#
q
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stewdio
commented
Apr 26, 2020
We need to create a Q.History documentation page that is similar in nature to the existing Q class documentation pages. See Q-ComplexNumber.html as an example.
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
machine-learning
neural-network
clustering
naive-bayes
linear-regression
pagerank
collaborative-filtering
expectation-maximization
logistic-regression
kdb
q
k-means
decision-trees
k-nearest-neighbours
reccomendersystem
heirarchical-clustering
page-rank
neural-network-regression
neural-network-classification
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Updated
May 24, 2020 - q
Demonstration notebooks for Machine Learning
machine-learning
neural-network
notebook
jupyter-notebook
kdb
q
feature-engineering
embedpy
dimensionality
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May 12, 2020 - Jupyter Notebook
poetiq - Platform O' Electronic Trading In Q
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Jun 16, 2018 - q
Flexible, reusable reinforcement learning (Q learning) implementation in Rust
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Aug 28, 2019 - Rust
stores market data from cryptofeed to kdb+
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Updated
Feb 9, 2020 - Python
Interactive help subsystem for the q/kdb+ session
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Updated
Dec 21, 2019 - q
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I have been testing q and I've found something that could be an issue.
Issue
When I'm doing something like
round(avg(c3),3)when querying, is rounding this 32655,5265 to this 32655,526 instead of expected result: 32655,527.I think that could be an issue, or should be configurable.
Cheers.