Another exquisit release
Lynda.Introduction.to.Python.Recommendation.Systems.for.Machine.Learning-XQZT
Title: Introduction to Python Recommendation Systems for Machine Learning
Publisher: Lynda
Iso Size: 189M (197238784 B)
Files: 5F
Date: 07/18/2017
Course #: 563080
Type: Big Data
Published: 7/14/2017
Modified: N/A
URL: www.lynda.com/Python-tutorials/Introduction-Python-Recommendation-Systems-Machine-Learning/563080-2.html
Author: Lillian Pierson, P.E.
Duration: 1h 38m
Skill: Intermediate
Exercise: [X]
Installation:
Unpack that shit, mount that shit, run that shit
Notes:
Discover how to use Python—and some essential machine learning
concepts—to build programs that can make
recommendations. In this hands-on course, Lillian Pierson, P.E.
covers the different types of recommendation systems out there, and
shows how to build each one. She helps you learn the concepts
behind how recommendation systems work by taking you through a
series of examples and exercises. Once you're familiar with the
underlying concepts, Lillian explains how to apply
statistical and machine learning methods to construct your own
recommenders. She demonstrates how to build a
popularity-based recommender using the Pandas library, how to
recommend similar items based on correlation, and how to deploy
various machine learning algorithms to make
recommendations. At the end of the course, she shows how to
evaluate which recommender performed the best.