Bad science? Machine Learning 101. SQL window functions. Excel with pandas. Learned indexes.
Monetizing data. Fixing stats. AI 2018: industry insights. Faster R. Interactive C++ w/ Jupyter. Voice recognition w/ data.
Finding fakes w/ NLP. Dimensionality reduction techniques. Regex for data science. Sports prediction platform. Structured deep learning.
Diary of a data scientist. Evaluating data quality. Learning Pandas. Who owns your online identity? Essence of linear algebra.
3D plots for Jupyter. 🕶️ Awesome Python. CSV to REST API. Causal inference. Software 2.0. Kaggle fundamentals.
SQLite fundamentals. How to win w/ deep learning. On being a data scientist. Earth on AWS. Algorithmic tessellation.
Unit tests for machine learning. Mistakes startups make w/ data. 2017 State of Data Science & ML. A/B testing. Hierarchical modeling.
Agile for data science. Streaming dataframes. Career critical paths. Linked data. Justices on math: "gobbledygook." Learning from scratch.
How music recommendations work. Data science best practices. China’s AI Awakening. How neural networks learn. Ditch PowerPoint.
Data tampering. Growth of R. Data liquidity. Jupyter Notebook suggestions. Health vs AI. What *is* a Neural Network? Python graph gallery - with code.