Publications by Bonnie Cooper
Build Wireframes & Lo-fi Prototypes
Storyboarding & Wireframes Build Wireframes and Low-Fidelity Prototypes Create Low-Fidelity Prototypes on Paper Build Wireframes and Low-fidelity Prototypes Google User Experience (UX) Design notes along my way - Bonnie Cooper 2021-04-23 Storyboarding & Wireframes Continue to Ideate and explore solutions in a low effort, low cost way. Come ...
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Retinal Ganglion Cell classes
Distinguishing Retinal Ganglion Cell Classes with Linear Regression in R Bonnie Cooper, PhD cross section of the retina illumunated by AAV-Brainbow labeling - Williams Lab “To suppose that the eye with all its inimitable contrivances (…) could have been formed by natural selection, seems, I confess, absurd to the highest degree (…) The d...
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Orientation tuning in V1 Neurons
Orientation Tuning in V1 Neurons a Loess Smoothing Application Bonnie Cooper mapping of orientation tuning across the surface of V1 - Bosking et al 1997 The visual system is organized into a hierarchy of different interconnected areas of the brain. As signals propagate across the hierarchy of the visual system, the information represent...
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Data622 Final Report Summary Presentation
Machine Learning Methods for Modeling and Classification of Fashion-MNISTDavid Blumenstiel, Bonnie Cooper, Robert Welk, Leo Yi"2021-12-10" Project Goal: apply dimensionality reduction techniques to the Fashion MNIST dataset and evaluate the effectiveness of the results for classification using a variety of machine learning algorithms Fashion MN...
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Fashion MNIST PCA
Intro PCA on fashion MNIST for dimensionality reduction SVM or something with Trees Classification before/after PCA About Fashion MNIST: * 70,000 grayscale images * 10 distinct image categories * each image is 28x28 pixels (785 features) Importing the Data libraries used: library(caret) library(tidyr) library(dplyr) library(ggplot2) library(gr...
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DATA622 hw4
Introduction We’ll be working with a mental health dataset and will be conducting exploratory data analysis, unsupervised clustering, principal component analysis, gradient boosting, and support vector machines. Import Data To begin, the following code will import the data and load the libraries: library(stringr) library(tidyr) library(dplyr) ...
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Data 622 hw3
Introduction We will be working with a dataset of loan approval status information. The task is to develop models to predict loan approval status with the given feature variables. After a preliminary exploratory data analysis, we will fit Linear Discriminant, K-Nearest Neighbors, Decision Trees and Random Forest models to a subset of the data and...
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Data608 HW1
Principles of Data Visualization and Introduction to ggplot2 I have provided you with data about the 5,000 fastest growing companies in the US, as compiled by Inc. magazine. lets read this in: inc <- read.csv("https://raw.githubusercontent.com/charleyferrari/CUNY_DATA_608/master/module1/Data/inc5000_data.csv", header= TRUE) And lets preview this...
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