Math and Data Science Reading for 09/01/2015

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What I’m Reading on 09/01/2015

  • “Due to its tremendous popularity, the iPhone has no shortage of third-party accessories. In fact, it’s got to be the smartphone with the most accessories available out there for pretty much anything one could think of — and then some. This includes several camera accessories to make the best out of the iPhone’s already impressive camera, either by mounting it perfectly to get the right angle, or adding an external lens to get DSLR-like results.”

    tags: bs cool connected camera

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What I’m Reading on 08/27/2015

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What I’m Reading on 08/26/2015

  • “He had one last chance to make it real. Or at least that’s how the story goes. With 1975’s Born to Run, a 25-year-old Bruce Springsteen felt like his very life was on the line, which is probably why he drove himself — and the E Street Band — to the brink of breakdown over the tortured months of its creation. In November 2005, a couple of hours before going onstage for a show on his solo Devils and Dust tour, Springsteen called Rolling Stone to talk about making Born to Run. On the 40th anniversary of the album’s release, here is the full transcript of that conversation, published for the first time.”

    tags: bs bruce springsteen

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Daily Math and Data Science Reading for 08/22/2015

  • ” If you are the one who has decided to pursue then we promise to help you with as much useful stuff as possible. Today, we have come up with best machine learning cheat sheets that are not too much in number but are simply worth it.”

    tags: m machine-learning machinelearning

  • “Machine learning is not everyone’s cup of tea but then if you are determined to contribute then we are here to help you though not directly like writing a book/blog or something like that but then with the list of useful resources. Here, we have compiled a list of best free machine learning ebooks that are written with the aim to help you targeted nerdy people in machine learning as easily as possible. So, take a look at the best free machine learning ebooks listed below and make your pick as to which one you would want to read first and then go along with other ones.”

    tags: m ebooks machinelearning

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What I’m Reading on 08/22/2015

  • “Welcome to Hornbeck Boats. We design, build and sell double-paddle canoes. Our Lost Pond Boats are ideal for a wide range of paddling, whether pond-hopping in the Adirondack wilderness, river-tripping in the wilds of Maine, cruising the Boundary Waters of the Midwest or exploring the swamps of the South. You can enjoy the lightness of our boats as you portage to a motorless lake or simply carry from your car to a favorite pond. “

    tags: bs ultra light custom canoe

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Daily Math and Data Science Reading for 08/20/2015

  • “We cover many emerging markets in the startup ecosystem. Previously, we published posts that summarized Financial Technology, Internet of Things, Bitcoin, and MarTech in six visuals. This week, we do the same with Artificial Intelligence (AI). At this time, we are tracking 855 AI companies across 13 categories, with a combined funding amount of $8.75billion.”

    tags: m intelligence visuals

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What I’m Reading on 08/20/2015

  • “Skyscraper aims to be a fully-featured, modular, 3D realtime building simulator, powered by the Scalable Building Simulator (SBS) engine. The main feature SBS provides is a very elaborate and realistic elevator simulator, but also simulates general building features such as walls, floors, stairs, shaftwork and more. Many more things are planned, including gaming support (single and network multiplayer), and a graphical building designer. Skyscraper is written in C++ and uses the OGRE graphics engine, Bullet for collisions and physics, FMOD for sound, the wxWidgets GUI library, and is multiplatform. The current versions aim for a future 2.0 release.”

    tags: bs skyscraper

  • “Hug aims to make developing Python driven APIs as simple as possible, but no simpler. As a result, it drastically simplifies Python API development.”

    tags: bs python

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Daily Math and Data Science Reading for 08/19/2015

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What I’m Reading on 08/19/2015

  • “In a video shown recently by Atlas’s makers, it is hard to miss the human in the humanoid as the 6-foot-2 machine takes a casual, careful stroll through the woods. It walks like a crouched limbo contestant (who perhaps imbibed one too many piña coladas), shuffles through a wooded area, tethered by a power cord, and then breaks into a more confident, foot-slapping walk when it reaches flat ground – much as a person would. Scientists hope to make an untethered version soon.”

