Cheatsheets. Competitive Landscape for Machine Intelligence. Why data projects fail. A How-To for approaching large datasets. Tidy text mining.
Pandas tutorial. Becoming data-driven. Cognitive bias. Open data. Facial recognition. Deep Learning. R Graphs.
NumPy Tutorial. Machine intelligence startups. AWS Guide. Decentralized database. Graphs w/ R. AI futures.
Jupyter tips and tricks. Purpose-driven data. Machine Learning for engineers. DB design for startups. Data mining w/ Python.
R Notebooks. SQLite tutorial. Future of Deep Learning. Tuning machine learning algorithms. Python data viz options.
Machine learning myths. Stock market analysis tutorial, part 2. Language translation. Data science and engineering collaboration.
Data detective story. Stock market analysis tutorial. Reinforcement learning in a nutshell. Winning elections w/ analytics. Data viz w/ markdown.
Big Data gaps. Cookiecutter Data Science. Teaching analytics through football. Machine Learning in a year. Neural Network Zoo.
Salary Report. Data Engineering talent shortage. Causality primer. Language translation. Academic Torrents.
Python superpowers. Weapons of Math Destruction. Data science podcasts. Fast and light data compression. Classifiers with real-world data.