Create Mathematical Art

Data Nerdism at Large. 10 tips for Data Scientists. Pickle in Python. DPLYR tutorial series. Implementing Autoencoders and more!  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  [DataCamp](  ISSUE #42 — APRIL 10, 2018  [DataCamp Weekly]( DataCamp Weekly Happy Tuesday! This week’s issue contains a variety of data science news and tutorials. Including data nerdism, autoencoders in Keras, Math art with R, NLP & more! But before that we need your help: Have you been promoted or made a career switch with the help of the skills you learned from DataCamp? We would love to hear from you and potentially feature you on our site! Fill out this [quick survey]( (5min max) and we’ll reach out! [Read More](  Community Top Posts  [1]( [Data Nerdism at Large (with Mara Averick)](  PODCAST  | 10 Upvotes   | 0 Comments   | Posted by hugobowne  Mara Averick, self-labeled data nerd and Tidyverse developer advocate at RStudio, speaks with Hugo about all things data: what it means to be a data nerd and how data science impacts all of our lives from thinking about toxicology to sports analytics to data for social good and civic tech.  [2]( [Great dplyr (R package) Tutorial Series](  DPLYR  | 7 Upvotes   | 2 Comments   | Posted by sebm  This tutorial series shows the power of the dplyr package. Great for learning about it but also for looking up easy ways to transform your data if you already know dplyr.  [3]( [Implementing Autoencoders in Keras: Tutorial](  NEURAL NETWORKS  | 6 Upvotes   | 0 Comments   | Posted by adityasharma101993  Learn all about autoencoders in deep learning and implement a convolutional and denoising autoencoder in Python with Keras to reconstruct images.  [4]( [Comparing plotly and ggplotly Plot Generation Times](  GGPLOT2  | 6 Upvotes   | 0 Comments   | Posted by Theo Roe  Would it be quicker to use plot_ly() or wrapping a ggplot2 object in ggplotly()? The answer is quite surprising.  [5]( [Create Mathematical Art with R](  R PROGRAMMING  | 6 Upvotes   | 0 Comments   | Posted by karlijn  Learn how to draw plants, mollusk shells, butterflies, hearts, and more with mathematics in this tutorial with code samples!  [6]( [Emmanuel Macron on France's AI Strategy](  AI  | 5 Upvotes   | 1 Comment   | Posted by davidcoxon  This week, French president Emmanuel Macron, gave a speech laying out a national strategy for artificial intelligence in his country. The French government will spend 1.5 billion ($1.85 billion) over five years to support research in the field, encourage startups, and collect data.  [7]( [10 Tips for Data Scientists Navigating Today's Market](  CAREER  | 5 Upvotes   | 0 Comments   | Posted by lindaburtch  The explosion of interest in data science over the past few years has changed the hiring landscape for data scientists. Here's advice for those looking to navigate today's hot market.  [8]( [Data Science Resources!](  LEARNING DATA SCIENCE  | 5 Upvotes   | 0 Comments   | Posted by gardnercw  A great list of blogs, books, and more for data science learning.  [9]( [Pickle in Python: Object Serialization](  PYTHON  | 5 Upvotes   | 0 Comments   | Posted by theov  Discover the Python pickle module: learn about serialization, when (not) to use it, how to compress pickled objects, multiprocessing, and much more!  [10]( [Natural Language Processing (NLP) & NLTK](  NLP  | 5 Upvotes   | 0 Comments   | Posted by rizwankhn2003  Natural language processing is a field concerned with the ability of a computer to understand, analyze, manipulate, and potentially generate human language. This article explains Natural Language Processing (NLP) with few examples and gives an overview of a Python tool called 'NLTK'.   [DataCamp Community]( BY THE COMMUNITY, FOR THE COMMUNITY [Discover](  Time Series Forecasting Methods Utilizing ggplot2, forecast and Plotly   That's all for now. Have a great week!   [DataCamp] [DataCamp](  DataCamp Inc. | 350 Fifth Avenue | Suite 7730 | New York, NY 10118  [Facebook] [Facebook]( [Twitter] [Twitter]( [LinkedIn] [LinkedIn]( [YouTube] [YouTube](  [Unsubscribe]( Â