Summer reading list. C-suite analytics. Cryptocurrency analysis. TensorFlow tutorials. PyData 101. Visualization how-to.
Curated Jupyter notebooks. Data engineering ecosystem. Real-world modeling. Web scraping tutorial. Data viz pitfalls.
What are you reading? Hacking history. Infrastructure guidelines: small/medium/big data. Deep learning foundations. Datashader.
Paradoxes of probability. AI startup opportunities. R in production. Time series anomalies. Network viz.
Hands-on ML. Big BS. Algorithmic trading. You're not ready for AI. Crowdsourcing analysis.
Distributed tyrants. AI at work. Productivity for data science. Build your own DL box. Problems w/ maps.
Not-Hotdog classifier. Production machine learning. Garry Kasparov on AI. Data viz w/ Python. Deep learning in the real world.
Promise of AI. Measuring repetition. Cracking privacy. SQL for your file system. OpenVis presentations.
Best AI tools - personal edition. Top DS Python libs. Weaponized data. AI traders. Data Mart. Automated Machine Learning. All the President's Guests.
Criminal minds. Bad at math? Profiling craft beers. Spatial search. Deep learning recommender. Every ML course ranked. Same stats, different graphs.