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Data Science Reference Library
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Recent Issues:
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Issue 366
Big data paradox. Data 'scientists'...? ML playgrounds. Data serialisation in R. Building models like open-source software.
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Issue 365
Tidy/Pandas visual tutors. State of Open Data. Unit testing in R. Mining the Pandora Papers.
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Issue 364
Shuffling the cloud. Data for good, responsibly. Decision tree viz. Longform NLP pipelines. Controlling the job hunt.
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Issue 363
Transformers from scratch. Open-source experiment tracker. Parameter exploration w/ Bayesian Optimization. Confidential computing.
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Issue 362
Holistic decision-making. ROI of data work. The Data Librarian. Automated root cause analysis. Scientific visualization. When machine learning hates veggies.
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Issue 361
Non-tech guide to interpretable ML. Avoiding data disasters. Beta regression. Measuring success. Better than box plots.
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Issue 360
Data stack enigmas. Survival analysis. Time series regression w/ PyTorch. Survival analysis. Data visualization analysis and design.
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Issue 359
Future of operational analytics. Interpreting A/B tests. Gradient boosted trees for spatial data. Data Viz superpowers. Intro to probability for data science.
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Issue 358
Intro to wavelets. Breathing K-Means. Neural nets from scratch. What to learn. Generative art w/ R.
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Issue 357
State of AI 2021. False positives. Bayesian optimization. Covid data glitches. Kernel algorithms. KPIs for machine learning classifiers.
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