Edited, memorised or added to reading list

on 07-Jun-2022 (Tue)

Do you want BuboFlash to help you learning these things? Click here to log in or create user.

Flashcard 7092601752844

Tags
#DAG #causal #edx #has-images
[unknown IMAGE 7092603849996]
[unknown IMAGE 7092593888524]

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

pdf

cannot see any pdfs







Flashcard 7093300366604

Tags
#DAG #causal #edx #has-images
[unknown IMAGE 7093300890892]
[unknown IMAGE 7093292240140]

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

pdf

cannot see any pdfs







The CX programs of the future will be holistic, predictive, precise, and clearly tied to business outcomes
statusnot read reprioritisations
last reprioritisation on suggested re-reading day
started reading on finished reading on


Parent (intermediate) annotation

Open it
The CX programs of the future will be holistic, predictive, precise, and clearly tied to business outcomes. Evidence suggests that the advantages will be substantial for companies that start building the capabilities, talent, and organizational structure needed for this transition. Those tha

Original toplevel document (pdf)

cannot see any pdfs




Flashcard 7095261203724

Tags
#causality #statistics
Question

Definition 3.4 (d-separation) Two (sets of) nodes 𝑋 and 𝑌 are d-separated by a set of nodes 𝑍 if [...] of the paths between (any node in) 𝑋 and (any node in) 𝑌 are blocked by 𝑍

Source: Pearl (1988), Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference

Answer
all

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Parent (intermediate) annotation

Open it
Definition 3.4 (d-separation) Two (sets of) nodes 𝑋 and 𝑌 are d-separated by a set of nodes 𝑍 if all of the paths between (any node in) 𝑋 and (any node in) 𝑌 are blocked by 𝑍 Source: Pearl (1988), Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference </

Original toplevel document (pdf)

cannot see any pdfs







Flashcard 7095263038732

Tags
#GAN #data #sequential #synthetic
Question
Generating synthetic time-series and sequential data is more challenging than tabular data where normally all the information regarding one individual is stored in a single row. In sequential data, information can be spread through [...], like credit card transactions, and preservation of correlations between rows — the events — and columns — the variables is key. Furthermore, the length of the sequences is variable; some cases may comprise just a few transactions while others may have thousands.
Answer
many rows

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Parent (intermediate) annotation

Open it
equential data is more challenging than tabular data where normally all the information regarding one individual is stored in a single row. In sequential data, information can be spread through <span>many rows, like credit card transactions, and preservation of correlations between rows — the events — and columns — the variables is key. Furthermore, the length of the sequences is variable; so

Original toplevel document (pdf)

cannot see any pdfs







Flashcard 7095264873740

Tags
#GAN #data #sequential #synthetic
Question
we describe and apply an extended version of a recent powerful method to generate synthetic sequential data — [...]. It is a framework based on Generative Adversarial Networks (GANs) with some innovations that make possible the generation of synthetic versions of complex sequential datasets.
Answer
DoppelGANger

statusnot learnedmeasured difficulty37% [default]last interval [days]               
repetition number in this series0memorised on               scheduled repetition               
scheduled repetition interval               last repetition or drill

Parent (intermediate) annotation

Open it
we describe and apply an extended version of a recent powerful method to generate synthetic sequential data — DoppelGANger. It is a framework based on Generative Adversarial Networks (GANs) with some innovations that make possible the generation of synthetic versions of complex sequential datasets. <

Original toplevel document (pdf)

cannot see any pdfs