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kintopp : statistics   48

The MLIF Book — Machine Learning is Fun!
Machine Learning is Fun! The Book This book is for anyone who is curious about machine learning and artificial intelligence. via Pocket
books  dev  howto  learn  python  statistics  ml 
may 2019 by kintopp
Geographical Models with Mathematica - 1st Edition
Geographical Models with Mathematica provides a fairly comprehensive overview of the types of models necessary for the development of new geographical knowledge, including stochastic models, models for data analysis, for geostatistics, for networks, for dynamic systems, for cellular automata and for multi-agent systems, all discussed in their theoretical context.
books  geo  wolfram  statistics  simulations 
july 2018 by kintopp
GitHub - COMHIS/estc: ESTC analytics
This is an algorithmic toolkit for R, designed for transparent quantitative analysis of the British Library English Short Title Catalogue (ESTC) data collection. The package is under active, open development; the tools, analysis, and documentation are preliminary and constantly updated. via Pocket
analysis  bibliography  books  datasets  dev  lists  metadata  statistics  uk 
may 2018 by kintopp
Towards Data Science
Towards Data Science. Sharing concepts, ideas, and codes
algorithm  learn  resources  statistics  ml 
january 2018 by kintopp
Excel vs R: A Brief Introduction to R
Quantitative research often begins with the humble process of counting. Historical documents are never as plentiful as a historian would wish, but counting words, material objects, court cases, etc. can lead to a better understanding of the sources and the subject under study. via Pocket
excel  learn  statistics 
october 2017 by kintopp
Machines Learn and You Can Too
It has taken me some time to build up the courage to dig into machine learning. It can be difficult to learn on your own because of the mathematical terminology that is frequently used to teach the concepts. I’m here to give you hope. You can do it. via Pocket
learn  statistics  ml 
september 2017 by kintopp
Learn Data Science by nborwankar
Who Nitin Borwankar http://twitter.com/nitin - primary developer (Sponsored by Pivotal Inc. and Alpine Data Labs). What A collection of Data Science Learning materials in the form of IPython Notebooks. Associated data sets. via Pocket
analysis  data  learn  python  statistics 
september 2017 by kintopp
Narrative Science | Natural Language Generation Technology
USAA prides itself on member engagement. Quill helps USAA scale personalization to its members by automating custom narratives through the power of advanced natural language generation. Working with Narrative Science enabled us to go to market very quickly. via Pocket
language  narrative  statistics  tools 
may 2017 by kintopp
GitHub - simplenlg/simplenlg: Java API for Natural Language Generation. Originally developed at the University of Aberdeen's Department of Computing Science. This git repo is the official SimpleNLG version.
SimpleNLG is a simple Java API designed to facilitate the generation of Natural Language. It was originally developed at the University of Aberdeen's Department of Computing Science. The discussion list for SimpleNLG is on Google Groups. via Pocket
language  statistics  tools  visualization 
may 2017 by kintopp
Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing (The Datasaurus Dozen) | Autodesk Research
...make both calculations and graphs. Both sorts of output should be studied; each will contribute to understanding. It can be difficult to demonstrate the importance of data visualization. via Pocket
interactive  methodology  publishing  statistics  visualization 
may 2017 by kintopp
Network science and statistical techniques for dealing with uncertainties in archaeological datasets
This markdown document provides code and detailed examples associated with the Computer Applications and Quantitative Methods in Archaeology Workshop hosted by Matt Peeples and Tom Brughmans on March 13th, 2017 in Atlanta at Georgia State University. via Pocket
metadata  networks  quality  statistics 
april 2017 by kintopp
Frascati Manual - OECD
The internationally recognised methodology for collecting and using R&D statistics, the OECD's Frascati Manual is an essential tool for statisticians and science and innovation policy makers worldwide. via Pocket
datasets  howto  research  statistics 
march 2017 by kintopp
Seeing Theory
Seeing Theory is a project designed and created by Daniel Kunin with support from Brown University's Royce Fellowship Program. The goal of the project is to make statistics more accessible to a wider range of students through interactive visualizations. via Pocket
learn  statistics  teach  theory  visualization 
march 2017 by kintopp
Top Stories, Nov 14-20: How Bayesian Inference Works; Data Science and Big Data, Explained; Advanced Time Series Prediction
How Bayesian Inference Works; Data Science and Big Data, Explained; Trump, Failure of Prediction, and Lessons for Data Scientist; Combining Different Methods to Create Advanced Time Series Prediction; Questions To Ask When Moving Machine Learning From Practice to Production via Pocket
