kercker

I think there is a difference between "grabbing, kissing, making comments about physical attributes" and "looking around for the nearest 'girl' and asking if she would fetch it to him".

I find this site greatly useful.

Undergraduate courses STAT 100: Statistical Concepts and Reasoning

    STAT 200: Elementary Statistics

    STAT 414: Introduction to Probability Theory

    STAT 415: Introduction to Mathematical Statistics

    STAT 461: Analysis of Variance

    STAT 462: Applied Regression Analysis

    STAT 464: Applied Nonparametric Statistics

    Statistical Analysis System Programming (STAT 480/481/482)

        STAT 480: Introduction to SAS

        STAT 481: Intermediate SAS

        STAT 482: Advanced Topics in SAS

    STAT 484: Topics in R Statistical Language

    STAT 485: Intermediate Topics in R Statistical Language

-----------------------------------------------------------

Graduate Courses Statistical Analysis System Programming

    STAT 480 - Introduction to SAS (1 credit)
    STAT 481 - Intermediate SAS (1 credit)
    STAT 482 - Advanced Topics in SAS (1 credit)
    STAT 484 - Topics in R Statistical Language
    STAT 485 - Intermediate Topics in R Statistical Language

Theoretical Foundations

    STAT 414 - Introduction to Probability Theory
    STAT 415 - Introduction to Mathematical Statistics
    STAT 464 - Applied Nonparametric Statistics

Graduate Level Courses

    STAT 500 - Applied Statistics*
    STAT 501 - Regression Methods*
    STAT 502 - Analysis of Variance and Design of Experiments
    STAT 503 - Design of Experiments
    STAT 504 - Analysis of Discrete Data
    STAT 505 - Applied Multivariate Statistical Analysis
    STAT 506 - Sampling Theory and Methods
    STAT 507 - Epidemiological Research Methods
    STAT 509 - Design and Analysis of Clinical Trials
    STAT 510 - Applied Time Series Analysis

    * For students just beginning the Graduate Certificate or the Masters in Applied Statistics program, STAT 500 then STAT 501 would be the recommended courses to begin your study.

Advanced Application of Statistical Methods

    STAT 897D - Applied Data Mining I

Capstone Experience

    STAT 580/581 - Statistical Consulting Practicum Sequence

Clear the cache of NYT, and you can view another few articles.

According to its recruit page (http://ai.tencent.com/ailab/recruit.html), they have researchers in US and Shenzhen, China.

Can you give some examples of these interesting work?

From Word Bank: "According to China’s current poverty standard (per capita rural net income of RMB 2,300 per year in 2010 constant prices), there were 55 million poor in rural areas in 2015."

Your statement "there's around 700M in China that still lives in rural areas with under $1 a day" is simply wrong.

[1] http://www.worldbank.org/en/country/china/overview

- 2013: Yitang Zhang's work on the gap between prime numbers.

You can try this link: http://www-history.mcs.st-andrews.ac.uk/Miscellaneous/bg_pic...

In the conclusion section the authors said that :

"If we had stronger computational facilities, we would like to try big data and deeper forest, which is left for future work." and that:

"As a seminar study, we have only explored a little in this direction."

I got this problem too.

I solved it by downloading 'averaged_perceptron_tagger' from nltk.

>>>import nltk

>>>nltk.download('averaged_perceptron_tagger')

Great share! There has been always a lack of engineering ingredient from machine learning literature. This is a must read.

Are there any information or formulas about the new algorithms?

This course does not include videos, which makes the learning process more effective and distinguishes it from other courses.

As to Coursera, I really don't like the specification concept. When I browse the course list, I want to see a clean interface, not an interface cluttered with specifications.

I don't have the data. But I guess that although Coursera has 20 million members, their overall engagement rate is decreasing. Because without new courses, many users will likely not return to the site.

RIP

There is a short bio of Ahmed Zewail from Nobel Foundation's site: http://www.nobelprize.org/nobel_prizes/chemistry/laureates/1...

I am afraid to skip a book, because I am afraid to miss some important things that I just skipped.

I can't easily get over this feeling, when I'm reading a book, so I keep reading every detail of the books I read.

I also think that taking notes will take too much time, so I'm always reluctant to take notes when I am reading something.

After reading this directive, I will try the steps it says.

Carol Dweck's "Growth mindset". This book changed my view of diligence and intelligence.

WeChat users can send Red Envelope to friends or relatives. It is often used as a game in a WeChat group. I dont think this can be counted as real payment.

I'm wondering when will the draft chapter come? Have he already finished some chapters?

I can not see how Arab Spring made the society fairer. Internet helped the Arab Spring develop, but the Arab Spring is not such a good thing, because look what it left to middle east.

The author apparently has his own agenda, after seeing the time well spent link all over the article.

I don't understand why there is an "MIT" in the title.

When I clicked the Facebook link provided by this page, I got "Sorry, this content isn't available right now. The link you followed may have expired, or the page may only be visible to an audience you're not in."

Why would Guido Menzio delete this post?

The explanation is very easy to follow and makes the implemention easy too.

From answers given by some CS professors on Quora, just a cert from a MOOC means nothing to them if you are applying for PhD. What they really care is if you have mastered the techniques you got from learning the MOOC.

>"I mean, that's like asking whether marathon runners have a future now that we've got cars."

I don't think they are the same things. Marathon is about the physical limit of human beings, while Go is about mental limit.

Before there are cars, or trains, we all know we are not the fastest in the world. A rabbit can easily overrun an adult human.

However, we never thought that a dog or a bird will beat us in a game like GO. Thinking a machine beating the human champion in the game of GO, is like admitting that we are intelligently inferior to machines.

I'm wondering what the name - gensim - means.

The labs are great to learn the basics of distributed systems.

Are all Netflix Originals produced like House of Cards? If all the Originals were produced aided by machine learning methods, can we say that machine learning methods are not that effective?

RIP