Variation de Température
Hier, je suis tombé (via limportant.fr/) sur un documentaire intéressant, en ligne sur francetvinfo.fr/monde/environnement/. Mais le passage du début (retranscrit sur le site) m’a laissé une impression très étrange, …
Mathematical Statistics Lesson of the Day – Basu’s Theorem
Today’s Statistics Lesson of the Day will discuss Basu’s theorem, which connects the previously discussed concepts of minimally sufficient statistics, complete statistics and ancillary statistics.
GitHub Special: Data Scientists to Follow & Best Tutorials on GitHub
Here’s is a compiled list of most influential data scientists on Github to follow. These data scientists are experts in their respective field which ranges from python, machine learning, neural nets, data visualization, deep learning, data science etc.
Awesome Recurrent Neural Networks
A curated list of resources dedicated to recurrent neural networks (closely related to deep learning).
West Nile Virus Competition Benchmarks & Tutorials
Last week we shared a blog post on visualizations from the West Nile Virus competition that brought the dataset to life. Today we’re highlighting two tutorials and three benchmark models that were uploaded to the competition’s scripts repository. Keep reading to learn how to simplify the time consuming and often overwhelming process of wrangling complex datasets, validate your model and avoid being mislead by the leaderboard, and create high performing models using XGBoost, Lasagne, and Keras.
To Code or Not to Code with KNIME
Find out how KNIME allows us to integrating analytical languages, such as R and Python and visual design of SQL code. Also, learn to integrate your hadoop, visualization and ELT systems with the KNIME.
Using Azure as an R datasource Part 3: Pulling data from MySQL/MariaDB to Linux
This post is the third in a series that covers pulling data from Microsoft SQL Server or MySQL/MariaDB on Azure to an R client on Windows or Linux.
This R Data Import Tutorial Is Everything You Need
You might find that loading data into R can be quite frustrating. Almost every single type of file that you want to get into R seems to require its own function, and even then you might get lost in the functions’ arguments. In short, it can be fairly easy to mix up things from time to time, whether you are a beginner or a more advanced R user…
R Markdown Articles
• Introduction to R Markdown
• Introduction to interactive documents
• R Markdown integration in the RStudio IDE
• Get verbatim R chunks into R Markdown