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1Personal Portfolio Website
I am a skilled freelancer. I deliver work as per my customer's needs.I am also a teacher. I have 12 years experience in teaching.I design graphics, design logos and banners with Canva, create and manage YouTube channels, and have considerable expertise in local SEO.
a month ago by @basicit
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1Sed Tips and Tricks
https://www.thegeekstuff.com/tag/sed-tips-and-tricks/
11 months ago by @jil
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1PSPP for Beginners
https://www.garyfisk.com/pspp/index.html
12 months ago by @jepcastel
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1(59) Valem Tutorials - YouTube
https://www.youtube.com/@ValemTutorials/videos
a year ago by @becker
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1Rhino Farm Grasshopper Tutorials
https://rhinofarm.de/rhino-grasshopper-tutorials/
2 years ago by @schmitz
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3dmodeling
grasshopper
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1How to be a Better Programmer: the Mini Guide
a collection of resources for improving your programming skills and move from scripting programming to OOP
3 years ago by @francescolelli
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programming
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oopprogrammerprogrammingtutorials
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6W3Schools Online Web Tutorials
W3Schools to witryna edukacyjna do nauki kodowania online. Zawartość obejmuje samouczki i odniesienia dotyczące HTML, CSS, JavaScript, JSON, PHP, Python, AngularJS, React.js, SQL, Bootstrap, Sass, Node.js, jQuery, XQuery, AJAX, XML, Active Server Pages, R, Raspberry Pi, C ++, C # i Java.
3 years ago by @natalkaplu
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++
AJAX
Active
AngularJS
Bootstrap
C
CSS
HTML
JS
JSON
Java
Node.js
PHP
Pages
Python
R
Raspberry_Pi
React.js
SQL
Sass
Server
XML
XQuery
jQuery
kursy
nauka
projektowanie_stron_internetowych
samouczki
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w3schools
#++AJAXActiveAngularJSBootstrapCCSSHTMLJSJSONJavaNode.jsPHPPagesPythonRRaspberry_PiReact.jsSQLSassServerXMLXQueryjQuerykursynaukaprojektowanie_stron_internetowychsamouczkitutorialsw3schools
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1A collection of tutorials for becoming a better researcher
A collection of Mini Guides and Tutorials that will help you in understanding aspects of programming, economics as well as building a better thesis
3 years ago by @francescolelli
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1Data Storytelling for Learning Analytics Dashboards
LAK21 – Tutorial
3 years ago by @ereidt
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1Palaeography tutorial (how to read old handwriting)
https://www.nationalarchives.gov.uk/palaeography/default.htm
4 years ago by @braco
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kodikologija-i-paleografija
tutorials
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2Getting to Grips with Latex
http://www.comp.leeds.ac.uk/andyr/misc/latex/
4 years ago by @selm
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Lesezeichen-Symbolleiste
public
eL3€7
userland
essentials
textediting
TeX
tutorials
Lesezeichen-SymbolleistepubliceL3€7userlandessentialstexteditingTeXtutorials
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7Text Processing Using Latex
http://www-h.eng.cam.ac.uk/help/tpl/textprocessing/
4 years ago by @selm
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Lesezeichen-Symbolleiste
public
eL3€7
userland
essentials
textediting
TeX
tutorials
Lesezeichen-SymbolleistepubliceL3€7userlandessentialstexteditingTeXtutorials
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1The Not So Short Introduction to Latex [pdf]
http://people.ee.ethz.ch/~oetiker/lshort/lshort.pdf
4 years ago by @selm
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Lesezeichen-Symbolleiste
public
eL3€7
userland
essentials
textediting
TeX
tutorials
Lesezeichen-SymbolleistepubliceL3€7userlandessentialstexteditingTeXtutorials
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1Wikipediastart - Online-Kurs zum Einstieg in die Wikipedia
https://wikipediastart.de/
4 years ago by @voss
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wiki
tutorialswiki
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1VaNTAGe math
Virtual Math seminar on open conjectures on number theory and geometry
4 years ago by @kirk86
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1HOW TO: Detect Ghostwriting and get Quick Results with PlagScan's "Author Metrics" - YouTube
This tutorial shows how to use the Author Metrics feature. It is our ghostwriting detection and stylomtery analysis tool within PlagScan
4 years ago by @ereidt
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ghostwriting
learninganalytics
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authorsghostwritinglearninganalyticsmetricsplagiarismtutorialsvideo
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1Mathematical Methods for Arbitrary Data Sources (MADS)
Session I | Mathematical Methods for Arbitrary Data Sources (MADS)
4 years ago by @kirk86
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mathematicsslidestutorialswebsite
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1RL theory seminars
RL theory seminars
4 years ago by @kirk86
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reinforcement-learning
theory
tutorials
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1Math Video Lectures
Math Video Lectures
4 years ago by @kirk86
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tutorials
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lecturemathematicstutorialswebsite
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1Intro Tutorials for Engineers - UVM Libraries Research Guides at UVM Libraries
Great tutorials - patents, standards, literature searching
4 years ago by @danielle.dennie
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engineering
tutorials
engineeringtutorials