    tags: bs atlas robot new york times

  • “What are the most popular programming languages? The only honest answer: It depends. Are you trying to land a job at a hot mobile app startup, model electricity flows across a continent, or create an electronic art project? Languages are tools, and what’s a “must have” in one domain can be a “whatever” in another. So for the second year in a row, IEEE Spectrum has teamed up with computational journalist Nick Diakopoulos to give you a popularity ranking that you can adjust to meet your own needs.”

    tags: bs programming languages

  • “Independent films have Sundance. Foreign films, Cannes. And for the ascending field of unmanned aerial filmmaking, there is now San Francisco’s forthcoming Flying Robot International Film Festival.”

    tags: bs drones film

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What I’m Reading on 08/13/2015

  • “While humans hem and haw about how to deal with the problems caused by drones, birds take a more straightforward approach: dive bomb anything that looks like a threat. An eagle in Australia has launched the latest attack on the invasive species, successfully taking out a reconnaissance drone from Melbourne Aerial Video.”

    tags: bs eagle drone

  • “One company hopes to come up with something a lot smarter by providing a platform that lets software learn how to behave within a game, whether in response to basic stimuli or to more complex situations. The hope is that this kind of learning will eventually allow complex behavior to emerge in game characters—and make for better AI in a range of applications.”

    tags: bs software games

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Daily Math and Data Science Reading for 08/12/2015

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What I’m Reading on 08/11/2015

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What I’m Reading on 08/05/2015

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What I’m Reading on 08/03/2015

  • “Butter (German: “die Butter”) is made from butterfat in the cream of cows, sheep and goats (and sometimes other mammals). The butterfat (also known as milk fat) is found in small, round globules surrounded by a membrane of phospholipids and lipoproteins. The lipids, or fats point into the center of the globule, while the phosphates or proteins like the watery liquid outside of the globules.”

    tags: bs butter european

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Daily Math and Data Science Reading for 08/01/2015

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What I’m Reading on 08/01/2015

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Daily Math and Data Science Reading for 07/30/2015

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Daily Math and Data Science Reading for 07/29/2015

  • “The 6th Richard D. Jenks Memorial Prize for Excellence in Software Engineering for Computer Algebra will be awarded at The Fields Institute in October 2015. The Prize will consist of a plaque and a cash award of $1,000. “

    tags: m richard jenks math

  • “Let me tell you a story about William Sealy Gosset. William was a Chemistry and Math grad from Oxford University in the class of 1899. After graduating, he took a job with the brewery of Arthur Guinness and Son, where he worked as a mathematician, trying to find the best yields of barley.”

    tags: m math guinness

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What I’m Reading on 07/15/2015

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What I’m Reading on 07/14/2015

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What I’m Reading on 07/02/2015

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What I’m Reading on 06/28/2015

  • “It’s now been over three decades since cyberpunk first exploded, and in that time we’ve seen gorgeous movies, read fascinating books, and seen dozens of offshoots like steampunk (and my new favorite, deco punk) develop. Here are the 21 cyberpunk books you absolutely must read.”

    tags: bs cyberpunk

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Fast Food or Chain Restaurant Mobile Apps

I was doing some research on nutritional data and decided to see what apps were offered by fast food vendors and chain restaurants. These apps typically show or allow search of menus and locations. More advanced features allow nutritional information, online ordering, and payments.

The links under the Apple App or Android App headings go directly to the iTunes Store or Google Play, respectively. The vendor links go to the restaurants’ web pages describing the mobile apps.

No endorsements of the vendors or their food is given or implied.

Vendor Apple App Andoid App
Applebee’s Grill & Bar
Burger King
Chipotle
Dunkin’ Donuts
Five Guys
KFC
McDonald’s    
Pizza Hut
Starbucks
Taco Bell
Wendy’s    

 

What I’m Reading on 06/19/2015

  • “In spite of these improvements, the question of “why JavaScript?” remains. This is not without reason. The use of JavaScript incurs certain overheads: browsers have to read and interpret a text-based language that was designed for human authors, not for machines. The design of JavaScript itself has features that are suboptimal from a performance perspective; the way a single JavaScript variable may at different times represent a number, a string, or a fragment of HTML means that a JIT compiler may not be able to optimize as aggressively as it would like. The ability to modify the behavior of even built-in objects such as arrays can be similarly problematic.”

