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Isaac Asimov wrote almost 500 books in his lifetime—these are the six ways he did it — Quartz. Absent Qualia, Fading Qualia, Dancing Qualia. David J.

Absent Qualia, Fading Qualia, Dancing Qualia

Chalmers Department of Philosophy University of Arizona Tucson, AZ 85721 chalmers@arizona.edu. Martin Hilbert, experto en redes digitales: “Obama y Trump usaron el Big Data para lavar cerebros” Big Data. A few books. Urban Sound Classification, Part 1. We all got exposed to different sounds every day.

Urban Sound Classification, Part 1

Like, the sound of car horns, siren and music etc. How about teaching computer to classify such sounds automatically into categories! In this blog post, we will learn techniques to classify urban sounds into categories using machine learning. Siete minutos para entender a Simone de Beauvoir. Local regression - Wikipedia.

LOESS curve fitted to a population sampled from a sine wave with uniform noise added.

Local regression - Wikipedia

The LOESS curve approximates the original sine wave LOESS[pronunciation?] And LOWESS (locally weighted scatterplot smoothing) are two strongly related non-parametric regression methods that combine multiple regression models in a k-nearest-neighbor-based meta-model. "LOESS" is a later generalization of LOWESS; although it is not a true initialism, it may be understood as standing for "LOcal regrESSion".[1] LOESS and LOWESS thus build on "classical" methods, such as linear and nonlinear least squares regression. The Fallacy of Gray. Followup to: Tsuyoku Naritai, But There's Still A Chance Right?

The Fallacy of Gray

The Sophisticate: "The world isn't black and white. No one does pure good or pure bad. It's all gray. Therefore, no one is better than anyone else. " Estas 21 películas sacudirán tu conciencia y te llevarán a preguntas que quizá no te has hecho. Guillermo Samperio. 11 Important Model Evaluation Techniques Everyone Should Know. Model evaluation metrics are used to assess goodness of fit between model and data, to compare different models, in the context of model selection, and to predict how predictions (associated with a specific model and data set) are expected to be accurate.

11 Important Model Evaluation Techniques Everyone Should Know

Confidence Interval. Confidence intervals are used to assess how reliable a statistical estimate is. Wide confidence intervals mean that your model is poor (and it is worth investigating other models), or that your data is very noisy if confidence intervals don't improve by changing the model (that is, testing a different theoretical statistical distribution for your observations.) Modern confidence intervals are model-free, data -driven: click here to see how to compute them. The Fundamental Statistics Theorem Revisited. In this article, we revisit the most fundamental statistics theorem, talking in layman terms.

The Fundamental Statistics Theorem Revisited

We investigate a special but interesting and useful case, which is not discussed in textbooks, data camps, or data science classes. This article is part of a series about off-the-beaten-path data science and mathematics, offering a fresh, original and simple perspective on a number of topics. A Complete Tutorial to Learn Data Science with Python from Scratch. This article on a complete tutorial to learn Data Science with Pyhon from scratch, was posted by Kunal Jain.

A Complete Tutorial to Learn Data Science with Python from Scratch

Kunal is a post graduate from IIT Bombay in Aerospace Engineering. He has spent more than 8 years in field of Data Science. He learned basics of Python within a week. And, since then, he has not only explored this language to the depth, but also has helped many other to learn this language. Python was originally a general purpose language. NOAH - SEBASTIAN FITZEK. Contest Winner: Winning the AutoML Challenge with Auto-sklearn. This post is the first place prize recipient in the recent KDnuggets blog contest.

Contest Winner: Winning the AutoML Challenge with Auto-sklearn

Auto-sklearn is an open-source Python tool that automatically determines effective machine learning pipelines for classification and regression datasets. It is built around the successful scikit-learn library and won the recent AutoML challenge. By Matthias Feurer, Aaron Klein and Frank Hutter, University of Freiburg. Editor's note: This blog post was the winner in the recent KDnuggets Automated Data Science and Machine Learning blog contest.