howto  learn  resources  statistics 
january 2017 by kintopp
Eigenvectors and Eigenvalues explained visually
It turns out that a matrix like $A$, whose entries are positive and whose columns add up to one (try it!), is called a Markov matrix, and it always has $\lambda = 1$ as its largest eigenvalue. That means there's a value of $v_t$ for which $Av_t =\lambda v_t = 1 v_t = v_t$. via Pocket
learn  statistics  vectors 
november 2016 by kintopp
A Guide to Bayesian Statistics — Count Bayesie
Bayesian statistics is one of my favorite topics on this blog. But, the more I write the harder it is to find everything! I've decided to build this guide the organize these posts. This should make it easier for everyone to learn the basics. via Pocket
learn  statistics 
may 2016 by kintopp
How To Get Started With Machine Learning Algorithms in R - Machine Learning Mastery
R is the most popular platform for applied machine learning. When you want to get serious with applied machine learning you will find your way into R. It is very powerful because so many machine learning algorithms are provided. via Pocket
algorithm  learn  statistics  ml 
march 2016 by kintopp
Setting up RLink for Mathematica
RLink is a standard Mathematica package for accessing R functionality from Mathematica. This is a guide on how to set up RLink with arbitrary R installations on various operating systems and various versions of Mathematica. OS X 10.11 El Capitan users, please see this note. via Pocket
statistics  tools  mathematica 
october 2015 by kintopp
Visual Business Intelligence – A d3 Version of My Student Performance Dashboard
After the completion of my 2012 Dashboard Design Competition, I created my own version of the Student Performance Dashboard based on the same data that the competitors used. via Pocket
statistics  visualization 
october 2015 by kintopp
NBA player career projections | FlowingData
As the NBA basketball season gets started, FiveThirtyEight has their player projections for how much each will contribute to their team not just this year but in future seasons. The system is called CARMELO. via Pocket
cofk  history  oxford  statistics  visualization 
october 2015 by kintopp
stylo R package - computational stylistics
The suite of stylometric tools, so far in the form of separate scripts, has been recently ported to a regular R package. Once installed, it provides a number of functions that can be invoked from inside the R console. 3.4. via Pocket
analysis  statistics  stylometry  text  tools 
september 2015 by kintopp
Humanities Data in R - Exploring Networks, Geospatial Data, | Taylor Arnold | Springer
Arnold and Tilton are a brilliant team, and this highly accessible book will appeal to a wide range of digital humanists. via Pocket
analysis  books  data  datasets  geo  learn  networks  statistics  images 
august 2015 by kintopp
Quick start guide to R for Azure Machine Learning Studio
Stephen F Elston, Ph.D. Microsoft Azure Machine Learning contains many powerful machine learning and data manipulation modules. The powerful R language has been described as the lingua franca of analytics. via Pocket
learn  microsoft  statistics  ml 
may 2015 by kintopp
Topic modeling for the newbie - O'Reilly Radar
Get “Data Science from Scratch” at 50% off with code DATA50. Editor’s note: This is an excerpt from our recent book Data Science from Scratch, by Joel Grus. via Pocket
books  datasets  learn  statistics  analysis  topic  modeling  text 
may 2015 by kintopp
A Course for Visualization in R, Taking You From Beginner to Advanced
It's the fourth year of running memberships on FlowingData (whoa). With at least one tutorial per month since the beginning, I've worked up a pretty good collection, mostly in R. Each tutorial is self-encapsulated. Download the source and follow the steps. via Pocket
howto  learn  statistics 
may 2015 by kintopp
R Programming for… by Roger D. Peng [Leanpub PDF/iPad/Kindle]
Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. via Pocket
books  data  learn  statistics 
may 2015 by kintopp
A new interactive interface for learning R online, for free | R-bloggers
Using the open-source swirl project and RStudio server, DataCamp has created an exciting new online learning interface. Discover a fun collection of free interactive R tutorials covering basic R functions, the apply-family, base graphics, data structures and much more. www.datacamp. via Pocket
howto  learn  statistics 
april 2015 by kintopp
Elements of Data Analytic… by Jeff Leek [Leanpub PDF/iPad/Kindle]
Data analysis is at least as much art as it is science. This book is focused on the details of data analysis that sometimes fall through the cracks in traditional statistics classes and textbooks. It is based in part on the authors blog posts, lecture materials, and tutorials such as:  via Pocket
analysis  books  datasets  learn  statistics 
april 2015 by kintopp
The Winnower | DIY Scientific Publishing
