Data Elixir Archives
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Issue 156
SQLite fundamentals. How to win w/ deep learning. On being a data scientist. Earth on AWS. Algorithmic tessellation.
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Issue 155
Unit tests for machine learning. Mistakes startups make w/ data. 2017 State of Data Science & ML. A/B testing. Hierarchical modeling.
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Issue 154
Agile for data science. Streaming dataframes. Career critical paths. Linked data. Justices on math: "gobbledygook." Learning from scratch.
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Issue 153
How music recommendations work. Data science best practices. China’s AI Awakening. How neural networks learn. Ditch PowerPoint.
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Issue 152
Data tampering. Growth of R. Data liquidity. Jupyter Notebook suggestions. Health vs AI. What *is* a Neural Network? Python graph gallery - with code.
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Issue 151
Practical R for organizations. Peak AI? Stats vs The Media. Transparent XGBoost. K-Means from scratch. Thinking w/ data. Production ML.
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Issue 150
Fallacies of data science. SQL vs NoSQL. The information bottleneck. Time maps. Scalable ML. NLP w/ LEGO.
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Issue 149
Security guide for data scientists. Search engineering. How to be a *real* data scientist. Business location optimization. Sparkline font.
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Issue 148
Data science tips/tricks from devs. Scalable machine learning. Data innovation in healthcare. Interviewing for DS. Easy VMs for AWS. How to graph like
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Issue 147
ML for fantasy football. Time series analytics. Keylogging with ML. Messy data. 3 laws of AI. Object detection. Moving to industry.
Archives
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Issue 156
SQLite fundamentals. How to win w/ deep learning. On being a data scientist. Earth on AWS. Algorithmic tessellation.
-
Issue 155
Unit tests for machine learning. Mistakes startups make w/ data. 2017 State of Data Science & ML. A/B testing. Hierarchical modeling.
-
Issue 154
Agile for data science. Streaming dataframes. Career critical paths. Linked data. Justices on math: "gobbledygook." Learning from scratch.
-
Issue 153
How music recommendations work. Data science best practices. China’s AI Awakening. How neural networks learn. Ditch PowerPoint.
-
Issue 152
Data tampering. Growth of R. Data liquidity. Jupyter Notebook suggestions. Health vs AI. What *is* a Neural Network? Python graph gallery - with code.
-
Issue 151
Practical R for organizations. Peak AI? Stats vs The Media. Transparent XGBoost. K-Means from scratch. Thinking w/ data. Production ML.
-
Issue 150
Fallacies of data science. SQL vs NoSQL. The information bottleneck. Time maps. Scalable ML. NLP w/ LEGO.
-
Issue 149
Security guide for data scientists. Search engineering. How to be a *real* data scientist. Business location optimization. Sparkline font.
-
Issue 148
Data science tips/tricks from devs. Scalable machine learning. Data innovation in healthcare. Interviewing for DS. Easy VMs for AWS. How to graph like
-
Issue 147
ML for fantasy football. Time series analytics. Keylogging with ML. Messy data. 3 laws of AI. Object detection. Moving to industry.
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