Introduction to Machine Learning with Python by Sarah Guido, Andreas C. Mueller

Introduction to Machine Learning with Python



Download Introduction to Machine Learning with Python

Introduction to Machine Learning with Python Sarah Guido, Andreas C. Mueller ebook
ISBN: 9781449369415
Page: 400
Publisher: O'Reilly Media, Incorporated
Format: pdf


Python is a leading development platform for data scientists working on machine learning projects. Want to learn how to do machine learning in Python? This featured recipe is Chapter 8's introduction. This tutorial will offer an introduction to the scikit-learn package and to the central concepts of Machine Learning. Purpose of this one day course is to serve as an introduction to Machine Learning with Scikit-Learn. Participants should plan to use Python 2.6 or 2.7 for this tutorial. Learn machine learning algorithms for clustering, classification, and regression and how to implement them using Scikit-Learn and Python. We will illustrate them with scikit-learn, a popular and user-friendly Python package for machine learning. Python demo code for GP regression. 0:00 - 0:15 -- Setup and Introduction; 0:15 - 0:30 -- Quick review of data visualization with 1: 15 - 2:00 -- Basic principles of Machine Learning & the scikit-learn interface. This is the website of CPSC 540, a machine learning course taught at UBC by Introduction to machine learning.





Download Introduction to Machine Learning with Python for iphone, kindle, reader for free
Buy and read online Introduction to Machine Learning with Python book
Introduction to Machine Learning with Python ebook djvu mobi pdf rar zip epub