    tags: bs javascript bytecode

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What I’m Reading on 06/11/2015

  • “The Secretary-General’s Independent Expert Advisory Group on a Data Revolution for Sustainable Development (IEAG) met the Secretary-General today to hand over their culminating report A World That Counts: Mobilising The Data Revolution for Sustainable Development.”

    tags: bs un

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What I’m Reading on 06/09/2015

  • “Today at WWDC, we announced Swift 2.0. This new version has even better performance, a new error handling API, and first-class support for availability checking. And platform APIs feel even more natural in Swift with enhancements to the Apple SDKs.”

    tags: bs swift blog

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Daily Math and Data Science Reading for 06/01/2015

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What I’m Reading on 05/31/2015

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What I’m Reading on 05/30/2015

  • “For instance, when you ask about the secret to happiness, Watson serves up a series of short video segments where speakers most accurately answer the question. In one, TED speaker and Harvard psychologist Dan Gilbert says, “The secret of happiness — here it is, finally to be revealed: First, accrue wealth, power, and prestige. Then lose it.””

    tags: bs watson ted ibm

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What I’m Reading on 05/28/2015

  • “So, as you assume, in this tutorial I’m planning to show you how to integrate In-App Purchases in your apps. As you’ll see, doing so it’s not difficult, and the steps you have to follow are pretty much always the same.”

    tags: bs swift ios

  • IBM Watson is proud to announce a major advance in the transcription of conversational speech. We built a system capable of very low error rates on a popular scientific benchmark that consists of telephone conversations – the NIST Switchboard corpus (“EvalSet-2″). Furthermore, this was achieved by using only publicly available data (details available on request) to train the underlying models. The performance of our new system – an 8% word error rate – is 36% better than previously reported external results. “

    tags: bs watson speech transcription

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What I’m Reading on 05/27/2015

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Daily Math and Data Science Reading for 05/25/2015

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Daily Math and Data Science Reading for 05/20/2015

  • “Rayleigh–Bénard convection is a type of natural convection, occurring in a plane horizontal layer of fluid heated from below, in which the fluid develops a regular pattern of convection cells known as Bénard cells. Rayleigh–Bénard convection is one of the most commonly studied convection phenomena because of its analytical and experimental accessibility.”

    tags: m convection

  • “Pedro Reis, an engineer at the Massachusetts Institute of Technology, had long been interested in how things wrinkle. For example, a dimpled surface like that of a golf ball offers less air resistance than a smooth sphere. If a flying object could dimple or wrinkle on command, Reis thought, it could alter its own aerodynamics midflight.”

    tags: m mathematics wrinkles

  • “Now, as their train approached the city, Voevodsky pulled out his laptop and opened a program called Coq, a proof assistant that provides mathematicians with an environment in which to write mathematical arguments. Awodey, a mathematician and logician at Carnegie Mellon University in Pittsburgh, Pa., followed along as Voevodsky wrote a definition of a mathematical object using a new formalism he had created, called univalent foundations. It took Voevodsky 15 minutes to write the definition.”

    tags: m mathematics

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What I’m Reading on 05/20/2015

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What I’m Reading on 05/19/2015

  • “This course will run concurrently with the Turner Classic Movies “Summer of Darkness” programming event, airing 24 hours of films noir every Friday in June and July 2015. This is the deepest catalog of film noir ever presented by the network (and perhaps any network), and provides an unprecedented opportunity for those interested in learning more to watch over 100 classic movies as they investigate “The Case of Film Noir.””

    tags: bs film noir

  • “Part of this story is familiar to anyone who has watched public universities raise tuition and fees, in some cases by 50 percent or more. But there’s another, less obvious, part of the story. Many of the most elite public universities are steadily restricting the number of students who are allowed to pay in-state tuition in the first place.”

    tags: bs tuition

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What I’m Reading on 05/16/2015

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Daily Math and Data Science Reading for 05/15/2015

  • “Data scientists and chief data officers are the hot hire these days, and government agencies at all levels are working to get more out of their rapidly growing troves of data. Determining how to approach all that data, however, can be daunting. “

    tags: m data science

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Daily Math and Data Science Reading for 05/14/2015

