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Introduction to Practical Haskell

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5 Links, Created 2014-10-09 06:24:25.783 by
scott
Haskell is often thought of as a scary, academic language used to frighten undergrads out of the university and into the real world of commercial computing. This guide shows how Haskell is an amazing practical language which will make your programs faster, smaller, easier to maintain, and more bug free. And you will feel smart as heck for writing them.

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Introduction to Classical Physics - Special Relativity

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7 Links, Created 2014-11-01 07:55:35.771 by
SunnygirlDiana
A subset of the Introduction to Classical Physics guide - The complacency of late 19th century physicists begins to fall apart after the shocking results from the most famous failed experiment of all time -- the Michelson-Morley experiment -- fall into place. These results cause leading figures like Lorentz and Einstein to begin formulating a new special theory of relativity (Newton's equations of motion were actually not a complete description of nature!)...but don't be intimidated by Einstein's famous theories of relativity! In this simple and friendly guide, you'll have a comfortable understanding of a range of relativistic topics from the famous energy-mass equivalence to the Lorentz transformation in space-time.

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Introduction to Machine Learning

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3 Links, Created 2014-11-03 05:19:57.34 by
dif
Just what the heck is machine learning and how can I use it to get systems to improve their performance/become less dumb over time?

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Functional Scala

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15 Links, Created 2014-11-05 00:59:10.232 by
salanki
Functional programming in Scala. Useful material for both current Scala programmers and newbies

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Introduction to Quantum Mechanics: The Wavefunction

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11 Links, Created 2014-11-06 07:56:19.691 by
SunnygirlDiana
This guide is a subset to the Introduction to Quantum Mechanics guide, which is intended to cover what a one-semester or one year junior or senior college level course would...this guide would also suit any "self-learners" as this level of course is typical for a college student's first exposure to Quantum Mechanics as well -- This subguide will introduce the concept of the wavefunction (which in itself is a quantum mechanical postulate), present the Schroedinger equation and its associated statistical interpretation (a review of necessary probability concepts will be provided), the need for NORMALIZATION/square-integrability of valid wavefunctions and how to do this, the momentum operator and the pure momentum state wave function , and finally introduce the pillars of quantum mechanics: WAVE-PARTICLE DUALITY (de Broglie) and the HEISENBERG UNCERTAINTY PRINCIPLE. Isn't physics fun?

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Introduction to Quantum Mechanics: The Birth of Quantum Theory

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11 Links, Created 2014-11-06 08:03:36.636 by
SunnygirlDiana
This guide is a subset to the Introduction to Quantum Mechanics guide, which is intended to cover what a one-semester or one year junior or senior college level course would...this guide would also suit any "self-learners" as this level of course is typical for a college student's first exposure to Quantum Mechanics as well -- This subguide will discuss the revolutionary 20th century experiments that destroyed the complacency of late 19th century physicists, shook the scientific world, and subsequently led to the birth of quantum theory. Topics to be covered include blackbody radiation, planck's quantum hypothesis, the photoelectric effect, the hydrogen atomic spectrum and Rydberg's formula, The PILLARS OF QUANTUM MECHANICS (wave-particle duality ie de Broglie waves, and the Heisenberg Uncertainty Principle), and Young's double-slit experiment.

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How Learnstream is Made

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11 Links, Created 2014-11-06 23:49:21.106 by
scott
This is the technology stack that goes into building Learnstream. We made each choice with careful tender love and care. The results have been fantastic.

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Wharton Knowledge Now: Tech Stack

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7 Links, Created 2014-11-11 07:30:43.573 by
kakaflaka
Wharton Knowledge Now (currently beta) is a powerful and comprehensive search engine which indexes all the university's knowledge content by crawling, extracting, and normalizing unstructured data from the web. Internal databases, professor websites, Wharton video channels, Wharton news publications, and research center sites are just some of the myriad resources which have been distilled into units of knowledge and made searchable.

This guide examines the technology stack choices at a high level and speaks to how each of them is integrated into the pipeline from raw website to indexed search data.

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Free Monads in Scala

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8 Links, Created 2014-12-06 03:09:18.837 by
miguel
Learn what are Free Monads, how they can be an alternative to monad transformers and how they are implemented in Scala starting with some easy presentations

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Machine Learning

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7 Links, Created 2015-02-11 05:28:40.877 by
allanbreyes
Machine learning is the technology that drives everything from search engines, to speech and face recognition, to self-driving cars. Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model based on inputs and using that to make predictions or decisions, rather than following only explicitly programmed instructions.

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