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2Advice on writing research papers
Advice on writing research papers
4 years ago by @kirk86
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notes
research
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writing
advicenotesresearchtutorialswriting
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1100 Best Websites for Mathletes - OnlineUniversities.com
100 Best Websites for Mathletes - OnlineUniversities.com
4 years ago by @kirk86
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notes
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mathematicsnotestutorialswebsite
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2Sketching Algorithms for Big Data
Sketching Algorithms for Big Data Website Links & Resources
4 years ago by @kirk86
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1Sait Celebi
Website Tutorial
4 years ago by @kirk86
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tutorials
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1Stochastic Approximation
Stochastic Approximation Method, Robbins & Monro
4 years ago by @kirk86
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notes
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readings
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4The Missing Semester of Your CS Education · the missing semester of your cs education
CS Tools for Anyone
4 years ago by @kirk86
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1Probabilistic Circuits Stanford 2019
Probabilistic Circuits Stanford 2019
4 years ago by @kirk86
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graphs
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probability
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2Graduate Summer School: Intelligent Extraction of Information from Graphs and High Dimensional Data (Schedule) - IPAM
Graduate Summer School: Intelligent Extraction of Information from Graphs and High Dimensional Data (Schedule) - IPAM
4 years ago by @kirk86
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bayesian
energy-models
lecture
notes
probability
slides
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bayesianenergy-modelslecturenotesprobabilityslidesstatstutorials
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1IJCAI-17 Tutorial: Energy-based machine learning - IBM
Energy Based Models Tutorial
4 years ago by @kirk86
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1Energy Based Models
Energy Based Models LeCunn
4 years ago by @kirk86
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1Emtiyaz Khan's Homepage
Variational Inference Tutorial
4 years ago by @kirk86
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neurips2019
optimization
slides
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neurips2019optimizationslidestutorialsvariational
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1Tutorials on Sampling and Variational Inference
Tutorials on Sampling and Variational Inference
4 years ago by @kirk86
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slides
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variational
website
informationslidestutorialsvariationalwebsite
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1Probability and Stats Course
Probability and Stats Course
4 years ago by @kirk86
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lecture
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probability
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stats
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1Probabilistic Unsupervised Learning NIPS Tutorial
Probabilistic Unsupervised Learning NIPS Tutorial
4 years ago by @kirk86
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bayesian
nips1999
probability
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1Probabilistic Deep Learning MLSS2019-Madrid
Probabilistic Deep Learning
4 years ago by @kirk86
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bayesian
probability
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bayesianprobabilityslidestutorials
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1Probabilistic Models RAAIS2018
Probabilistic Models
4 years ago by @kirk86
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probability
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bayesianprobabilityslidestutorials
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1Probabilistic Models DALI2018 keynote
Probabilistic Models
4 years ago by @kirk86
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probability
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bayesianprobabilityslidestutorials
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1Deep Generative Models Tutorial
Deep Generative Models Tutorial
4 years ago by @kirk86
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bayesian
generative-models
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1Variational Inference Tutorial NIPS 2016
Variational Inference Tutorial NIPS 2016
4 years ago by @kirk86
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slides
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1Variational Inference Tutorial
Variational Inference Tutorial
4 years ago by @kirk86
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bayesian
slides
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1Blei Variational Inferenc tutorial
Black Box Variational Inference
4 years ago by @kirk86
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1Old and New Matrix Algebra Useful for Statistics
Old and New Matrix Algebra Useful for Statistics
4 years ago by @kirk86
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2David W. Aha: Machine Learning Page
Machine Learning Resources
4 years ago by @kirk86
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1A Statistical Learning/Pattern Recognition Glossary
A Statistical Learning/Pattern Recognition Glossary Course
4 years ago by @kirk86
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1Probabilistic Models @ Brown CS295P Spring 2013 S
Probabilistic Models Course @ Brown
4 years ago by @kirk86
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1Probability FIN252E - ITU - StuDocu
Website for Solutions Manuals
