framework
11.3. Grouping similar objects using k-means
11.4. Hierarchical classification
11.5. Discovering hidden structures with clustering algorithms
11.6. Conclusion
9 Index
List of Tables
1 Chapter 2Table 2.1. Configuration of new trade methods (Ertz 2017)
2 Chapter 5Table 5.1. What happens on the Internet in one minute (2018)Table 5.2. The growth of storage capacity
3 Chapter 7Table 7.1. Various Big Data applications at NetflixTable 7.2. The different types of dataTable 7.3. Challenges associated with Big Data
4 Chapter 8Table 8.1. The various applications of Machine Learning algorithmsTable 8.2. Big Data technologies by fieldTable 8.3. The evolution of Lyft’s data analysis pipeline
5 Chapter 9Table 9.1. Descriptive statisticsTable 9.2. List of explanatory variablesTable 9.3. RMSE for different regression models
6 Chapter 10Table 10.1. How do we choose the classification algorithm?Table 10.2. MSE and RMSE for each modelTable 10.3. Number of observations by distanceTable 10.4. The price of the first five randomized observationsTable 10.5. Comparison of RMSE values for different predictors
7 Chapter 11Table 11.1. Comparison of different criteria
List of Illustrations
1 Chapter 1Figure 1.1. P2P diagram (Evroux et al. 2014). For a color version of this figure...
2 Chapter 2Figure 2.1. Prosumer2. For a color version of this figure, see www.iste.co.uk/se...Figure 2.2. Honeycomb representation of the collaborative economy (Owyang 2016)....
3 Chapter 3Figure 3.1. Uber’s business model (Diridollou et al. 2016). For a color version ...
4 Chapter 4Figure 4.1. Examples of digital platforms for entertainment and communication se...
5 Chapter 5Figure 5.1. Nature and types of data. For a color version of this figure, see ww...
6 Chapter 9Figure 9.1. Difference between model and reality. For a color version of this fi...Figure 9.2. The logistics functionFigure 9.3. Overview of the data-setFigure 9.4. Variables with missing valuesFigure 9.5. The emptiness of the function for all variables. For a color version...Figure 9.6. Apartment prices in descending order. For a color version of this fi...Figure 9.7. Correlation matrix. For a color version of this figure, see www.iste...Figure 9.8. Price distribution. For a color version of this figure, see www.iste...Figure 9.9. Apartment prices as a function of certain characteristics. For a col...Figure 9.10. Price per number of bedrooms/bathrooms. For a color version of this...Figure 9.11. Distribution of prices as a function of amenities. For a color vers...Figure 9.12. The price/neighborhood relationship. For a color version of this fi...
7 Chapter 10Figure 10.1. Example of a decision treeFigure 10.2. Coordinates of entities divided into two classes. For a color versi...Figure 10.3. How SVM works. For a color version of this figure, see www.iste.co....Figure 10.4. How does kNN work?. For a color version of this figure, see www.ist...Figure 10.5. Example neural networkFigure 10.6. The 10 most important features (decision tree). For a color version...Figure 10.7. The 10 most important features (Random Forest). For a color version...Figure 10.8. RMSE: score for the different models. For a color version of this f...
8 Chapter 11Figure 11.1. Distance calculationFigure 11.2. The principle of clustering. For a color version of this figure, se...Figure 11.3. Step 1: define the initial points for the centroids. For a color ve...Figure 11.4. Step 2: assign each point to the nearest centroid. For a color vers...Figure 11.5. K-means versus hierarchical classification. For a color version of ...Figure 11.6. Distribution of observationsFigure 11.7. Determination of the number of clusters using the elbow method. For...Figure 11.8. The three clusters. For a color version of this figure, see www.ist...
Guide
1 Cover
Pages
1 v
2 iii
3 iv
4 xi
5 xii
6 xiii
7 xiv
8 xv
9 xvi
10 xvii
11 xviii
12 xix
13 xx
14 1
15 3
16
