« earlier
Introduction to Bayesian Modeling with PyMC3 - Dr. Juan Camilo Orduz
This post is devoted to give an introduction to Bayesian modeling using PyMC3, an open source probabilistic programming framework written in Python.
Python  Bayesian  PyMC3  tutorial  probability  statistics  math
4 days ago
Python Mode for Processing
You write Processing code. In Python.
Python  Processing  generativeart  art
10 days ago
Zipf, Power-law, Pareto - a ranking tutorial
Many man made and naturally occurring phenomena, including city sizes, incomes, word frequencies, and earthquake magnitudes, are distributed according to a power-law distribution. A power-law implies that small occurrences are extremely common, whereas large instances are extremely rare. This regularity or 'law' is sometimes also referred to as Zipf and sometimes Pareto. To add to the confusion, the laws alternately refer to ranked and unranked distributions. Here we show that all three terms, Zipf, power-law, and Pareto, can refer to the same thing, and how to easily move from the ranked to the unranked distributions and relate their exponents.
probability  statistics  math  Zipf  power-law  Pareto  distribution
10 days ago
Web of Stories
Web of Stories offers you the chance to listen to some of the greatest people of our time telling their life stories.
documentary  history  biography  physics  math
15 days ago
Temporal Logic (Stanford Encyclopedia of Philosophy)
Here we provide a broadly representative, yet concise and inevitably incomplete, overview of the rich variety of temporal models and logics introduced and studied over the past 50 years.
temporal  logic  time  philosophy  Stanford  temporallogic
25 days ago
Locally Weighted Linear Regression (Loess) — Data Blog
LOESS or LOWESS are non-parametric regression methods that combine multiple regression models in a k-nearest-neighbor-based meta-model.
statistics  algorithms  datascience  regression  LOESS  LOWESS
4 weeks ago
Abstract Algebra: Course Notes -- J.S. Milne
These are full notes for all the advanced (graduate-level) courses I have taught since 1986. Some of the notes give complete proofs (Group Theory, Fields and Galois Theory, Algebraic Number Theory, Class Field Theory, Algebraic Geometry), while others are more in the nature of introductory overviews to a topic. They have all been heavily revised from the originals. One day I may publish some of them as books, but until I do they are living documents, so please send me corrections (especially significant mathematical corrections) and suggestions for improvements.
math  course  notes  abstract  algebra  geometry  groups  fields
4 weeks ago
Armed Bear Common Lisp (ABCL) - Common Lisp on the JVM
Armed Bear Common Lisp (ABCL) is a full implementation of the Common Lisp language featuring both an interpreter and a compiler, running in the JVM. Originally started to be a scripting language for the J editor, it now supports JSR-223 (Java scripting API): it can be a scripting engine in any Java application. Additionally, it can be used to implement (parts of) the application using Java to Lisp integration APIs.
interpreter  compiler  commonlisp  ABCL  CL  JVM  Java
4 weeks ago
ASDF - Another System Definition Facility
ASDF is the de facto standard build facility for Common Lisp. Your Lisp implementation probably contains a copy of ASDF, which you can load using (require "asdf").
tools  commonlisp  CL  build  system  ASDF
4 weeks ago
Home
Cookbook, n. a book containing recipes and other information about the preparation and cooking of food.
book  commonlisp  CL  cookbook
4 weeks ago
Practical Common Lisp
This page, and the pages it links to, contain text of the Common Lisp book Practical Common Lisp published by Apress These pages now contain the final text as it appears in the book.
book  commonlisp  CL  reference
4 weeks ago
awesome-cl | A curated list of awesome Common Lisp frameworks, libraries and other shiny stuff.
A curated list of awesome Common Lisp frameworks, libraries and other shiny stuff.
commonlisp  CL  frameworks  libraries
4 weeks ago
TIME International Symposium on Temporal Representation and Reasoning
TIME has been for more than twenty years the only yearly multidisciplinary international event dedicated to the topic of time in computer science. The purpose of the symposium is to bring together active researchers in different research areas involving temporal representation and reasoning. The symposium also welcomes research papers on the related topics of spatial and spatio-temporal representation and reasoning. In the early years, most contributions came from the Artificial Intelligence community, but the number of contributions from other areas such as Temporal Logic and Verification and  partly from Temporal Databases has been increasing in the last years.
time  temporal  symposium  representation  reasoning
5 weeks ago
How to Build a Blockchain in Python (Get Pre-built Runtime) | ActiveState
The system that Bitcoin relies upon — a growing list of records (i.e. blocks) that are linked to one another — is known as a blockchain. Bitcoin was the first successful application of this system, and shortly after its rise in popularity, other cryptocurrencies were founded on the same principles. This system, however, is not restricted to storing financial information. Rather, the type of data being stored is inconsequential to and independent of the blockchain network.