4 years ago by @kirk86
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1Tutorial on PAC Bayes NIPS 2017
Tutorial on PAC Bayes NIPS 2017
5 years ago by @kirk86
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nips2017
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1A Primer on PAC-Bayesian Learning
A Primer on PAC-Bayesian Learning Tutorial
5 years ago by @kirk86
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icml2019
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1Create an epsilon of room | Tricki
Tricks and Tips solving math problems
5 years ago by @kirk86
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1Gaussian Processes: From the Basics to the State-of-the-Art
Gaussian Processes: From the Basics to the State-of-the-Art
5 years ago by @kirk86
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1ICML 2011, The 28th International Conference on Machine Learning - Bellevue, Washington
Tutorials on Bandits and Kernels
5 years ago by @kirk86
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1EE 227C (Spring 2018) Convex Optimization and Approximation
EE227C (Spring 2018) Course page on Convex Optimization and Approximation
5 years ago by @kirk86
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convex
course
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1Introduction to the Bootstrap
Introduction to the Bootstrap, Stats Theory
5 years ago by @kirk86
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1Properties of Random Variables
Properties of Random Variables
5 years ago by @kirk86
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probabilitystatstutorials
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1Writing Mathematics Research
Writing Mathematics Research
5 years ago by @kirk86
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advicemathematicstutorials
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1Mathematical Writing
Mathematical Writing by D.Knuth
5 years ago by @kirk86
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1Advice on writing math research papers
Advice on writing math research papers
5 years ago by @kirk86
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1How to Write Maths
How to write papers in mathematics research!
5 years ago by @kirk86
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1CSE 515 - Statistical Methods in Computer Science - Spring 2009
Statistical Methods in Computer Science - Spring 2009
5 years ago by @kirk86
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course
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2History of Approximation Theory
History of Approximation Theory
5 years ago by @kirk86
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tutorialswebsite
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1Teaching - Homepage of Gabriel Peyré
Resources on Mathematical Foundations of Data Science
5 years ago by @kirk86
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1My introductory course on Bayesian statistics - Publishable Stuff
Introductory course on Bayesian statistics - Publishable Stuff
5 years ago by @kirk86
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blogcoursetutorialswebsite
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1About | Steven Morse
Blog about R and Python
5 years ago by @kirk86
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tutorials
blogtutorials
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1Emacs and the Language Server Protocol | Morten's Dev
How to setup Emacs to use LSP with C++, Python, and Rust
5 years ago by @kirk86
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emacs
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blogemacstutorialswebsite
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1Configuring Emacs, lsp-mode and Microsoft's Visual Studio Code Python language server. - vxlabs
Configuring Emacs, lsp-mode and Microsoft's Visual Studio Code Python language server. - vxlabs
5 years ago by @kirk86
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emacs
tutorials
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blogemacstutorialswebsite
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1Machine learning with kernel methods, 2019
Machine learning with kernel methods, 2019
5 years ago by @kirk86
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kernels
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coursekernelstutorialswebsite
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1Structurally Constrained Gaussian Processes
Structurally Constrained Gaussian Processes and Uncertainty Summer School
5 years ago by @kirk86
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1tlienart.github.io
Nice blog post notes on ML and convex optimization
5 years ago by @kirk86
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1Foundational Skills on Stats and Maths - Blog
Foundational Skills on Stats and Maths - Blog
5 years ago by @kirk86
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tutorials
blogtutorials
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2Causal Data Science: A general framework for data fusion and causal inference
Causal Data Science: A general framework for data fusion and causal inference - MIT August 2019
5 years ago by @kirk86
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lecture
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1An introduction to data analysis using the PyMC3 probabilistic programming framework: A case study with Gaussian Mixture Modeling
An introduction to data analysis using the PyMC3 probabilistic programming framework: A case study with Gaussian Mixture Modeling
5 years ago by @kirk86
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1Mathematical Tours - Mathematical Tours of Data Sciences
Mathematical Tour of Data Sciences by Gabriel Peyré
5 years ago by @kirk86
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blogcoursemathematicstutorialswebsite
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2Numerical Tours - A Numerical Tour of Data Science
The Numerical Tours of Data Sciences, by Gabriel Peyré, gather Matlab, Python and Julia experiments to explore modern data science.
