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DataCamp Weekly: Start learning ML, Keras in R, Data viz pitfalls, web scraping in R and more!

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datacamp.com

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team@datacamp.com

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Wed, Jul 5, 2017 03:04 PM

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Learning ML, Keras in R, Data viz pitfalls, web scraping in R and more! DataCamp Weekly Issue #4 ?

Learning ML, Keras in R, Data viz pitfalls, web scraping in R and more! [DataCamp]( DataCamp Weekly Issue #4 ― July 5, 2017 Hi everyone! For those in the US, we hope you had a great 4th of July weekend! This week we’re talking about how to start learning ML, Keras in R, Data viz pitfalls, web scraping in R and more! 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 [How does a total beginner start to learn machine learning?]( Where to start learning ML? How to implement these new concepts? DataCamp’s Karlijn Willems answers these questions by offering very useful tips that helped her become proficient. Great resource. [quora.com]( [keras: Deep Learning in R]( Short introduction to Deep Learning in R. Big news in the R world: Keras is now available as an R package. Check out this tutorial to get started. [datacamp.com]( [How to Make a Histogram with Basic R]( How do you create a histogram in R? This refactored post explored 3 options when creating this popular plot type: ggplot2, ggvis, basic R commands. Great tutorial for beginners and intermediates. [datacamp.com]( [Reproducing the WSJ Measles Vaccination Chart Using R]( Learn how to recreate and animate a popular WSJ graphic using R. This walkthrough with code examples is fun and shows you how to recreate an iconic data visualization in a few steps. [mikelee.co]( [A gallery of interesting Jupyter Notebooks]( Wonderful collection of Jupyter notebooks covering scientific computing, to general programming, all things Python, Julia etc. Great overview and worth a look. [github.com]( [Data Visualization Pitfalls to Avoid]( Long read by Tamara Munzner outlining data visualization pitfalls to avoid. High-quality resource by an expert in data visualization. [cs.ubc.ca]( In The News [The data engineering ecosystem in 2017]( What is the state of the data engineering ecosystem in 2017? Find out in this article as it discusses industry trends in technology used and more. [blog.insightdatascience.com]( [Applying Deep Learning to Real-world Problems]( 3 interesting lessons learned by the co-founder of Merantix when using deep learning to solve real-world problems. Good read for those using deep learning techniques professionally. [kdnuggets.com]( [Web Scraping with R: Online Food Blogs Example]( Burak Himmetoglu teaches us how to scrape the web using R, and uses food blogs as an example. Great weekend project to try out. [kdnuggets.com]( [Bar Plots and Modern Alternatives]( Looking to modernize your bar plots? This tutorial shows you how to create basic and ordered box plots, as well as modern alternatives such as lollipop charts and cleveland’s dot plots. [sthda.com]( Elsewhere - [Hacking statistics or: How I Learned to Stop Worrying About Calculus and Love Stats Exercises (Part-1)]( - [How to build a data science pipeline]( Jobs - [Data Analyst at plan.com, Isle of Man]( - [Data Scientist - Health at Quartet, NYC]( - [Machine Learning Engineer at Phenom People, Hyderabad]( --------------------------------------------------------------- See something interesting? Share via [Facebook]( [LinkedIn]( [Twitter](. That's all for now. Have a great week! DataCamp Inc. 2067 Massachusetts avenue Cambridge MA 02140 [Unsubscribe](

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