Python  blockchain  bitcoin  tutorial
5 weeks ago
Machine Learning 10-601: Lectures
Machine Learning
10-601, Spring 2015
Carnegie Mellon University
Tom Mitchell and Maria-Florina Balcan
course  machinelearning  ML  CMU  resources
5 weeks ago
CS229: Machine Learning
Resources for Andrew Ng's ML course at Stanford
machine_learning  ML  machinelearning  resources
5 weeks ago
Lena Rivo
Gouache artist/teacher
art  artist  gouache  watercolor
6 weeks ago
Computer Age Statistical Inference: Algorithms, Evidence and Data Science
The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. “Big data,” “data science,” and “machine learning” have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on a journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories – Bayesian, frequentist, Fisherian – individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The book integrates methodology and algorithms with statistical inference, and ends with speculation on the future direction of statistics and data science.
book  statistics  machinelearning  datascience  algorithms
8 weeks ago
[no title]
Building Expert Systems in Prolog
book  Prolog  ExpertSystems  AI
november 2019
Thea - [SWI] Prolog OWL library
Thea is an Prolog library that provides complete support for querying and processing OWL2 ontologies directly from within Prolog programs.
Prolog  OWL  ontologies  reasoning  semweb  SWRL
november 2019
Color wheel - color theory and calculator | Canva Colors
Want to know what colors look good together? Canva's Color Wheel makes color combinations easy.
colors  palettes  art  design  webdev  color_wheel  color_theory
november 2019
Free stock photos · Pexels
The best free stock photos & videos shared by talented creators.
free  photography  images  photos  stock  royalty-free
november 2019
Net-zero emissions energy systems | Science
Path to zero carbon emissions
Models show that to avert dangerous levels of climate change, global carbon dioxide emissions must fall to zero later this century. Most of these emissions arise from energy use. Davis et al. review what it would take to achieve decarbonization of the energy system. Some parts of the energy system are particularly difficult to decarbonize, including aviation, long-distance transport, steel and cement production, and provision of a reliable electricity supply. Current technologies and pathways show promise, but integration of now-discrete energy sectors and industrial processes is vital to achieve minimal emissions.
climate_change  carbon_dioxide  energy_emissions  CO2  environmental
november 2019
QSRlib’s docs — QSRlib 0.4.0 documentation
QSRlib is a library that allows computation of Qualitative Spatial Relations and Calculi, as well as a development framework for rapid implementation of new QSRs.
Qualitative  Spatial  Relations  QSR  calculii  Allen  intervals  algebra  temporal
november 2019
Potassco
Potassco, the Potsdam Answer Set Solving Collection, bundles tools for Answer Set Programming developed at the University of Potsdam
ASP  answer-set-programming  logics  university  theorem-prover  temporal  constraint  scheduling
november 2019
Quick, Draw!
Help teach it by adding your drawings to the world’s largest doodling data set, shared publicly to help with machine learning research.
Let's Draw!
brain  drawing  neuralnetwork  doodling  image  recognition
november 2019
A Neural Network Playground
Tinker With a Neural Network Right Here in Your Browser.
Don’t Worry, You Can’t Break It. We Promise.
brain  TensorFlow  AI  neuralnetwork  playground  deeplearning
november 2019
Deep Dream Generator
Is a set of tools which make it possible to explore different AI algorithms. We focus on creative tools for visual content generation like those for merging image styles and content or such as Deep Dream which explores the insight of a deep neural network.
brain  deeplearning  ai  neuralnetworks  dream
november 2019
ImageNet
ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images.
brain  images  training  datasets  machinelearning  neuralnetworks  data  AI
november 2019
1998 paper by Yann LeCun, et al. on a hierarchical model of machine vision, LeNet-5
Abstract -- Multilayer Neural Networks trained with the backpropagation algorithm constitute the best example of a successful Gradient-Based Learning technique. ...
brain  neuralnetwork  backpropagation  gradient  learning  paper
november 2019
1980 paper by Kunihiko Fukushima on an architecture for machine vision, Neocognitron
Abstract. A neural network model for a mechanism of
visual pattern recognition is proposed in this paper. ...
brain  Neocognitron  neuralnetwork  paper
november 2019
Harvard University Brain Tour – Selected discoveries, instruments and people from the Harvard brain sciences.
