Data Science Most Read Articles

Abstraction: Curated quarterly top-read data science newsletter articles from 2013-2014

Key points:

• Most-read Q2 2014 articles covered: barriers to becoming a data scientist, Apache Spark growth, deep learning explainers (Schmidhuber talk), R for business, and data science salaries (base >$200K, mostly PhD-holders)
• Q1 2014 highlights: machine learning in 10 pictures, Flappy Bird reinforcement learning hack, Julia vs. Python/R debate for big data analytics, HFT with ML ($500K profit 2009-2010)
• Q4 2013 highlights: Python's rise for data science, Netflix's Scryer predictive autoscaling engine, Stanford NaSent deep-learning sentiment analysis, Uber's spatiotemporal data analysis
• Recurring themes across quarters: language wars (Python vs. R), career path guidance, ML applications, and tooling/workflow comparisons (KNIME, IPython, Spark)

Connections: Data Science Weekly · Data Science · Machine Learning · Deep Learning

Source: http://www.datascienceweekly.org/data-science-resources/data-science-newsletter-most-read-articles