daily log 12.10.19

Top 100 Interview Questions for Data Science

HERE!

Things I had to lookup (ahem, relearn) today:

(Because of this dude and his awesome article:)

Dude

Article via Xan – Why not to use SVMs

Gaussian Process

Multivariate Normal Distribution

In modern time, the multivariate normal distribution is incredibly important in machine learning, whose purpose is (very roughly speaking) to categorize input data xx into labels yy, based on some training pairs x,yx,y. One major approach involves analyzing the distribution p(x

y)p(x∣y), and approximating it with a multivariate normal distribution, the validity of which can be checked using various normality tests;

LINK

Intro to Bayesian Linear Regression

Posterior Probability

Automatic Statistician

MATH STUFF!

Reddit list for learning

Gamification in Math

Reddit list!

From Harvard Student

Getting distracted trying to scrape my course outlines

import urllib
import urllib.parse

url = 'https://2su.datascience.syr.edu/auth/sessions?t=1576016233191'
d = dict(username="YOURUNHERE@syr.edu", password="YOURPASSWORDHERE")

data = urllib.parse.urlencode(d).encode("utf-8")
req = urllib.request.Request(url)
with urllib.request.urlopen(req,data=data) as f:
    resp = f.read()
    print(resp)