  • “In mathematics, bilinear interpolation is an extension of linear interpolation for interpolating functions of two variables (e.g., x and y) on a regular 2D grid.”

    tags: m interpolation

  • “Data scientists often come from diverse backgrounds and frequently don’t have much, if any, in the way of formal training in computer science or software development. That being said, most data scientists at some point will find themselves in discussions with software engineers because of some code that already is or will be touching production code.”

    tags: m software data scientists

  • “I recently started my third “real” job since finishing school; at my first and third jobs I have been a “data scientist”. I was a math major in college (and pretty good at it) and spent a year in the math Ph.D. program at the University of Virginia (and performed well there as well). These two facts alone would not have equipped me for a career in data science. In fact, it remains unclear to me that those two facts alone would have prepared me for any career (with the possible exception of teaching) without significantly more training.”

    tags: m data scientist math

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Daily Math and Data Science Reading for 05/13/2015

  • “Failure can happen for many reasons, however there are a few glaring dangers that will cause any big data project to crash and burn. Based on my experience working with companies and organizations of all shapes and sizes, I know these errors are all too frequent. One thing they have in common is they are all caused by a lack of adequate planning.”

    tags: m big data projects

  • “We are now at 20, up from 17. I hope I find the time to write a one-page survival guide for UNIX, Python and Perl. Here’s one for R. The links to core data science concepts are below – I need to add links to web crawling, attribution modeling and API design. Relevancy engines are discussed in some of the tutorials listed below. And that will complete my 10-page cheat sheet for data science.”

    tags: m tutorial data science

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What I’m Reading on 05/13/2015

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Daily Math and Data Science Reading for 05/12/2015

  • Python has seen significant growth in utilization in the areas of data science and predictive analytics in both the corporate and academic worlds. The KDNuggets2014 poll of dominant languages in Data Science (http://www.kdnuggets.com/2014/08/four-main-languages-analytics-data-mining-data-science.html) puts Python second to R in languages used in data science. Over 1/3rd of data scientists in the poll acknowledge use of Python in their work. In this article, we will give a brief highlights on the utility of Python and its use in data science and predictive analytics.”

    tags: m python analytics data

  • “Next week, renowned scholars including three Nobel laureates and a Turing Prize winner will give lectures at Brown in economics, physics, computer science, and brain science. Speakers will reflect on what the future may hold for their disciplines, while emphasizing von Neumann’s vision of “computation as a scientific lens.” Fourteen von Neumann lectures will be given over four days, May 12-15, 2015. Each day’s session will include a “sweat box session”—an intensive question-and-answer forum with some of the day’s speakers.”

    tags: m nobel scholars computation future

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What I’m Reading on 05/12/2015

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Daily Math and Data Science Reading for 05/11/2015

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What I’m Reading on 05/11/2015

  • “The bottom line: Whether your firm ends up with the Chief Data Officer or a Chief IoT Officer or both, a trend toward the creation of more chiefs may be on its way. “

    tags: bs iot chief officer

  • “The big problem is a lack of a well-understood tech stack — the layers of components or services that are used to provide software for the Internet of Things. This means that IoT developers are building top-to-bottom proprietary systems, with custom software, hardware, and communication layers. Until an IoT tech stack is codified and adopted, IoT will be hobbled by security issues, time to market challenges, and stability and reliability problems.”

    tags: bs iot tech stack

  • “With tide gauges distributed sparsely around the planet, scientists have turned to satellites to provide a global picture of sea level since the early 1990s. New research published on Monday in Nature Climate Change refines those satellite estimates and provides some good and bad news. The good news? Total sea level rise is lower than previous estimates. The bad news? Sea level rise rates are speeding up.”

    tags: bs sea level rise

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Daily Math and Data Science Reading for 05/09/2015

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Daily Math and Data Science Reading for 05/08/2015

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What I’m Reading on 05/08/2015

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Daily Math and Data Science Reading for 05/07/2015

  • “But as attractive as the big data space is, it can be a tricky sector for new entrepreneurs. Consider that 66 percent of all startups fail within the first 12 months. Though big data businesses may feel confident that they’re entering a hot space, stumbling blocks await. They need to be anticipated and considered.”

