Hassan Anis

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Optimization In Google Sheets

Good news for those of you that use spreadsheets to do analytics: Google recently announced a Linear Optimization add-on for Google Sheets, and now …

Machine-Learning Algorithm Calculates Fair Distance for a Race Between Usain Bolt and Long-Distance Runner Mo Farah - MIT Technology Review

It’s obviously unfair to compare the performance of sprinters and long-distance runners. These endeavors place entirely different demands on the …

PythoneeR

After using a lot of R for analytics projects believing that it was the best language for Data Scientists, I recently had the chance to pick up …

Part 4a: Modelling - predicting the amount of rain

In the fourth and last part of this series, we will build several predictive models and evaluate their accuracies. In Part 4a, our dependent value …

10 types of regressions. Which one to use?

Jupyter Notebook Viewer

Probabilistic Programming & Bayesian Methods for Hackers¶<p><i>Using Python and PyMC</i>¶<p>The Bayesian method is the natural approach to inference, yet it is …

The State of Probabilistic Programming

For two weeks last July, I cocooned myself in a hotel in Portland, OR, living and breathing probabilistic programming as a “student” in the …

Hidden Markov model

<b>Hidden Markov Model</b> (<b>HMM</b>) is a statistical Markov model in which the system being modeled is assumed to be a Markov process with unobserved (i.e.</i> …

Yes, Please: An Algorithm for Fact Checking the Internet

Researchers use graph theory to sniff out junk information.<p>​Despite the claims of print journalism's anxiety-stricken old guard, fact checking hasn't vaporized under the bright lights of high-BPM internet writing. If anything, it's forced editors and writers to crank up the obsessiveness …

Planning algorithms evaluate probability of success, suggest low-risk alternatives

Imagine that you could tell your phone that you want to drive from your house in Boston to a hotel in upstate New York, that you want to stop for …

Twitter sentiment analysis with R

(This article was first published on <b>Analyze Core » R language</b>, and kindly contributed to R-bloggers)<p>Recently I designed a relatively simple code in R …

Twitter sentiment analysis based on affective lexicons with R

(This article was first published on <b>Analyze Core » R language</b>, and kindly contributed to R-bloggers)<p>Continue to dig tweets. After we reviewed how to …

Natural Language Processing

How Software in Half of NYC Cabs Generates $5.2 Million a Year in Extra Tips

MIT algorithm predicts Twitter trending topics up to five hours in advance

An MIT team has developed an algorithm that can predict trending topics on Twitter an average of an hour and a half before they appear.<p>Professor …

1.2 Million Deaths by Ebola projected within Six Months?

The World Health Organization, Samaratins Purse, Doctors Without Borders, and other international medical emergency relief programs are desperately …

Distinguishing cause from effect using observational data: methods and benchmarks. (arXiv:1412.3773v3 [cs.LG] UPDATED)

The discovery of causal relationships from purely observational data is a fundamental problem in science. The most elementary form of such a causal …

Brooklyn Leads, Bronx Lags in Green Cab Tipping Rates

So you wanna be a data scientist? A guide to 2015's hottest profession

Are you good at math? Like, <i>really</i> good at math? Do you also know Python and, oh yeah, have deep knowledge of a particular industry?<p>On the off chance …

Bank of England begins monitoring internet and social networks for unconventional economic data

The UK central bank has set up a task force to monitor the internet and social networks with a view to collecting unconventional data that would …

The First Stop in Monte Carlo (Methods): Rejection Sampling

07 Nov 2014<p>Welcome to Monte Carlo<p>Monte Carlo: site of the Formula 1 Monaco Grand Prix, home to a world-famous casino, and the one of the coolest code …

Markov Chains vs Simulation: Flipping a Million Little Coins

24 Oct 2014<p>Intro<p>I saw an interesting question on Reddit the other day. The problem was about estimating the amount of decaying radioactive isotopes …

A Data Analyst's Blog Is Transforming How New Yorkers See Their City

It may have been the fire hydrants that certified Ben Wellington as the king of New York's "open data" movement. Earlier this year Wellington pored over New York City's parking ticket data and identified two hydrants on consecutive blocks that were generating $55,000 a year in tickets, all from …

Home

2018-06-17 As some of you may know, one of my side interests is approximate nearest neighbor algorithms. I’m the author of Annoy, a library with …

Writing

Awesome Public Datasets

<b>NOTICE</b>: This repo is automatically generated by apd-core. Please <b>DO NOT</b> modify this file directly. We have provided a new way to contribute to Awesome …

Simulating Decisions to Improve Them

One of the jobs of the Data Science team is to help zulily make better decisions through data. One way that manifests itself is via experimentation. …

blog.analyzestuff.com

Recommending music on Spotify with deep learning

This summer, I’m interning at Spotify in New York City, where I’m working on content-based music recommendation using convolutional neural networks. …

Simply Statistics

I recently finished reading Steve Coll’s book Directorate S, which is a chronicle of the U.S. war in Afghanistan post 9-11. It’s a good book, and one …

ŷhat | 10 R packages I wish I knew about earlier

One of the steepest parts of the R learning curve is the syntax. It took me a while to get over using <- instead of =. I hear people say a lot of …