Launched in October, 2016, in honor of the 50th Anniversary of the world’s first Department of Neurobiology at Harvard Medical School, this Brain Tour was produced by the Harvard Brain Science Initiative (HBI) with the collaboration of the Harvard Collection of Historical Scientific Instruments (CHSI). Harvard has a proud history in elucidating humankind’s understanding of the brain. This virtual gallery provides a selection of artifacts and anecdotes that trace the history of brain discovery with links to the state of the art today.
brain  neurons  neuroscience  neurobiology  Harvard  university
november 2019
Jenny Granberry
I'm an artist and educator in Austin Texas.
artist  watercolor  Austin  Texas
october 2019
MapCrunch - Random Street View
Explore the world via Google Street View. MapCrunch teleports you to a random place in the world. Discover the vast array of imagery captured by Google in 50 countries, featuring spectacular scenery, magical moments and the utterly unexplainable.
travel  maps  random  streetlevelview  virtual  Google
october 2019
Sketchbook Skool | Learn How to Draw Online From Top Instructors
Instead of just showing you techniques, we inspire and motivate you to make art of your own. Each week you get dozens of gorgeous videos that are like hanging out in the artist’s studio, sharing ideas and experiences, techniques and sketchbooks. You watch them online — whenever you want — surrounded by hundreds of like-minded people to cheer you on. And then you start to create art, amazing art, no matter where you began.
art  tutorials  training  painting  online
october 2019
Begin Learning Blender and Game Development with CG Cookie - CG Cookie
Amazing Blender 3D Tutorials
If you're just learning which buttons to push, YouTube is your jam. If you want to truly understand Blender and 3D Creation -- welcome home.
Blender  3D  tutorials  training  art  digitalart
october 2019
My Photo Artistic Life
Photoshop Artistry
With over 17,000 students in over 93 countries around the world, Photoshop Artistry with Sebastian Michaels has become one of the foremost Photoshop courses today.

art  photoshop  digitalart  tutorials  portfolios  training
october 2019
Ctrl+Paint - Digital Painting Simplified
Ctrl+Paint is a free learning resource dedicated to the basics of digital painting. Each bite-sized video covers a different concept, allowing you to learn complex subjects in manageable increments.
digitalpainting  tutorials  photoshop  art  painting  digitalart
october 2019
Paintable - Learn The Art of Digital Painting!
Learn The Art of Digital Painting!
digitalart  training  tutorials  art  painting
october 2019
Building a Python C Extension Module – Real Python
Learn how to write Python interfaces in C. Find out how to invoke C functions from within Python and build Python C extension modules. You’ll learn how to parse arguments, return values, and raise custom exceptions using the Python API.
Python  C  extension  module  tutorial
october 2019
How to Implement Bayesian Optimization from Scratch in Python
In this tutorial, you will discover Bayesian Optimization for directed search of complex optimization problems.
bayesian  optimization  python  tutorials
october 2019
TensorFlow 2.0 + Keras Crash Course.ipynb - Colaboratory
This document serves as an introduction, crash course, and quick API reference for TensorFlow 2.0.
TensorFlow  Keras  tutorials  Python  ipynb  jupyternotebook  API
october 2019
Mike McCain Art
I'm a Seattle-based creative director and illustrator with a decade of hands-on art and game development experience – most notably as the director of Harebrained Schemes' SHADOWRUN: DRAGONFALL and BATTLETECH. I'm available for freelance illustration and visual development projects – so if you like my work, let's talk! Email me at mikemccainart@gmail.com and tell me a little about you, your project, and how I might be able to help.
artist  gallery  procreate  digitalart  brushes
october 2019
Carbon
Create and share beautiful images of your source code.
Start typing or drop a file into the text area to get started.
code  image  screenshots  screenshot  sharecode
october 2019
How to use Docker containers for new Data Scientists - Morioh
In this article we focus on one of the most popular new tools for data science and engineering - Docker.
Python  programming  Docker  datascience  tutorials
october 2019
MegaFace
MegaFace and MF2: Million-Scale Face Recognition
database  face  recognition  machinelearning  facialrecognition  datasets  neuralnetworks  data  visual
october 2019
OranLooney.com
See the "from scratch" tagged articles
machinelearning  tutorials  blog  ML  Python  R  math  statistics
october 2019
SuRF – Object RDF mapper — SuRF 1.2.0 documentation
SuRF is an Object - RDF Mapper based on the popular rdflib python library. It exposes the RDF triple sets as sets of resources and seamlessly integrates them into the Object Oriented paradigm of python in a similar manner as ActiveRDF does for ruby.