    tags: m challenges data startups

  • “Maxima is a system for the manipulation of symbolic and numerical expressions, including differentiation, integration, Taylor series, Laplace transforms, ordinary differential equations, systems of linear equations, polynomials, sets, lists, vectors, matrices and tensors. Maxima yields high precision numerical results by using exact fractions, arbitrary-precision integers and variable-precision floating-point numbers. Maxima can plot functions and data in two and three dimensions. The Maxima source code can be compiled on many systems, including Windows, Linux, and MacOS X. The source code for all systems and precompiled binaries for Windows and Linux are available at the SourceForge file manager.”

    tags: m maxima math software algebra

  • “Last year the Cuban government was interested in getting its hands on analytics software to process the data generated by visitors on social networks. The idea was to quickly identify problems at government-run hotels and tourist facilities.”

    tags: m cuba analytics data

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What I’m Reading on 05/07/2015

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Daily Math and Data Science Reading for 05/06/2015

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What I’m Reading on 05/06/2015

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Daily Math and Data Science Reading for 05/05/2015

  • “That’s why New York University’s Center for Data Science and NVIDIA are teaming up to develop next-gen deep learning applications and algorithms for large-scale GPU-accelerated systems.”

    tags: m nyu deep learning research

  • “As part of our ongoing series of interviews surveying the frontiers of machine intelligence, I recently interviewed Reza Zadeh. Reza is a Consulting Professor in the Institute for Computational and Mathematical Engineering at Stanford University and a Technical Advisor to Databricks. His work focuses on Machine Learning Theory and Applications, Distributed Computing, and Discrete Applied Mathematics.”

    tags: m machine learning

  • “This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.”

    tags: m machine learning

  • “With the advent of massively parallel computing coprocessors, numerical optimization for deep-learning disciplines is now possible. Complex real-time pattern recognition, for example, that can be used for self driving cars and augmented reality can be developed and high performance achieved with the use of specialized, highly tuned libraries.”

    tags: m optimization deep learning

  • “So, what if you need to program them yourself? What are the pitfalls? How do you draw them? What are the bounding boxes, how do you determine intersections, how can you extrude a curve, in short: how do you do everything that you might want when you do with these curves? That’s what this page is for. Prepare to be mathed.”

    tags: math bezier curves geometry m

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What I’m Reading on 05/05/2015

  • “All that is well and good – for people who don’t mind talking to strangers. But as an introvert, one of the situations I hate most is making small talk with people I don’t know. Here’s how I’ve managed to strike the balance between meeting new people – and being exposed to interesting new ideas – and not having to initiate awkward conversations.”

    tags: bs networking hbr

  • “For all its benefits, one aspect of open source software does cause headaches: understanding the legal terms that control its development and use. For starters, scores of licenses have been created that the Open Source Initiative recognizes as meeting the definition of an “open source license.” While the percentage of these licenses that are in wide use is small, there are significant and important differences between many of these popular licenses. Moreover, determining what rights are granted in some cases requires referring to what the community thinks they mean (rather than their actual text), and in others by the context in which the license is used. “

    tags: bs open source patent

  • “It is practically impossible to imagine any dashboard without graphs and charts. They present complex statistics quickly and effectively. Additionally, a good graph also enhances the overall design of your website. In this article, I will show you some of the best JavaScript libraries for graphs / charts. These libraries will help you create beautiful and customisable charts for your future projects.”

    tags: bs javascript charts

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Daily Math and Data Science Reading for 05/04/2015

  • “The more I use Python, the more I like it. Here is yet another example of why. I looked for Sudoku solvers written in Python and found quite a few. I particularly like the one Peter Norvig describes in Solving Every Sudoku Puzzle. As a matter of fact Peter wrote a constraint programming solver tailored to Sudoku. I recommend reading his blog entry if you want to learn Python. I also recommend it if you want to understand the basics of a constraint programming (CP) solver. Indeed, his CP solver is well designed, even if it only solves Sudoku.”

    tags: m sudoku python

  • “In this video, first in a series from IBM developerWorks, some of IBM’s prominent female technical leaders share their experience and insight on topics related to their work, careers, and current and future technologies.”

