numbers represe...TABLE 11.2 Extending the Bag-of-Words Table with Bigrams. The resulting docum...TABLE 11.3 Representing Words as Vectors with Word EmbeddingsTABLE 11.4 A Basic Spam Classifier Example
9 Chapter 13TABLE 13.1 Success Rates of Surgical Techniques to Remove Kidney StonesTABLE 13.2 Simpson's Paradox Lurking in the Success Rates of Surgical Techniq...
10 Chapter 14TABLE 14.1 Seven Scenes of Communication Breakdown
List of Illustrations
1 Chapter 1FIGURE 1.1 Sentiment analysis trends
2 Chapter 3FIGURE 3.1 Weekly Customer Survey Results: Percent of Positive Reviews. The ...FIGURE 3.2 Reprint of American Scientist figure
3 Chapter 4FIGURE 4.1 Plot of test drives with critical component failures as a functio...FIGURE 4.2 Plots of flights with incidents of O-ring thermal distress as a f...FIGURE 4.3 Plots of flights with incidents of O-ring thermal distress as a f...FIGURE 4.4 Plot of test drives with and without critical component failures ...
4 Chapter 5FIGURE 5.1 A histogram showing the shape of sales priceFIGURE 5.2 Using box plots to compare sales prices at different quality rank...FIGURE 5.3 A bar chart showing the counts by types of electrical installatio...FIGURE 5.4 A line chart showing the number of houses sold in different month...FIGURE 5.5 A scatter plot showing square footage and sales priceFIGURE 5.6 Square footage and sales price have a correlation of 0.62, which ...FIGURE 5.7 Two datasets with a correlation of 0.8FIGURE 5.8 Datasaurus: Data is free to download and explore.9 Like Anscombe’...
5 Chapter 6FIGURE 6.1 Venn diagram showing the probability of two events happening toge...FIGURE 6.2 Tree diagram for scanning computers for a virus at a large compan...
6 Chapter 8FIGURE 8.1 Sorting cars based on different composite features. Notice how th...FIGURE 8.2 Principal component analysis groups and condenses the columns of ...FIGURE 8.3 PCA finds optimal weights that are used to create composite featu...FIGURE 8.4 The PCA algorithm creates a new dataset, the same size as the ori...FIGURE 8.5 Clustering is a technique that groups rows of a dataset together....FIGURE 8.6 The company's 200 locations, before clusteringFIGURE 8.7 k-means in action on retail locations
7 Chapter 9FIGURE 9.1 Basic paradigm of supervised learning: mapping inputs to outputs...FIGURE 9.2 Many lines would fit this data reasonably well, but which line is...FIGURE 9.3 Least squares regression is finding the line through the data tha...FIGURE 9.4 Two competing models. The model on the left generalizes well, whi...FIGURE 9.5 In this plot, you can see how the model does not do well predicti...
8 Chapter 10FIGURE 10.1 Fitting different logistic regression models to the data. The mo...FIGURE 10.2 Applying the logistic regression model to make predictions at GP...FIGURE 10.3 Simple decision tree applied to the HR intern datasetFIGURE 10.4 A random forest is a “forest” of several decision trees, usually...
9 Chapter 11FIGURE 11.1 A word cloud for the text in this chapterFIGURE 11.2 Processing text down to a bag of wordsFIGURE 11.3 Clustering documents and terms together with topic modeling. Can...
10 Chapter 12FIGURE 12.1 The simplest neural network possible. The four inputs are proces...FIGURE 12.2 A neural network with a hidden layer. The middle layer is “hidde...FIGURE 12.3 A deep neural network with two hidden layersFIGURE 12.4 Theoretical performance curves of traditional regression and cla...FIGURE 12.5 How a grayscale image “looks” to a computer, and how that data w...FIGURE 12.6 Color images are represented as 3D matrices for the pixel values...FIGURE 12.7 Convolution is like a series of magnifying glasses, detecting di...FIGURE 12.8 A simple representation of a recurrent neural networkFIGURE 12.9 Deep learning is a subfield of machine learning, which is a subf...
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