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:
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.
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?
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/
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 firstname.lastname@example.org.
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/
The new L Series virtual machines are ideal for MongoDB, Cassandra, and other low latency databases. Microsoft has made the series available in select regions with up to 32 CPU Cores driven by Intel’s Xeon 55 v3 processors.
People looking to learn cutting-edge technology skills can now sign up to a Microsoft apprenticeship programme that teaches them about cloud computing.