Dr. Martin's Data Mining
Page
Summer
Reading
Here are some suggestions
for learning more about data mining and statistics:
Think Stats
Think Bayes
Standard
Deviations: Flawed Assumptions, Tortured Data, and Other Ways to
Lie with Statistics
How
to Lie with Statistics
Everybody
Lies: Big Data, New Data, and What the Internet Can Tell Us
About Who We Really Are
Weapons
of Math Destruction
Wine Group
Using
Data Science to Understand What Makes Wine Taste Good -
from freeCodeCamp
How
to Use Machine Learning to Predict the Quality of Wines -
from freeCodeCamp
Wine
Quality Data Set - from the Machine Learning Repository at
UC Irvine
Brix
Article
Health Group
New
England Journal of Medicine Article
LA
Times Article
Kids Count Data Center
WPST Group
Resources
Data Mining with WEKA:
WEKA
FutureLearn
Course
Udacity Statistics Courses:
https://www.udacity.com/course/intro-to-descriptive-statistics--ud827
https://www.udacity.com/course/intro-to-inferential-statistics--ud201
Udemy Machine Learning with Python and R
https://www.udemy.com/machinelearning/learn/v4/overview
Internships
Pathways to Science
Code 2040
Books for Interviewing
Cracking
the Coding Interview
Programming
Interviews Exposed: Secrets to Landing Your Next Job 3rd Edition
=======================================
NLP
Books
Natural Language Processing
with Python -Analyzing Text with the Natural
Language Toolkit
Steven
Bird, Ewan Klein, and Edward Loper
http://www.nltk.org/book/
Natural Language Toolkit
https://www.nltk.org/