Yesterday in Data Science – March 28th 2017

My family and I love boardgames.  We are also on the lookout for new ones that would fit with the ones we already like to play.  So I decided to create a boardgame recommendation websitehttps://larrydag.shinyapps.io/boardgame_reco/I built it using R.  The recommendation engine uses a very simple collaborative filtering algortihm based on correlation scores from other boardgame players collection lists.  The collections are gathered using the API from BoardgameGeek.com.  It is very much in a beta project phase as I just wanted to get something built to get working. I also wanted another project to build in Shiny.  I really like how easy it is to publish R projects with Shiny. Some of the features include:Ability to enter your own collectionGet recommendation on your collectionAmazon link to buy boardgame that is recommendedIts a work in progress.  There is much to clean up and to make more presentable.  Please take a look and offer comments to help improve the website.
More details at… http://feedproxy.google.com/~r/RBloggers/~3/yDLMYMxmADY/

Le Monde mathematical puzzle launched a competition to celebrate its 1000th puzzle! A fairly long-term competition as it runs over the 25 coming puzzles (and hence weeks). Starting with puzzle #1001. Here is the 1000th puzzle, not part of the competition: Alice & Bob spend five (identical) vouchers in five different shops, each time buying […]
More details at… http://feedproxy.google.com/~r/RBloggers/~3/DvqCrUpnd7Y/

Redmonk have once again updated (a little later than usual) their bi-annual programming language report with their January 2017 rankings. If you haven’t come across these rankings before, they are based on GitHub contributions and StackOverflow questions related to around 40 commonly-used programming languages. The raw data (as of January 2017) is shown below — as you might guess from the appearance of the chart, the analysis for the rankings is done in R. Languages used by data scientists rank highly in this metric. Python is ranked #3 (up from #4 in the June 2016 rankings). R is ranked #14,…
More details at… http://feedproxy.google.com/~r/RBloggers/~3/qnWHnLp6t6Y/

@eddelbuettel’s idea is a good one. (it’s a quick read…jump there and come back). I often wait for a complete example or new package announcement to blog something when a briefly explained snippet might have sufficient utility for many R users. Also, tweets are fleeting and twitter could end up on the island of misfit… Continue reading →
More details at… http://feedproxy.google.com/~r/RBloggers/~3/W0u71o3LKYE/

In order to get the discount, simply click choose a link below and when paying use the promo code: ENDMARCH10 Udemy is offering readers of R-bloggers access to its global online learning marketplace for only $10 per course! This deal (offering over 50%-90% discount) is for hundreds of their courses – including many R-Programming, data science, machine learning etc. Click here to browse ALL (R and non-R) courses Advanced R courses:  The Comprehensive Programming in R Course (25 Hours of video) Bayesian Computational Analyses with R (12 Hours of video) R Programming for Simulation and Monte Carlo Methods (12 Hours of video) Applied Multivariate Analysis with R (13 Hours of video) Linear Mixed-Effects Models with R (11 Hours of video) Graphs in R (ggplot2, plotrix, base R) – Data Visualization with R Programming Language (5 Hours of video) Multivariate Data Visualization with R (7 Hours of video) More Data Mining with R (11 Hours of video) Text Mining, Scraping and Sentiment Analysis with R (4 Hours of video) Programming Statistical Applications in R (12 Hours of video) Comprehensive Linear Modeling with R (15 Hours of video) Time Series Analysis and Forecasting in R (3 Hours of video) Introductory R courses:  Introduction to R (15 Hours of video) Applied Data Science with R (11 Hours of video) R Level 1 – […]
More details at… http://feedproxy.google.com/~r/RBloggers/~3/sxLaZ3IEI80/

Speaking publicly about your data science projects is one of the best things you can do for your portfolio. Writing your presentation will help you refine…
The post How to Reach More People with your Next Data Science Talk appeared first on AriLamstein.com.
More details at… http://feedproxy.google.com/~r/RBloggers/~3/I0ZibSo4Xhg/

Data science enhances people’s decision making. Doctors and researchers are making critical decisions every day. Therefore, it is absolutely necessary for those people to have some basic knowledge of data science. This series aims to help people that are around medical field to enhance their data science skills. We will work with a health related […]
Related exercise sets:Data science for Doctors: Inferential Statistics Exercises (part-2)
Data Science for Doctors – Part 4 : Inferential Statistics (1/5)
Data Science for Doctors – Part 2 : Descriptive Statistics
Explore all our (>1000) R exercisesFind an R course using our R Course Finder directory
More details at… http://feedproxy.google.com/~r/RBloggers/~3/Zg21klVryDQ/

This is my first article in a two-part series introducing stock data analysis using R.
More details at… http://feedproxy.google.com/~r/RBloggers/~3/dBqM2f180EM/

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Google Develops A Deep Learning Machine That Could Learn As Fast As Humans

The prospect that artificial intelligence (AI) might one day surpass human intelligence is one that many people, including a number of notable personalities, are terrified of. And it’s not hard to see where that fear is coming from.

As it is, deep learning machines have already shown a number of ways where they outperform humans. So far, they can play video games, recognize faces, and even do stock market trading. There’s one area, though, where humans are still superior, and that’s the speed at which we learn.

http://wallstreetpit.com/113138-google-deep-learning-machine-learns-fast-humans/?utm_content=buffer311cf&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer

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Tutorial at O’Reilly AI Conference, NYC, June 27-29 2017

Do you have a lot of unstructured, comment or other “note type” data? Would you like to learn how to extract actionable business insights from this data?