Python  RDF  RDFLib  object-oriented  semanticweb  SuRF
september 2019
Owlready2 is a package for ontology-oriented programming in Python. It can load OWL 2.0 ontologies as Python objects, modify them, save them, and perform reasoning via HermiT (included). Owlready2 allows a transparent access to OWL ontologies (contrary to usual Java-based API).
OWL  RDF  ontology  hermit  pellet  Python  reasoning  semanticweb
september 2019
Keras for Beginners: Implementing a Convolutional Neural Network - victorzhou.com
A beginner-friendly guide on using Keras to implement a simple Convolutional Neural Network (CNN) in Python.
deeplearning  neuralnetworks  CNN  convolutional  neural  network  Keras  tensorflow  Python  MNIST  academic
august 2019
Practical Deep Learning for Coders, v3 | fast.ai course v3
Welcome! If you’re new to all this deep learning stuff, then don’t worry—we’ll take you through it all step by step.
deeplearning  AI  neuralnetworks  tutorials
august 2019
Library - Drawing and Painting Lessons | Proko
Below you’ll find all the videos in the Proko Library listed by category. Some videos are in multiple categories. If you’re new to drawing I recommend starting with the Drawing Basics section. After that, feel free to jump around and pick your own adventure!
art  drawing  painting  tutorials
august 2019
Free Video Library — Ctrl+Paint - Digital Painting Simplified
This is a collection of short, free, videos on the basics of digital painting.  Hundreds of them.
art  digitalart  tutorials
august 2019
here’s a loosely organised and non-exhaustive index of free tutorials made by some of the talented people posting on these discussion boards and the previous forums.
Procreate  art  digitalart  tutorials
august 2019
Free brushes?
here are a few links to threads here on the Resources board with a ton of free brushes of all different kinds made by some of the star forum brushmakers
Procreate  art  digitalart  brushes  tutorials
august 2019
How It Works | Scott's Cheap Flights
Leave the deal hunting to Scott and our team of Flight Experts. Only the best deals make it to your inbox.
Scott  cheap  flights  travel  airlines
august 2019
Since 2009, coders have created thousands of amazing experiments using Chrome, Android, AI, Web VR, AR and more. We're showcasing projects here, along with helpful tools and resources, to inspire others to create new experiments. Here are collections of experiments to explore, with new ones added every week. Have fun.
august 2019
An Introduction to Recurrent Neural Networks for Beginners - victorzhou.com
A simple walkthrough of what RNNs are, how they work, and how to build one from scratch in Python.
deeplearning  neuralnetworks  RNN  recurrent  tutorials
july 2019
The Cryptopals Crypto Challenges
This is a different way to learn about crypto than taking a class or reading a book. We give you problems to solve. They're derived from weaknesses in real-world systems and modern cryptographic constructions. We give you enough info to learn about the underlying crypto concepts yourself. When you're finished, you'll not only have learned a good deal about how cryptosystems are built, but you'll also understand how they're attacked.
cryptography  tutorials
july 2019
CauseMe - A platform to benchmark causal discovery methods
The CauseMe platform provides ground truth benchmark datasets featuring different real data challenges to assess and compare the performance of causal discovery methods. The available benchmark datasets are either generated from synthetic models mimicking real challenges, or are real world data sets where the causal structure is known with high confidence. The datasets vary in dimensionality, complexity and sophistication.
causality  timeseries  platform  CauseMe  benchmark  causal  discovery
june 2019
A Gentle Introduction to Lattices and Lattice-Based Key Exchange: Part 1
This post gives a (hopefully!) simple introduction to lattices and hard problems based on lattices. Lattices are interesting to the field of cryptography as the below problems are difficult for a quantum computer to solve, as opposed to problems based on discrete logarithms or factoring such as Diffie-Hellman based problems or RSA.
cryptography  lattices  tutorial  key  exchange
june 2019
Setting up a Common Lisp environment on OS X with Sublime Text 3 | Mark Trapp
This is a basic guide for setting up what was a functional environment for me after a few hours of messing around with it.
CommonLisp  SBCL  Sublime  environment  OSX
june 2019
Statistics Online | STAT ONLINE
Penn State
Eberly College of Science
Dept. of Statistics
statistics  courses  PennState  university
may 2019
per page:    204080120160

Copy this bookmark: