Johns Hopkins Machine Learning 600.475 Fall 2014

Machine Learning 600.475 Fall 2014. Johns Hopkins Machine Learning 600.475 Fall 2014. Instructor Prof. Mark Dredze. Office hours Tue 3-4pm Hackerman 226C. Poorya Mianjy Wed 1030-1200pm Malone 340. Yiming Wang Mon 1-230pm Malone 340. We will focus on fundamental methods applicable to all applications. Application specific techniques, such as feature extraction, will be covered only to the benefit of understanding the basic methods. Thanks to Hosting Colombia.

OVERVIEW

This site cs475.org currently has an average traffic classification of zero (the smaller the better). We have scanned six pages within the domain cs475.org and found zero websites linking to cs475.org. There are one contacts and locations for cs475.org to help you communicate with them. This site cs475.org has been on the internet for six hundred and seventeen weeks, twenty-seven days, ten hours, and fifty-two minutes.
Pages Crawled
6
Contacts
1
Locations
1
Online Since
Sep 2012

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CS475.ORG HISTORY

This site cs475.org was started on on September 10, 2012. As of today, it is six hundred and seventeen weeks, twenty-seven days, ten hours, and fifty-two minutes young.
REGISTERED
September
2012

LENGTH OF LIFE

11
YEARS
9
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28
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CONTACTS

Dredze.com

Mark Dredze

2841 W. Fitch

Chicago, IL, 60645

US

CS475.ORG HOST

We observed that a single root page on cs475.org took two hundred and forty-nine milliseconds to download. I could not find a SSL certificate, so in conclusion I consider this site not secure.
Load time
0.249 secs
SSL
NOT SECURE
Internet Protocol
207.38.86.218

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I discovered that this website is using the nginx operating system.

PAGE TITLE

Johns Hopkins Machine Learning 600.475 Fall 2014

DESCRIPTION

Machine Learning 600.475 Fall 2014. Johns Hopkins Machine Learning 600.475 Fall 2014. Instructor Prof. Mark Dredze. Office hours Tue 3-4pm Hackerman 226C. Poorya Mianjy Wed 1030-1200pm Malone 340. Yiming Wang Mon 1-230pm Malone 340. We will focus on fundamental methods applicable to all applications. Application specific techniques, such as feature extraction, will be covered only to the benefit of understanding the basic methods. Thanks to Hosting Colombia.

CONTENT

This site cs475.org states the following, "Johns Hopkins Machine Learning 600." We observed that the webpage also stated " Office hours Tue 3-4pm Hackerman 226C." It also stated " Poorya Mianjy Wed 1030-1200pm Malone 340. Yiming Wang Mon 1-230pm Malone 340. We will focus on fundamental methods applicable to all applications. Application specific techniques, such as feature extraction, will be covered only to the benefit of understanding the basic methods."

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