[MINI] Automated Feature Engineering
Data Skeptic24 Feb 2017

[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. This structure is roughly analogous to a process observed in deep learning, where each layer of the business reports up different types of observations, KPIs, and reports to be interpreted by the next layer of the business. In deep learning, this process can be thought of as automated feature engineering. DNNs built to recognize objects in images may learn structures that behave like edge detectors in the first hidden layer. Proceeding layers learn to compose more abstract features from lower level outputs. This episode explore that analogy in the context of automated feature engineering.

Linh Da and Kyle discuss a particular image in this episode. The image included below in the show notes is drawn from the work of Lee, Grosse, Ranganath, and Ng in their paper Convolutional Deep Belief Networks for Scalable Unsupervised Learning of Hierarchical Representations.

Det här avsnittet är hämtat från ett öppet RSS-flöde och publiceras inte av Podme. Det kan innehålla reklam.

Avsnitt(601)

Fraud Networks

Fraud Networks

In this episode we talk with Bavo DC Campo, a data scientist and statistician, who shares his expertise on the intersection of actuarial science, fraud detection, and social network analytics. Togethe...

1 Apr 202542min

Criminal Networks

Criminal Networks

In this episode we talk with Justin Wang Ngai Yeung, a PhD candidate at the Network Science Institute at Northeastern University in London, who explores how network science helps uncover criminal netw...

17 Mars 202543min

Graph Bugs

Graph Bugs

In this episode today's guest is Celine Wüst, a master's student at ETH Zurich specializing in secure and reliable systems, shares her work on automated software testing for graph databases. Celine sh...

10 Mars 202529min

Organizational Network Analysis

Organizational Network Analysis

In this episode, Gabriel Petrescu, an organizational network analyst, discusses how network science can provide deep insights into organizational structures using OrgXO, a tool that maps companies as ...

3 Mars 202544min

Organizational Networks

Organizational Networks

Is it better to have your work team fully connected or sparsely connected? In this episode we'll try to answer this question and more with our guest Hiroki Sayama, a SUNY Distinguished Professor and ...

25 Feb 202527min

Networks of the Mind

Networks of the Mind

A man goes into a bar… This is the beginning of a riddle that our guest, Yoed Kennet, an assistant professor at the Technion's Faculty of Data and Decision Sciences, uses to measure creativity in subj...

18 Feb 202543min

LLMs and Graphs Synergy

LLMs and Graphs Synergy

In this episode, Garima Agrawal, a senior researcher and AI consultant, brings her years of experience in data science and artificial intelligence. Listeners will learn about the evolving role of know...

10 Feb 202534min

A Network of Networks

A Network of Networks

In this episode, Bnaya Gross, a Fulbright postdoctoral fellow at the Center for Complex Network Research at Northwestern University, explores the transformative applications of network science in fiel...

4 Feb 202546min

Populärt inom Vetenskap

allt-du-velat-veta
dumma-manniskor
p3-dystopia
rss-ufobortom-rimligt-tvivel
sexet
rss-vetenskapsradion
medicinvetarna
ufo-sverige
rss-vetenskapsradion-2
svd-nyhetsartiklar
hacka-livet
det-morka-psyket
kapitalet-en-podd-om-ekonomi
halsorevolutionen
paranormalt-med-caroline-giertz
ufo-sverige-2
rss-klotet
ideer-som-forandrar-varlden
pojkmottagningen
bildningspodden