Researchers often want to make claims that two or more groups of participants show the same (or close to the same) performance on a task. For example, a psychologist may seek to demonstrate that an effect is equally strong for men and women. via Pocket
howto  statistics 
march 2015 by kintopp
From Counting to Multivariable Calculus in 5 minutes! — Count Bayesie
I'd like to start out by saying a huge "Thanks!" to all the people who have visited this blog! The comments and feedback I've received have been really amazing! I have a bunch of great new posts on the way! via Pocket
learn  statistics 
march 2015 by kintopp
Rabbit: introduction to R (free web book) | R-bloggers
Dear R users, all chapters of Rabbit are now online. Rabbit is a free web book (i.e. a manual) about base R. It covers several base topics such as: R installation, R first steps, R data objects, R data import, R functions, R graphics and R statistical base functions. via Pocket
books  learn  statistics 
february 2015 by kintopp
Getting Started with OpenRefine
This guide is a companion to the Data Preparation for Digital Humanities Research workshop. It is designed to help you begin using OpenRefine to: Download data (authors-people.csv) This dataset was created by the British Library. We thank them for their love of comics. via Pocket
howto  learn  statistics  mathematica 
february 2015 by kintopp
District Data Labs - How to Transition from Excel to R
In today's increasingly data-driven world, business people are constantly talking about how they want more powerful and flexible analytical tools, but are usually intimidated by the programming knowledge these tools require and the learning curve they must overcome just to be able to reproduce what via Pocket
howto  learn  statistics 
february 2015 by kintopp
Bayesian Logical Data Analysis for the Physical Sciences A Comparative Approach with Mathematica® Support | Statistics for physical sciences and engineering | Cambridge University Press
Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. via Pocket
books  statistics  mathematica 
february 2015 by kintopp
Loading Data and Basic Formatting in R
Oftentimes, the bulk of the work that goes into a visualization isn't visual at all. That is, the drawing of shapes and colors can be relatively quick, and you might spend most of your time getting the data in the format that you need (or just getting data in general). via Pocket
learn  statistics  resources 
february 2015 by kintopp
Probability: An Introduction with Statistical Applications, second edition
Thoroughly updated, Probability: An Introduction with Statistical Applications, Second Edition features a comprehensive exploration of statistical data analysis as an application of probability. via Pocket
books  learn  statistics  mathematica 
february 2015 by kintopp
Cinemetrics - Discussion
I've just come across an interesting and useful paper intended as an introduction to statistics for medical researchers, but which is clear enough for anyone to understand. It provides some basics on the difference between samples and popualtions, statistics and parameters, and estimation. via Pocket
learn  statistics  resources 
february 2015 by kintopp
Naive Bayes I
Naive Bayes classifiers, a family of classifiers that are based on the popular Bayes’ probability theorem, are known for creating simple yet well performing models, especially in the fields of document classification and disease prediction. via Pocket
howto  learn  statistics  ml 
january 2015 by kintopp
Review: Wainer, Picturing the Uncertain World
Picturing the Uncertain World by Howard Wainer is a book about statistics and statistical thinking, aided by visual depictions of data. Each article in the collection starts by stating a question or phenomenon, which is then investigated further using some clever statistics. via Pocket
books  learn  statistics  visualization 
december 2014 by kintopp
Datavu: Statistical Modeling vs Machine Learning
I have often used the terms Statistical modeling techniques and Machine learning techniques interchangeably but was not sure about the similarities and differences. So I went through few resources and sharing my findings here. via Pocket
debates  statistics  ml 
december 2014 by kintopp
szhorvat/IGraphR · GitHub
Call igraph with ease from Mathematica through RLink. RLink is available in Mathematica 9 or later. First, make sure that you are using an R installation that has the igraph package. via Pocket
graphs  statistics  mathematica 
october 2014 by kintopp
An Introduction to Correspondence Analysis « The Mathematica Journal
Cross tabulations (also known as cross tabs, or contingency tables) often arise in data analysis, whenever data can be placed into two distinct sets of categories. via Pocket
statistics  text  analysis  mathematica 
september 2014 by kintopp
Onlinekursreporter: Statistics One Woche 1 | TEXperimenTales
Nach Absolvierung der Lectures der ersten Woche aus dem auf Coursera angebotenen Online-Statistik-Kurs (Andrew Conway, Princeton) ist es Zeit für ein erstes Zwischenfazit. via Pocket
learn  statistics 
september 2012 by kintopp

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