The Current State of Data Science

R waffle package, 3 things learned from JupyterCon, castleofr package, AI regulation [DataCamp]( DataCamp Weekly Issue #14 ― September 12, 2017 Hi there - as always we’re on top of recent data science readings and projects to share with you. And this week we have a really cool collection of content. Starting off with advice from DataCamp subscribers to you, followed by 3 things learned at the first ever JupyterCon, building infographic-style charts using R waffle, the current state of applied data science and more! Looking for a job? A couple listings around the world are further down. Enjoy! Like what you’re seeing? Forward to a friend! Received this email from a friend? [Sign up]( for a DataCamp account to to receive a dose of data science every Tuesday. --------------------------------------------------------------- Projects & Resources [5 Pieces of Advice from DataCamp Subscribers]( We asked 5 DataCamp subscribers for the advice they wished they received when they started learning data science with DataCamp. They started off as beginners, now they are CTOs, data scientists, financial analysts and more. Check out what they have to say. [datacamp.com]( [You're in a room (the castleofr package)]( A text-based adventure for testing your skills in R. DataCamp user [@GioraSimchoni]( fourth package which he started after taking our [Object-Oriented Programming in R]( course! [giorasimchoni.com]( [Using K-means to find the optimal nodal center for Radial Bias Function]( DataCamp user bhaskarjit wrote a new tutorial on using K-means clustering to find out the optimal nodal point for radial basis functions neural networks. These functions are used in time series predictions, classification, function approximation etc. [analyticsdefined.com]( [Infographic-style charts using the R waffle package]( Here’s a tutorial on creating a waffle chart using the R waffle package. Infographics often feature these types of charts when showing “if X were 100 Y” data. Easy and fun tutorial. [nsaunders.wordpress.com]( In The News [3 Things I learned at JupyterCon]( DataCamp’s Hugo Bowne-Anderson attended the first ever JupyterCon conference a couple of weeks ago. Project Jupyter is more than the Jupyter Notebook, it’s a growing ecosystem according to Hugo. Read more. [datacamp.com]( [The current state of applied data science]( Great update on the current ecosystem of applied data science, delivered by Ben Lorica, Chief Data Scientist at O’Reilly Media. This article discusses trends in practical use of data science and bottlenecks in supervised learning. Great read. [oreilly.com]( [How to Regulate Artificial Intelligence]( This article discusses how to effectively regulate AI without slowing down progress. The author proposes 3 laws to regulate AI. Thought-provoking. [nytimes.com]( [4 Essential Tools any Data Scientist can use to improve their productivity]( What constitutes a data science stack? Find out some of the most important tools to run a data science project and how to install them in this tutorial. [analyticsvidhya.com]( Elsewhere - [Using python to work with time series data]( - [Automatically Write and Email Reports with R, SendGrid, & Displayr]( - [Naive Principal Component Analysis (using R)]( - [R with remote databases Exercises (Part-1)]( Jobs - [Data Scientist, Content at Spotify, NYC]( - [Data Scientist: Time Series at UBS, Shanghai]( - [Data Analyst/Scientist at Cisco, Bangalore]( - [Data Scientist at Hyperloop One, Los Angeles]( --------------------------------------------------------------- [Convincing]( --------------------------------------------------------------- That's all for now. Have a great week! DataCamp Inc. 2067 Massachusetts avenue Cambridge MA 02140 [Unsubscribe](