Daily Math Stuff 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…

Continue reading

Daily Math Stuff 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…

Continue reading

Daily Math Stuff 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…

Continue reading

Daily Math Stuff 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…

Continue reading

Daily Math Stuff 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…

Continue reading

Daily Math Stuff 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…

Continue reading

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.”…

Continue reading

Daily Math Stuff 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…

Continue reading

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…

Continue reading

Daily Math Stuff 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…

Continue reading

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…

Continue reading

Daily Math Stuff 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…

Continue reading

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…

Continue reading

What I’m Reading on 04/28/2015

How to Configure Drupal with MongoDB Replica Set | Severalnines “Drupal’s modular setup allows for different datastores to be integrated as modules, this allows sites to store different types of Drupal data into MongoDB. You can choose to store Drupal’s cache, session, watchdog, block information, queue and field storage data…

Continue reading

What I’m Reading on 04/21/2015

Developer Economics Q1 2015: State of the Developer Nation – Developer Economics “The 8th edition State of the Nation report features all the latest trends in mobile and IoT development, including platform and language prioritisation, revenues and revenue models, tool adoption and more. It also examines the rise of Swift,…

Continue reading

What I’m Reading on 04/05/2015

Karatsuba algorithm – Wikipedia, the free encyclopedia “The Karatsuba algorithm was the first multiplication algorithm asymptotically faster than the quadratic “grade school” algorithm. The Toom–Cook algorithm is a faster generalization of Karatsuba’s method, and the Schönhage–Strassen algorithm is even faster, for sufficiently large n.” tags: bs karatsuba algorithm Multiplication US…

Continue reading

What I’m Reading on 04/03/2015

Swift Standard Library: Documented and undocumented built-in functions in the Swift standard library – the complete list with all 74 functions | practicalswift.com “This article lists all built-in Swift functions – both documented and undocumented ones. The definition used for “built-in function” used in this article is a function available…

Continue reading

What I’m Reading on 03/23/2015

Online Education in Analytics and Data Science | bicorner.com “Several people have asked me for advice about education and training in Analytics and Data Science, so I wrote this article. For our purpose here, I include Analytics, Data Mining, and Data Science degree program, certificate, training, and certification programs. This…

Continue reading

What I’m Reading on 03/05/2015

To Bring Virtual Reality to Market, Furious Efforts to Solve Nausea – NYTimes.com “Few technologies have generated more attention than virtual reality, which promises to immerse people in 3-D games and video. Yet for the last couple of years, the companies building virtual reality headsets have begged for patience from…

Continue reading

What I’m Reading on 02/10/2015

Swift 1.2 and Xcode 6.3 beta – Swift Blog – Apple Developer “Today Swift 1.2 was released as part of Xcode 6.3 beta. This beta release includes a significantly enhanced Swift compiler, as well as new features in the Swift language itself. For the complete list of changes, read the…

Continue reading

What I’m Reading on 01/26/2015

The Strangely Competitive World of Sci-Fi Writing Workshops | WIRED “Each summer budding authors flock to writing workshops like Clarion, Clarion West, and Odyssey, which help prepare students for a career in fantasy and science fiction by offering them the chance to work closely with established pros in the field.…

Continue reading

What I’m Reading on 01/17/2015

​Java and JavaScript rule but use of Apple’s Swift language skyrockets | ZDNet “Apple only released version 1.0 of Swift in September but the replacement to Objective-C is already the 22nd most popular language, up 46 spots from three months ago, according to analyst firm RedMonk’s language rankings for the…

Continue reading

2015 is Not the Year of Big Data, Big Data Was and Is Here to Stay

It’s the beginning of a new year and we’re being flooded with predictions, retrospectives, and catchy headlines to make us read articles about our favorite topics. One that I have seen more than once is “2015: The Year of Big Data.” I thought 2013 and 2014 were the Years of…

Continue reading

What I’m Reading on 01/02/2015 – Big Data Predictions Edition

No endorsements of any of these by me, but a roundup of what people think will happen in 2015. It’s always a good idea to subtract “my company, product, or open source project interests” from so-called objective predictions. Investment banks pile into big data analytics /Euromoney magazine “Goldman Sachs has…

Continue reading

What I’m Reading on 01/01/2015

Breakthroughs in Artificial Intelligence from 2014 | MIT Technology Review “The holy grail of artificial intelligence—creating software that comes close to mimicking human intelligence—remains far off. But 2014 saw major strides in machine learning software that can gain abilities from experience. Companies in sectors from biotech to computing turned to…

Continue reading