			_aShroff/O'Reilly _bNavi Mumbai _c2025
300			_aPrint length ‏ : ‎ 392 pages _bItem Weight ‏ : ‎ 600 g Dimensions ‏ : ‎ 18 x 1 x 24 cm
520			_aMachine 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 MŸller 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. With this book, you'll learn: 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.
546			_aLanguage ‏ : ‎ English
650			_aCSE _914
942			_cBK
999			_c38172 _d38172