My colleague (Galiya Warrier) and I will be running a tutorial, at the O’Reilly AI conference in June, where we will teach you how to do just that.

In this tutorial, we’ll get you to extract key information from the unstructured data, by getting you to train a Named Entity Recognizer. Using those entities, you’ll create a graph database with the weighted edges showing relationships between the entities. Finally, we’ll close out the tutorial by leading you through the process of querying the graph data by the use of natural language using a conversational interface chatbot.

For more information check out the link here:
https://conferences.oreilly.com/artificial-intelligence/ai-ny/public/schedule/detail/58367

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An AI Just Defeated Human Fighter Pilots in An Air Combat Simulator

Retired United States Air Force Colonel Gene Lee recently went up against ALPHA, an artificial intelligence developed by a University of Cincinnati doctoral graduate. The contest? A high-fidelity air combat simulator.

And the Colonel lost.

And the software runs on a $35 Raspberry Pi.

https://futurism.com/an-ai-just-defeated-human-fighter-pilots-in-an-air-combat-simulator/

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Shedding light on solar potential in all 50 U.S. States

Solar power is an abundant, low carbon source of electricity, but historically it has been more expensive than traditional electricity. With solar costs dropping dramatically, many people are starting to ask: does solar power make sense on my rooftop?

https://blog.google/products/maps/shedding-light-solar-potential-all-50-us-states/

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Yesterday in Data Science – 20th March 2017

MilanoR is a free event, open to all R users and enthusiasts or those who wish to learn more about R. The meeting consists of two talks (this time one about big data and and one about statistical learning) + a free buffet and networking time
The post 8th MilanoR Meeting: April 5th appeared first on MilanoR.
More details at… http://feedproxy.google.com/~r/RBloggers/~3/3rmV9LXbYuU/

I found recently, that in addition to a great list of cheatsheets designed by RStudio, one can also download a template for new cheatsheets from RStudio Cheat Sheets webpage. With this template you can design your own cheatsheet, and submit it to the collection of Contributed Cheatsheets (Garrett Grolemund will help to improve the submission … Czytaj dalej DIY – cheat sheets
More details at… http://feedproxy.google.com/~r/RBloggers/~3/7q3ujja1_XQ/

Like I mentioned in my last blog post, I am contributing to a session at userR 2017 this coming July that will focus on discovering and learning about R packages. This is an increasingly important issue for R users as we all decide which of the 10,000+…
More details at… http://feedproxy.google.com/~r/RBloggers/~3/OF_ThiccLtw/

Our book Practical Data Science with R has just been reviewed in Association for Computing Machinery Special Interest Group on Algorithms and Computation Theory (ACM SIGACT) News by Dr. Allan M. Miller (U.C. Berkeley)! The book is half off at Manning form March 21st 2017 using the following code (please share/Tweet): Deal of the Day … Continue reading Practical Data Science with R: ACM SIGACT News Book Review and Discount!
More details at… http://feedproxy.google.com/~r/RBloggers/~3/U8VMB5_0T_E/

A story about one of the retail chains (J.C. Penny) releasing their list of stores closing in 2017 crossed paths with my Feedly reading list today and jogged my memory that there were a number of chains closing many of their doors this year, and I wanted to see the impact that might have on… Continue reading →
More details at… http://feedproxy.google.com/~r/RBloggers/~3/-Eq9JvUXcws/

The plotly R package will soon release version 4.6.0 which includes new features that are over a year in the making. The NEWS file lists all the new features and changes. This webinar highlights the most important new features including animations and multiple linked views. Concrete examples with code that you can run yourself will […]
More details at… http://feedproxy.google.com/~r/RBloggers/~3/sk5tgf2dkpQ/

Data science enhances people’s decision making. Doctors and researchers are making critical decisions every day. Therefore, it is absolutely necessary for those people to have some basic knowledge of data science. This series aims to help people that are around medical field to enhance their data science skills. We will work with a health related […]
Related exercise sets:Data Science for Doctors – Part 4 : Inferential Statistics (1/5)
Data Science for Doctors – Part 2 : Descriptive Statistics
Data Science for Doctors – Part 3 : Distributions
Explore all our (>1000) R exercisesFind an R course using our R Course Finder directory
More details at… http://feedproxy.google.com/~r/RBloggers/~3/LPx9V-GrmEQ/

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Yesterday in Azure – 20th March 2017

We are excited to announce the general availability of Azure SQL Data Warehouse in four additional regions—Germany Central, Germany Northeast, Korea Central, and Korea South. This takes the SQL Data…
More details at… https://azure.microsoft.com/blog/azure-sql-data-warehouse-now-generally-available-in-27-regions-worldwide/

Hilary Cotter and Alberto Morillo top the Overall and Cloud database lists this month. For questions related to this leaderboard, please write to leaderboard-sql@microsoft.com.
More details at… https://azure.microsoft.com/blog/february-2017-leaderboard-of-database-systems-contributors-on-msdn/

Last year in October we released the preview of Azure Analysis Services, which is built on the proven analytics engine in Microsoft SQL Server Analysis Services. With Azure Analysis Services you can host semantic data models in the cloud. Users in your organization can then connect to your data models using tools like Excel, Power BI, and many others to create reports and perform ad-hoc data analysis. I joined Jeremy Chapman on Microsoft Mechanics to discuss the benefits of Analysis Services in Azure.
More details at… https://azure.microsoft.com/blog/an-introduction-to-azure-analysis-services-on-microsoft-mechanics/

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