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

The State of Artificial Intelligence in Six Visuals — Medium “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…

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What I’m Reading on 08/20/2015

Skyscraper: A first-person 3D virtual skyscraper simulator “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,…

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

Beyond Just “Big” Data – IEEE Spectrum “Just how much information are we talking about here? Estimates vary widely, but big-data buffs sometimes speak of storage in units of brontobytes, a term that appears to be based on brontosaurus, one of the largest creatures ever to rattle the Earth.” tags:…

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

You Can Now Access All Of Richard Feynman’s Physics Lectures For Free “The lectures of Nobel Prize winning physicist Richard Feynman were legendary. Footage of these lectures does exist, but they are most famously preserved in The Feynman Lectures. The three-volume set may be the most popular collection of physics…

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What I’m Reading on 08/11/2015

CVS Health, IBM plot Watson deployment | ZDNet “The companies on Thursday outlined a partnership where CVS Health will use Watson to allow practitioners to tap health information, medical records, pharmacy, claims and other data from fitness devices to track progress and goals.” tags: bs cvs ibm watson IBM buys…

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

10 Common NLP Terms Explained for the Text Mining Novice – AnalyticBridge “We decided to put together a list of 10 common terms in Natural Language Processing which we’ve broken down in layman terms, making them easier to understand. So if you don’t know your “Bag of Words” from your…

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

A Visual Introduction to Machine Learning “In machine learning, computers apply statistical learning techniques to automatically identify patterns in data. These techniques can be used to make highly accurate predictions. “ tags: m machine learning visualization Posted from Diigo. The rest of my favorite links are here.

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What I’m Reading on 06/11/2015

Data Revolution Report – Data Revolution Group “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 Posted from Diigo. The rest…

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

The homalg project — Algorithmic Homological Algebra “The homalg project is a multi-author multi-package open source software project for constructive homological algebra.” tags: m algebra NTL: A Library for doing Number Theory “NTL is a high-performance, portable C++ library providing data structures and algorithms for manipulating signed, arbitrary length integers,…

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

Rayleigh–Bénard convection – Wikipedia, the free encyclopedia “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…

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

Bilinear interpolation – Wikipedia, the free encyclopedia “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 Trey Causey – Software development skills for data scientists “Data scientists often come from diverse…

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

Where Big Data Projects Fail – Data Science Central “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…

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

Python, Predictive Analytics & Big Data oh my! “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…

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

Watson Analytics Pro rolls out with added database, collaboration support | ZDNet “The professional edition comes with several upgrades IBM has been promising since it launched the commercialized analytics service last year, including increased collaboration capabilities, expanded database support and connectors to cloud storage providers.” tags: m watson analytics ibm…

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

R, Python, MATLAB, & Excel Dashboards & Graphs with D3.js & WebGL | Modern Data “Web tools like D3.js and WebGL let you make beautiful, interactive 2D and 3D graphs. You can now publish graphs and dashboards with these technologies using Python, R, MATLAB, & Excel. Publishing and sharing is…

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

Why picking a college roommate is now like online dating – CNET “Some colleges are now using software programs and algorithms to pair up first-year students. Much like online dating, it’s all based on compatibility.” tags: m picking college online dating Perform text analytics with Bluemix analytics services “This tutorial…

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

The Top 5 Challenges Facing Big Data Startups Today “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…

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What I’m Reading on 05/07/2015

Battle over app analytics accelerates with Apple’s entry | PCWorld “With Apple offering its own tool for developers to see how their apps are selling, pressure is on specialist vendors to improve their offerings. On Wednesday, App Annie announced it had acquired mobile measurement company Mobidia to do just that.”…

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

Polar coordinate system – Wikipedia, the free encyclopedia “In mathematics, the polar coordinate system is a two-dimensional coordinate system in which each point on a plane is determined by a distance from a reference point and an angle from a reference direction.” tags: m polar coordinates Fifty Famous Curves Cartesian,…

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

NYU to Advance Deep Learning Research with Multi-GPU Cluster “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 On the evolution of machine learning – O’Reilly Radar…

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

Solving The Hardest Sudoku In Python With DOcloud (IT Best Kept Secret Is Optimization) “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…

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What I’m Reading on 05/04/2015

The Free ‘Big Data’ Sources Everyone Should Know – Data Science Central “Any company, from big blue chip corporations to the tiniest start-up can now leverage more data than ever before. Many of my clients ask me for the top data sources they could use in their big data endeavour…

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

Implementing the Five Most Popular Similarity Measures in Python – Dataconomy “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…

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What I’m Reading on 05/03/2015

Pruning Clematis | Fine Gardening “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…

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Daily Math and Data Science Reading for 05/02/2015

Rise Of The Quants – Again | TechCrunch “Taking advantage of these opportunities isn’t easy. It requires a tight interlock between knowing the business problem worth tackling and the technical skills to actually tackle them – data, technology and algorithms.” tags: m quants SymPy “SymPy is a Python library for…

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What I’m Reading on 05/02/2015

Using machine learning on Call of Duty game to detect cheating behaviour – CIO “Speaking at the recent Predictive Analytics World conference in San Francisco, Activision’s director of analytic services, Josh Hemann, spoke about how different classification algorithms are helping the game creator effectively referee millions of game matches played…

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