Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning Gallatin KylePaperback
This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with...
This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems all the way from loading data to training models and leveraging neural networks.
Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure it works. From there, you can adapt these recipes according to your use case or application. Recipes include a discussion that explains the solution and provides meaningful context. Go beyond theory and concepts by learning the nuts and bolts you need to construct working machine learning applications.
You'll find recipes for:
Vectors, matrices, and arrays Working with data from CSV, JSON, SQL,
Chybí či je nepravdivý některý důležitý parametr? Uvedené informace jsou pouze orientační, před zakoupením ve vybraném obchodě doporučujeme ověřit, že prodávaný model má klíčové vlastnosti dle vašich požadavků. I když se snažíme o maximální přesnost informací, bohužel nemůžeme zaručit jejich 100% správnost. Ceny produktů jsou uváděny včetně DPH.