5 years ago by @kirk86
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1Collection of Notes and Topics on Statistical Physics Built from Scratch
Collection of Notes and Topics on Statistical Physics Built from Scratch
5 years ago by @kirk86
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blog
machine-learning
physics
stats
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blogmachine-learningphysicsstatstutorials
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1Unity of Knowledge and Practice
Machine Learning Blog Post
5 years ago by @kirk86
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blog
machine-learning
tutorials
blogmachine-learningtutorials
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1Review Notes on Matrix Calculus
Stats and Matrix Calculus Course
5 years ago by @kirk86
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1Summer School PAISS in Paris
Summer School PAISS in Paris
5 years ago by @kirk86
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summer-schoolstutorialswebsite
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1Statlect, the digital textbook
Hundreds of lectures on probability and statistics, with examples and solved exercises. Rigorous, but easy to understand. Ideal for self-study.
5 years ago by @kirk86
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book
lecture
stats
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booklecturestatstutorialswebsite
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1Handbook of Numerical Analysis | All Handbook Volumes | ScienceDirect.com
Handbook of Numerical Analysis | All Handbook Volumes | ScienceDirect.com
5 years ago by @kirk86
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book
mathematics
tutorials
bookmathematicstutorials
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1Stefan Fiott
Tutorials on ML and various topics
5 years ago by @kirk86
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blog
machine-learning
pytorch
tutorials
blogmachine-learningpytorchtutorials
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1Pytorch Tutorials Vision Lab Virginia
Pytorch Tutorials Vision Lab Virginia
5 years ago by @kirk86
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pytorch
tutorials
website
pytorchtutorialswebsite
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1Blog posts about ML and pytorch
Blog posts about ML and pytorch
5 years ago by @kirk86
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pytorch
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blogpytorchtutorials
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1Rank-normalization, folding, and localization: An improved \widehat{R} for assessing convergence of MCMC (online appendix)
Rank-normalization, folding, and localization: An improved \widehat{R} for assessing convergence of MCMC (online appendix)
5 years ago by @kirk86
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1Using learning analytics in personal tutorials: breaking into students’ consciousness – Living Learning Analytics Blog
This short piece is about how the use of learning analytics data might break into students’ consciousness and help overcome innate resistance to change
5 years ago by @ereidt
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consciousness
engagement
evidence
learninganalytics
students
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consciousnessengagementevidencelearninganalyticsstudentstutorials
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1Parametric vs Nonparametric
Parametric vs Nonparametric models MLSS 2015
5 years ago by @kirk86
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bayesian
non-parametric
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1Online Algorithms for Prediction and Uncertainty
Online Algorithms for Prediction and Uncertainty
5 years ago by @kirk86
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1Videos « Simons Center for Mathematics of Networks
Videos « Simons Center for Mathematics of Networks
5 years ago by @kirk86
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1NumPy resources
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5 years ago by @kirk86
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1NLP Probabilistic Tutorial
Bayesian Probabilistic NLP Tutorial
5 years ago by @kirk86
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1The Gaussian Processes Web Site
Gaussian Proccesses Website
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1Toronto Deep Learning Tutorials
Deep Learning Tutorials Toronto
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1Maxim Raginsky
Maxim Raginsky - Courses on Statistical Learning Theory and Random Processes
5 years ago by @kirk86
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1CSC321 Winter 2015: Introduction to Neural Networks
Introduction to Neural Networks Course 2015
5 years ago by @kirk86
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1Martin Haugh's Web Page
Good Resources About Courses on Bayesian Methods and MCMC
5 years ago by @kirk86
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1Publication Listing of Probability Course at Harvard
Publication Listing of Probability Course at Harvard
5 years ago by @kirk86
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1Softmax Derivative Derivation
softmax derivative derivation
5 years ago by @kirk86
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1Custom Dashboards in Veracity Learning
Veracity Learning Technology Consultants: xAPI, LRS, Learning Technology Software and Services
5 years ago by @ereidt
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1Graduate Research, Writing, and Careers in Computer Science
http://web.cs.iastate.edu/~honavar/grad-advice.html
5 years ago by @kirk86
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1A Recipe for Training Neural Networks
https://karpathy.github.io/2019/04/25/recipe/
5 years ago by @kirk86
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19.520/6.860, Fall 2018
http://www.mit.edu/~9.520/fall18/
5 years ago by @kirk86
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1Creation of Cases on the Basis of Video Materials use of Video Materials in Education
I. Najmitdinovna. International Journal on Orange Technologies, 3 (12): 183-186 (December 2021)
2 years ago by @researchpark_20
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2A guide to Brownian motion and related stochastic processes
