Machine Learning Pocket Reference Working with Structured Data in Python

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You'll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics. -- Provided by publisher.

About the author

Matt runs MetaSnake, a Python and Data Science training and consulting company. He has over 15 years of experience using Python across a breadth of domains: Data Science, BI, Storage, Testing and Automation, Open Source Stack Management, and Search.

Summary

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project.

Product details

• Authors: Matt Harrison, Harrison Matt
• Publisher: O'Reilly
• Content: Book
• Product form: Paperback / Softback
• Publication date: 30.11.2019
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > Programming languages
• EAN: 9781492047544
• ISBN: 978-1-4920-4754-4
• Dimensions (packing): 6.2 x 17.7 x 1.6 cm
• Weight (packing): 292 g
• Subjects: machine learning, Artificial Intelligence, COMPUTERS / Machine Theory, COMPUTERS / Optical Data Processing, Information visualization, information architecture, Mathematical theory of computation, Image processing, Programming & scripting languages: general, Natural language & machine translation, COMPUTERS / Human-Computer Interaction (HCI), COMPUTERS / Computer Architecture, COMPUTERS / Artificial Intelligence / General, Database design and theory, COMPUTERS / Data Science / Machine Learning, COMPUTERS / Data Science / Data Visualization, Programming and scripting languages: general, COMPUTERS / Data Science / Neural Networks, Natural language and machine translation, COMPUTERS / Database Administration & Management, Data capture and analysis, Data Capture & Analysis, COMPUTERS / Languages / General, Neural networks and fuzzy systems, Neural networks & fuzzy systems, Database design & theory, deep learning machine learning AI artificial intelligence python data processing cleaning data feature selection classification regression clustering pipeline