articles-authored's People
articles-authored's Issues
Mean, variance, std dev, std err, confidence interval, confidence level
Call this Exploring Distributions
Regularization - HandonML Pg 364
Latex Style Guide
File Structure
00_main.tex
01_preamble.tex
...
00_main.tex
\newcommand{\chptroot}{.}
\newcommand{\lblroot}{dbcs}
\newcommand{\imgsroot}{images}
\newcommand{\rqOneDbcs}{What is the overhead introduced in client projects by \gk?}
\newcommand{\rqTwoDbcs}{Is automated dependency pinning an effective mechanism for resolving \gkirs?}
\newcommand{\rqThreeDbcs}{What are the performed code changes when resolving \gkirs?}
%RQs
\newcommand\rqnumberexistingscore{1\xspace}
\newcommand\rqexistingscore{Does the crowd provide enough support to viably calculate a compatibility score?}
\newcommand\rqnumberconfidenceinterval{3\xspace}
\newcommand\rqconfidenceinterval{How much trust can client developers place in the compatibility score?}
\newcommand\rqnumberothermetrics{2\xspace}
\newcommand\rqothermetrics{Which other sources of information can be considered when the crowd does not provide enough support to calculate a compatibility score?}
\newcommand{\floor}[1]{\lfloor#1\rfloor}
\newcommand{\ceil}[1]{\lceil#1\rceil}
\newcommand{\code}[1]{\texttt{#1}}
\newcommand{\quotes}[1]{``#1''}
\newcommand{\fnu}[1]{\footnote{\url{#1}}}
\newcommand{\gk}{\textsf{Greenkeeper}\xspace}
\newcommand{\npm}{\textsf{npm}\xspace}
\newcommand{\cran}{\textsf{CRAN}\xspace}
\newcommand{\eclipse}{\textsf{Eclipse}\xspace}
\newcommand{\java}{\textsf{Java}\xspace}
\newcommand{\gh}{\textsf{GitHub}\xspace}
\newcommand{\gkir}{GKIR\xspace}
\newcommand{\gkirs}{GKIRs\xspace}
\newcommand{\ir}{IR\xspace}
\newcommand{\irs}{IRs\xspace}
\newcommand{\pr}{PR\xspace}
\newcommand{\prs}{PRs\xspace}
\newcommand{\semver}{SemVer\xspace}
\newcommand{\db}{\textsf{Dependabot}\xspace}
\newcommand{\dbpr}{\db PR\xspace}
\newcommand{\dbprs}{\db \prs}
\newcommand{\cs}{\textsf{Compatibility Score}\xspace}
\newcommand{\checks}{\textsf{Checks}\xspace}
\newcommand{\travis}{\textsf{Travis CI}\xspace}
\newcommand{\ghactions}{\textsf{\gh Actions}\xspace}
\newcommand{\husky}{\textsf{Husky}\xspace}
%Reviewing
\newcommand\ben[1]{\nbc{BEN}{#1}{blue}}
\newcommand\filipe[1]{\nbc{FILIPE}{#1}{purple}}
\newcommand\bram[1]{\nbc{BRAM}{#1}{orange}}
\newcommand\ahmed[1]{\nbc{AH}{#1}{red}}
\input{\chptroot/01_preamble}
%Document
\begin{document}
% \bstctlcite{BSTcontrol}
\input{\chptroot/02_title}
\input{\chptroot/03_authors}
\input{\chptroot/04_abstract}
% Weird IEEE stuff
\maketitle
\IEEEdisplaynontitleabstractindextext
\IEEEpeerreviewmaketitle
%Sections
\input{\chptroot/05_intro}
\input{\chptroot/06_background}
\input{\chptroot/07_data}
\input{\chptroot/08_findings}
\input{\chptroot/09_discussion}
\input{\chptroot/10_related_work}
\input{\chptroot/11_threats}
\input{\chptroot/12_conclusion}
\input{\chptroot/13_acknowledgements}
% \bibliographystyle{IEEEtranN} % basic style, author-year citations
\bibliographystyle{BensIEEEtranN}
\bibliography{dbcs_references.bib}
\newpage
\input{\chptroot/14_bios}
\newpage
\begin{appendices}
\input{\chptroot/99_app_ci_name_regex}
\input{\chptroot/99_app_tuple_datasets}
\input{\chptroot/99_app_ci_calculation}
\end{appendices}
\end{document}
Labeling Style
Sections: \label{\lblroot:findings:existing_score}
Figures: \label{\lblroot:fig:score_distributions}
scheduled GH action
Using jest
things from grokking algorithms
Latex tables/tabularx
CART -> Classification and Regression Tree algorithm
Hands on ML Pg 179
Shell script utilities - Pg 308 & 39
Gini index -> maybe overarching category of clustering or decision trees?
Gini -> Handsonml pg 177
entropy -> Handson ml PG 180
Describe Datatable in Markdown
See GKIR and DBCS notebooks
Snyk Interview
Closures
Deep learning network layers
e.g. fully connects, sigmoid function, pooling, convolution
see handsonml pg 460 CNN architectures for a good list
Quick tour of Tensorflow
HandonML Pg 376
Architecture & System Design
Clean Architecture
Residuals, R^2, correlation, linear regression
Depebdabot configuration
GH Actions full explanation
- events
- jobs
- runs on
- environments
- secrets
- steps
- uses
- runs
- name
Progress bars in jupyter
Bonus:
import sys
!{sys.executable} -m pip install ipywidgets
!{sys.executable} -m jupyter labextension install @jupyter-widgets/jupyterlab-manager
from tqdm.notebook import tqdm, trange
import time
use like:
for idx, row in tqdm(df.iterrows())
and
df.progress_apply()
Team Topologies - Conclusion
Linux directory hierarchy essentials
Pg 42
Package.json & package-lock.json
Principle component analysis
Hands On ML Pg 220
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. ๐๐๐
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google โค๏ธ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.