J. Pitman, and M. Yor. (2018)cite arxiv:1802.09679Comment: 101 pages.
3 years ago by @kirk86
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1Deep Learning with Bayesian Principles
K. Emtiyaz. (2019)
4 years ago by @kirk86
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1Ten Lectures and Forty-Two Open Problems in the Mathematics of Data Science
A. Bandeira. (2016)
4 years ago by @kirk86
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3Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
S. Levine, A. Kumar, G. Tucker, and J. Fu. (2020)cite arxiv:2005.01643.
4 years ago by @kirk86
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1asdfsf
asdfsf. (1997)
4 years ago by @kirk86
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2Bag of Tricks for Image Classification with Convolutional Neural Networks
T. He, Z. Zhang, H. Zhang, Z. Zhang, J. Xie, and M. Li. (2018)cite arxiv:1812.01187Comment: 10 pages, 9 tables, 4 figures.
4 years ago by @kirk86
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1A short note on learning discrete distributions
C. Canonne. (2020)cite arxiv:2002.11457Comment: This is a review article; its intent is not to provide new results, but instead to gather known (and useful) ones, along with their proofs, in a single convenient location.
4 years ago by @kirk86
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1A Tutorial on Fisher Information
A. Ly, M. Marsman, J. Verhagen, R. Grasman, and E. Wagenmakers. (2017)cite arxiv:1705.01064.
4 years ago by @kirk86
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1Tutorial: Information Theory and Statistics
B. Yu. (2008)
4 years ago by @kirk86
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1A Gentle Introduction to the Dirichlet Process, the Beta Process and Bayesian Nonparametrics
M. Jordan, and Y. Teh. (2015)
4 years ago by @kirk86
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1A tutorial on Dirichlet process mixture modeling
Y. Li, E. Schofield, and M. Gönen. Journal of Mathematical Psychology, (2019)
4 years ago by @kirk86
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1LECTURE NOTES FOR COMPUTATIONAL COMPLEXITY
A. Wigderson. (2010)
4 years ago by @kirk86
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1Operator Scaling: Theory, Applications and Connections
A. Wigderson. (2017)
4 years ago by @kirk86
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4A Tutorial on Thompson Sampling
D. Russo, B. Roy, A. Kazerouni, I. Osband, and Z. Wen. (2018)
4 years ago by @kirk86
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1The Complexity of Error-Correcting Codes
D. Spielman. (2000)
4 years ago by @kirk86
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1A Strongly Quasiconvex PAC-Bayesian Bound
N. Thiemann, C. Igel, O. Wintenberger, and Y. Seldin. (2016)cite arxiv:1608.05610.
4 years ago by @kirk86
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5A Bayesian Perspective on Generalization and Stochastic Gradient Descent
S. Smith, and Q. Le. (2017)cite arxiv:1710.06451Comment: 13 pages, 9 figures. Published as a conference paper at ICLR 2018.
4 years ago by @kirk86
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2A PAC-Bayesian Tutorial with A Dropout Bound
D. McAllester. (2013)cite arxiv:1307.2118.
4 years ago by @kirk86
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1PAC-Bayes Mini-tutorial: A Continuous Union Bound
T. van Erven. (2014)cite arxiv:1405.1580.
4 years ago by @kirk86
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