Building a Neural Network During Lunch Break

Making R code faster. Python Data Structures. AWS for Beginners. Version Control for Data Science and more! [DataCamp]( DataCamp Weekly Issue #27 ― December 12, 2017 Good morning, DataCamp Weekly readers. This week we’ll show you how to make your R code faster and how to build a Neural Network during lunch break. We'll also introduce you to Python Data Structures, installing Python packages from Jupyter Notebook, and more! We hope you enjoy this one. 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 [Python Data Structures Tutorial]( Get introduced to Python data structures: learn more about data types and primitive as well as non-primitive data structures, such as strings, lists, stacks, and more in this tutorial! [datacamp.com]( [Convolutional Neural Networks in Python with Keras]( Learn how to implement Convolutional Neural Networks (CNNs) in Python with Keras, and how to overcome overfitting with dropout in this tutorial. Great read! [datacamp.com]( [AWS EC2 Tutorial For Beginners]( Discover why you should use Amazon Web Services Elastic Compute Cloud (EC2) and how you can set up a basic data science environment on a Windows instance. [datacamp.com]( [Installing Python Packages from a Jupyter Notebook]( Jake VanderPlas sheds some light on a common problem faced by many data scientists using Jupyter Notebook: the installer points to a different Python version than the notebook is using. This article gives a thorough overview of installing Python packages in Jupyter Notebook to solve this, and the intricacies behind it. [jakevdp.github.io]( In the News [Version Control For Data Science]( Discover how to overcome the steep learning curve of version control for data science, while also taking into account best practices and recommendations in this must-read post by DataCamp’s Greg Wilson. [datacamp.com]( [Unsupervised Image-to-Image Translation Networks]( Fascinating visual which shows an AI-generated copy of a picture, but in a different season. A picture of a road in summer is generated by an AI using a picture of the same road in winter. Could you have guessed that the pictures on the right were created by an AI? [research.nvidia.com]( [Making R Code Faster: A Case Study]( Great post to learn more about how R works under the hood, and how to optimize it to be faster. Interesting tips and techniques that will enable you to run R code hundreds of times, smoothly. [robinsones.github.io]( [Fueling growth through data monetization]( Data-focused businesses are becoming more common, but few have found an appropriate business model. McKinsey ran a survey to assess the impact of data across multiple industries and companies’ strategies to monetize it. The results were quite interesting. [mckinsey.com]( Elsewhere • [jmv – one R package (not just) for the social sciences]( • [Top 10 AI technology trends for 2018]( • [Today I Built a Neural Network During My Lunch Break with Keras]( • [51 Artificial Intelligence (AI) Predictions For 2018]( Jobs • [Data Scientist (Growth), DataCamp, NYC]( • [Data Science Content Developer, DataCamp, NYC]( 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](