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San Francisco - A City Full of Psychopaths?

Exploring San Francisco police incident data and visualizing the density distribution of incidents involving mentally ill individuals using Pivot Billions and Tableau.…

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Added by Benjamin Waxer on February 6, 2019 at 8:06am — No Comments

Evolution of Chatbots & their Performance

Chatbots are the hot thing right now. Many surveys claim that XX% of companies plan to deploy a chatbot in Y years. Consider the infographic below that describes the chatbot market value in the US in a million dollars

However, where did it all start? Where are we now? In this article, we try to answer these questions.

 

ELIZA

Joseph Weizenbaum, a German professor of Computer Science at the Massachuset…

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Added by Divya Singh on February 6, 2019 at 4:00am — No Comments

Survey on the use of process models in Data Mining

Dear all,

I am researching the general use of process models in Data Mining projects. In case you have already participate in a Data Mining project in any role I would like to ask you to support my analysis.

It just takes up to 5…

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Added by Silke Michelle Wildenberg on February 5, 2019 at 11:35pm — No Comments

A Blast from Python Past -- Part 2

Last week I posted the first of a three-part series on basic data programming with Python. For that article, I resurrected scripts written 10 years ago that deployed core Python data structures and functions to assemble a Python list for…

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Added by steve miller on February 5, 2019 at 7:55am — No Comments

Gambler's Ruin simulations

PREFACE



This article has 4 sections:

  1. Introduction: Introduction to the gambler's ruin problem
  2. Methodology: How the simulation will be carried out
  3. Pseudocode: Summary of the Python Code
  4. Theory: A summary of the theory



The full code and theory can be found here: …

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Added by Tansel Arif on February 5, 2019 at 4:55am — No Comments

Intro to Robotic Process Automation

Majority of modern companies deal with processes which they want to be automated. This need can be caused by various reasons, in particular, due to the routine, repetitive and boring nature of manual processes. Another shortcoming is that such processes often require a lot of time and human resources; additionally, office…

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Added by Igor Bobriakov on February 5, 2019 at 2:32am — No Comments

Top 10 Data Science Use cases in Telecom

In the course of time, data science has proved its high value and efficiency. Data scientists find more and more new ways to implement big data solutions in daily life. Nowadays data is a fuel needed for a successful company.

Telecommunication companies are not an exception. Due to these…

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Added by Igor Bobriakov on February 5, 2019 at 1:55am — No Comments

Advanced Analytic Platforms – Incumbents Fall – Challengers Rise

This article is currently under revision.

Added by William Vorhies on February 4, 2019 at 9:30am — 2 Comments

12 Great Curated Blogs About Data Science

The following articles were hand-picked, and curated by one of our interns. They cover dozens of topics of interest to data scientists. 

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Added by Vincent Granville on February 3, 2019 at 2:30pm — 1 Comment

Weekly Digest, February 4

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link.  

Announcements…

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Added by Vincent Granville on February 3, 2019 at 10:00am — No Comments

Probability Cheat Sheet - Harvard University

Below is an extract of a 10-page cheat sheet about probability, compiled by William Chen (http://wzchen.com) and Joe Blitzstein, with contributions from Sebastian Chiu, Yuan Jiang, Yuqi Hou, and Jessy Hwang. Material based on Joe Blitzstein’s Harvard's introductory probability course (@stat110 - (http://stat110.net) and Blitzstein / Hwang’s Introduction to Probability textbook (…

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Added by Capri Granville on February 3, 2019 at 8:00am — No Comments

3 Types of Regression in One Picture

Interesting picture comparing linear, logistic and Poisson regression. For more about regression, read our other articles on this subject, here. For other ML concepts summarized in one picture, follow this link. …

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Added by Capri Granville on February 3, 2019 at 8:00am — No Comments

#DevOps for Machine Learning (#ML / #AI)

Until very recently, most organizations have seen two distinct, non-overlapping work streams when building an AI enabled application: a development path and a data science path.

Often, both groups are actually building similarly scripted functional solutions using something like python or C/F#. Further, once a data scientist finishes the evaluation and…

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Added by Laura Edell on February 2, 2019 at 12:35pm — No Comments

Alternatives to Logistic Regression

Logistic regression (LR) models estimate the probability of a binary response, based on one or more predictor variables. Unlike linear regression models, the dependent variables are categorical. LR has become very popular, perhaps because of the wide availability of the procedure in software. Although LR is a good choice for many situations, it doesn't work well for all situations. For example:

  • In propensity score analysis where there are many…
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Added by Stephanie Glen on February 2, 2019 at 6:55am — No Comments

Reinforcement Learning: Coming to a Home Called Yours!

I loved playing StarCraft, though I seldom played against other humans (my sons in particular, because they absolutely kick my butt).  But ah, there is finally revenge for “Dad the Data Nerd”, and it’s known as AlphaStar.  AlphaStar was developed by Google’s DeepMind AI group to leverage artificial intelligence (AI)…

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Added by Bill Schmarzo on February 1, 2019 at 2:40pm — No Comments

31 Statistical Concepts Explained in Simple English - Part 8

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on…

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Added by Vincent Granville on February 1, 2019 at 6:00am — 1 Comment

Top 3 AI use cases in Agriculture : Which will impact yield outcomes in 2019

Introduction

Agriculture is a major segment powering the Asian economy. A small transformation in agricultural outcomes can have a huge impact on 2 dimensions – economic and human. Keeping this in mind CANOPY ONE  brings to you our pick of the top 3 use cases which would have a massive impact. So here they come.

 

Agriculture AI use case-1: Early detection of pests, disease and…

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Added by Mahesh Kumar CV on February 1, 2019 at 5:12am — No Comments

Thursday News: ML Coding, Classification, Regression Trees, Python, AI, Case Studies

Here is our selection of featured articles, technical contributions, and forum questions posted since Monday:

Technical Contributions

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Added by Vincent Granville on January 31, 2019 at 10:00am — No Comments

Classification and Regression Trees

Learn about CART in this guest post by Jillur Quddus, a lead technical architect, polyglot software engineer and data scientist with over 10 years of hands-on experience in architecting and engineering distributed, scalable, high-performance, and secure solutions used to combat serious organized crime, cybercrime, and fraud.

Although both linear regression models allow and logistic regression models allow us to predict a categorical outcome, both of these models assume…

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Added by Packt Publishing on January 31, 2019 at 4:09am — No Comments

Learn #MachineLearning Coding Basics in a weekend – a new approach to coding for #AI

image source - wikipedia

UPDATE

Hello all

we are now closing this 

we have been…

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Added by ajit jaokar on January 30, 2019 at 12:00pm — 295 Comments

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