    tags: m technology women

  • “Of all the books that tackle these issues, Reinhart’s is the most succinct, accessible and accurate assessment of the statistical flaws that render many scientific studies suspect. Testing multiple hypotheses at once, on samples that are too small, using invalid tests, without specifying ahead of time how the data will be analyzed, are all a) very common practices and b) guaranteed to produce many wrong results. And as Reinhart astutely notes, virtually all the incentives in the scientific enterprise (such as getting published and getting tenure) encourage such bad practices and offer no rewards for people who want to do statistics right.”

    tags: m statistics wrong science

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What I’m Reading on 05/04/2015

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Daily Math and Data Science Reading for 05/03/2015

  • “Similarity is the measure of how much alike two data objects are. Similarity in a data mining context is usually described as a distance with dimensions representing features of the objects. If this distance is small, there will be high degree of similarity; if a distance is large, there will be low degree of similarity. Similarity is subjective and is highly dependent on the domain and application.”

    tags: m similarity measures python

  • “Welcome to the fascinating world of the recommendation engine- this post will walk through the concepts, and later posts will teach you how to implement your own.”

    tags: m recommendation engines

  • “In 2010, French mathematician Cédric Villani received the Fields Medal, the most coveted prize in mathematics, in recognition of a proof which he devised with his close collaborator Clément Mouhot to explain one of the most surprising theories in classical physics. Birth of a Theorem is Villani’s own account of the years leading up to the award. It invites readers inside the mind of a great mathematician as he wrestles with the most important work of his career.
    But you don’t have to understand nonlinear Landau damping to love Birth of a Theorem. It doesn’t simplify or overexplain; rather, it invites readers into collaboration. Villani’s diaries, emails, and musings enmesh you in the process of discovery. You join him in unproductive lulls and late-night breakthroughs. You’re privy to the dining-hall conversations at the world’s greatest research institutions. Villani shares his favorite songs, his love of manga, and the imaginative stories he tells his children. In mathematics, as in any creative work, it is the thinker’s whole life that propels discovery–and with Birth of a Theorem, Cédric Villani welcomes you into his.”

    tags: m french mathematics

  • “Villani has been called the Lady Gaga of French mathematicians. After winning the Fields Medal, math’s highest honor, in 2010, for what his award citation called “proofs of nonlinear Landau damping and convergence to equilibrium for the Boltzmann equation,” he embraced a role that many other medalists have dreaded—that of mathematical ambassador, hopscotching from event to event and continent to continent, evangelizing for the discipline.”

    tags: m french mathematics

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What I’m Reading on 05/03/2015

  • “When confronted with a tangle of spindly clematis vines to prune, many gardeners get no further than scratching their heads and wondering where to begin. The confusion is most likely caused by the specific pruning needs of the many species and varieties. Some clematis vines like to be cut to the ground each year. Others just need a simple shearing to keep them looking good. But how do you know what kind of pruning a clematis needs? The key to success is figuring out which of the three pruning groups your clematis belongs to. By identifying the group and following the instructions, the task will seem much less daunting.”

    tags: bs gardening clematis

  • ” Warning of an “innovation deficit,” scientists at the Massachusetts Institute of Technology say declining government spending on basic research is holding back potentially life-saving advances in 15 fields, from robotics and fusion energy to Alzheimer’s disease and agriculture. “

    tags: bs science spending u s decline mit

  • “The raywenderlich.com Tutorial Team is known for making the highest quality tutorials available online. It’s awesome how far we’ve come, but we think we can do even better!”

    tags: bs ios android unity authors editors

  • “Pattern matching is a staple of functional languages. At its core, Swift is primarily an object-oriented language, like Objective-C is. However, there are many advantages to the way more functional style languages like Haskell and Erlang do things that the designers of Swift decided to include. Pattern matching in particular, saves us having to type much longer, and less readable statements to do the same checks.”

    tags: bs swift pattern matching

  • “You can’t judge a book by its cover, or a Linux by its interface. If you glance at Ubuntu 15.04, Vivid Vervet, you won’t see a lot different from Ubuntu 14.10. Don’t let first impressions fool you. Underneath that slick Unity 7.x interface, there’s a lot of changes.”

    tags: bs ubuntu

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