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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