The Library Problem
Data Skeptic30 Des 2016

The Library Problem

We close out 2016 with a discussion of a basic interview question which might get asked when applying for a data science job. Specifically, how a library might build a model to predict if a book will be returned late or not.

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Episoder(601)

Data Science at Patreon

Data Science at Patreon

In this week's episode of Data Skeptic, host Kyle Polich talks with guest Maura Church, Patreon's data science manager. Patreon is a fast-growing crowdfunding platform that allows artists and creators...

31 Mar 201732min

[MINI] Feed Forward Neural Networks

[MINI] Feed Forward Neural Networks

Feed Forward Neural Networks In a feed forward neural network, neurons cannot form a cycle. In this episode, we explore how such a network would be able to represent three common logical operators: OR...

24 Mar 201715min

Reinventing Sponsored Search Auctions

Reinventing Sponsored Search Auctions

In this Data Skeptic episode, Kyle is joined by guest Ruggiero Cavallo to discuss his latest efforts to mitigate the problems presented in this new world of online advertising. Working with his collab...

17 Mar 201741min

[MINI] The Perceptron

[MINI] The Perceptron

Today's episode overviews the perceptron algorithm. This rather simple approach is characterized by a few particular features. It updates its weights after seeing every example, rather than as a batch...

10 Mar 201714min

The Data Refuge Project

The Data Refuge Project

DataRefuge is a public collaborative, grassroots effort around the United States in which scientists, researchers, computer scientists, librarians and other volunteers are working to download, save, a...

3 Mar 201724min

[MINI] Automated Feature Engineering

[MINI] Automated Feature Engineering

If a CEO wants to know the state of their business, they ask their highest ranking executives. These executives, in turn, should know the state of the business through reports from their subordinates....

24 Feb 201716min

Big Data Tools and Trends

Big Data Tools and Trends

In this episode, I speak with Raghu Ramakrishnan, CTO for Data at Microsoft.  We discuss services, tools, and developments in the big data sphere as well as the underlying needs that drove these innov...

17 Feb 201730min

[MINI] Primer on Deep Learning

[MINI] Primer on Deep Learning

In this episode, we talk about a high-level description of deep learning.  Kyle presents a simple game (pictured below), which is more of a puzzle really, to try and give  Linh Da the basic concept.  ...

10 Feb 201714min

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