Notes for Laura Klein's book on UX: UX for Lean Startups
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Updated
Apr 6, 2018
Notes for Laura Klein's book on UX: UX for Lean Startups
New shape for my old GOD_AND_ADAM system
Documentation related to building an open, zoomable atlas for invasion science and beyond
A Bayesian Framework for Explaining Network Formation (beta)
Barb and Gabby have worked together in order to find the drivers of log error in Zillow Zestimates for single-unit properties with the last transaction date in 2017.
Exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task.
I have prepared a Attention Model for Natural Language Inference.
Controlled recall for pi: a research-memory extension with layered experiment tracking (runs/contrasts/hypotheses ledgers), tracker scaffolding, validation, and an on-demand methodology guide.
Statistically studying and analyzing data set in R programming language
Hypotheses for agent-driven PennyLane experiments
True Religion Mission Research Hub
Basic Hypothesis testing---Udacity Project
Test your hypotheses with SMS
These are projects I've done on R and Excel for my university statistics course. I checked hypotheses about distribution laws, parameters evaluation.
A repository on running an A/B test to identify the impact on brand awareness created by running a personalized advertisement by SmartAd as opposed to a generic advertisement
To associate your repository with the hypotheses topic, visit your repo's landing page and select "manage topics."