Automated Machine Learning: An Interview with Randy Olson, TPOT Lead Developer. Read an insightful interview with Randy Olson, Senior Data Scientist at University of Pennsylvania Institute for Biomedical Informatics, and lead developer of TPOT, an open source Python tool that intelligently automates the entire machine learning process.

Automated Machine Learning: An Interview with Randy Olson, TPOT Lead Developer

Automated machine learning has become a topic of considerable interest over the past several months. A recent KDnuggets blog competition focused on this topic, and generated a handful of interesting ideas and projects. 11 Best Budget Apps for 2016. Download these best budget apps to help you save money, budget for upcoming expenses and also avoid the fees that come from overdraft or late fees.

11 Best Budget Apps for 2016

Finding a good budget is no small task, but with these budgeting and money apps for iPhone and Android you keep your finances in check during 2016. Advertisement. Complex online web statistical calculators. Tukey's Post Hoc Test Example. Problem: Susan Sound predicts that students will learn most effectively with a constant background sound, as opposed to an unpredictable sound or no sound at all. She randomly divides twenty-four students into three groups of eight.

All students study a passage of text for 30 minutes. IPython Books - Introduction to Machine Learning in Python with scikit-learn. Nueve días de luto en Cuba por la muerte de Fidel - La Jornada. Dr. Carlos Gershenson self-assigned academic titles. It has come to our knowledge that it was reported to the editor of the MIT Press the misconduct of the following researchers: Mario Siqueiros, Tom Froese and Carlos Gershenson, who have misled the scientific community by claiming to hold higher-ranking titles that they do not hold.

The story has also prompted a heated debate in Wikipedia: Here the letter sent to us: Robert De Niro - Wikipedia. Robert Anthony De Niro (/dəˈnɪroʊ/; born August 17, 1943) is an American actor and producer who has both Italian and American citizenship.[1][2] He was cast as the young Vito Corleone in the 1974 film The Godfather Part II, for which he won the Academy Award for Best Supporting Actor. His longtime collaboration with director Martin Scorsese earned him the Academy Award for Best Actor for his portrayal of Jake La Motta in the 1980 film Raging Bull. He received the AFI Life Achievement Award in 2003, the Golden Globe Cecil B.

DeMille Award in 2010, and the Presidential Medal of Freedom from President Barack Obama in 2016. Early life[edit] Criterios de Copenhague. M. C. Escher. Maurits Cornelis Escher (Dutch pronunciation: [ˈmʌurɪts kɔrˈneːlɪs ˈɛʃər];[1] 17 June 1898 – 27 March 1972) was a Dutch graphic artist who made mathematically inspired woodcuts, lithographs, and mezzotints. Early in his career he drew inspiration from nature, making studies of insects, landscapes, and plants such as lichens, all of which he reused as details in his artworks. He travelled in Italy and Spain, sketching buildings, townscapes, architecture and the tilings of the Alhambra and La Mezquita, Cordoba, and became steadily more interested in their mathematical structure. Escher's art became well known, both among scientists and mathematicians, and in popular culture. Apart from being used in a variety of technical papers, his work has appeared on the covers of many books and albums.

He featured as one of the major inspirations of Douglas Hofstadter's 1979 book Gödel, Escher, Bach. Pedro Friedeberg - Wikipedia. Pedro Friedeberg (January 11, 1936-) is a Mexican artist and designer known for his surrealist work filled with lines colors and ancient and religious symbols. His best known piece is the “Hand-Chair” a sculpture/chair designed for people to sit on the palm, using the fingers as back and arm rests. Friedeberg began studying as an architect but did not complete his studies as he began to draw designs against the conventional forms of the 1950s and even completely implausible ones such as houses with artichoke roofs. However, his work caught the attention of artist Mathias Goeritz who encouraged him to continue as an artist.

Friedeberg became part of a group of surrealist artists in Mexico which included Leonora Carrington and Alice Rahon, who were irreverent, rejecting the social and political art which was dominant at the time. Friedeberg has had a lifelong reputation for being eccentric, and states that art is dead because nothing new is being produced.