Materias:

“…You'll explore key concepts such as modeling versus predicting, and learn essential data transformation techniques including power, log, and Box-Cox transformations. These fundamentals set the stage for more advanced topics. …”

Tabla de Contenidos: “…Notes on Pulsed Igniter -- Chapter 17: HHO Bomb -- Assembly -- Filling and Detonating -- Legal Notes -- Chapter 18: Hydrogen Pistol -- Assembly -- Chapter 19: Hydrogen Howitzer -- Theory of Operation -- Assembly -- Chapter 20: Faraday Cage -- Assembly -- Chapter 21: Test Supply -- Test Supply Operating Instructions -- Ballast Box (Fig. 21-2) -- Ballast Box Assembly -- Ballast Box Operating Instructions -- Index…”

Tabla de Contenidos: “…Skolnick Architecture + Design Partnership (p. 150) ; Lorenc + Yoo Design (p. 156) ; Mauk Design (p. 162) ; Pentagram (p. 168) ; Box & Cox (p. 176) ; Casson Mann (p. 182) ; Ralph Appelbaum Associates (p. 188) ; Reich + Petch (p. 196) ; C&G Parnters (p. 204) ; emerystudio (p. 212) ; atelierbrückner (p. 218) ; GL Associates (p. 224) ; Hewitt Pender Associates (p. 230) ; nendo (p. 236) ; Staples & Charles (p. 244) -- Etcetera…”

Tabla de Contenidos: “…Blaser and Stanley Falkow""; ""A3 Pathways in microbe-induced obesity--Laura M. Cox and Martin J. Blaser""…”

Tabla de Contenidos: “…Windows VistaTM Step by Step; Joyce Cox; The Team; Online Training Solutions, Inc. (OTSI); Introducing Windows Vista; Windows Vista Home Premium; Windows Vista Ultimate; Windows Vista Business; Windows Vista Enterprise; Let's Get Started!…”

Tabla de Contenidos: “…Cover; Copyright Page; Contents; About the Authors; Joan Preppernau; Joyce Cox; The Team; Online Training Solutions, Inc. ( OTSI); Introducing Outlook 2007; What's New in Outlook 2007; If You Are Upgrading from Outlook 2003; If You Are Upgrading from Outlook 2002; Let's Get Started!…”

Tabla de Contenidos: “…Installing the Practice FilesUsing the Practice Files; Removing and Uninstalling the Practice Files; Features and Conventions of This Book; About the Authors; Joyce Cox; Curtis Frye; Steve Lambert; M. Dow Lambert III; Katherine Murray; Joan Lambert Preppernau; Online Training Solutions, Inc. …”

Tabla de Contenidos: “…Análisis de la Homocestacidad; 5.4. Transformaciones Box-Cox; 5.5. Contraste de hipótesis relativas a la diferencia de medias (...); 5.6. …”

Tabla de Contenidos: “…4.1 Necessity of Data Preparation4.2 From Small and Long to Short and Wide; 4.3 Transformation of Variables; 4.4 Missing Data and Imputation Strategies; 4.5 Outliers; 4.6 Dealing with the Vagaries of Data; 4.6.1 Distributions; 4.6.2 Tests for Normality; 4.6.3 Data with Totally Different Scales; 4.7 Adjusting the Data Distributions; 4.7.1 Standardisation and Normalisation; 4.7.2 Ranking; 4.7.3 Box-Cox Transformation; 4.8 Binning; 4.8.1 Bucket Method; 4.8.2 Analytical Binning for Nominal Variables; 4.8.3 Quantiles; 4.8.4 Binning in Practice; 4.9 Timing Considerations; 4.10 Operational Issues…”

Tabla de Contenidos: “…. -- How it works... -- Performing Box-Cox transformation -- How to do it... -- How it works... -- There's more... -- Performing Yeo-Johnson transformation -- How to do it... -- How it works... -- There's more... -- Chapter 4: Performing Variable Discretization -- Technical requirements -- Performing equal-width discretization -- How to do it... -- How it works... -- See also -- Implementing equal-frequency discretization -- How to do it... -- How it works... -- Discretizing the variable into arbitrary intervals -- How to do it... -- How it works... -- Performing discretization with k-means clustering -- How to do it... -- How it works... -- See also -- Implementing feature binarization -- Getting ready -- How to do it... -- How it works... -- Using decision trees for discretization -- How to do it... -- How it works... -- There's more... -- Chapter 5: Working with Outliers -- Technical requirements -- Visualizing outliers with boxplots -- How to do it... -- How it works... -- Finding outliers using the mean and standard deviation -- How to do it... -- How it works... -- Finding outliers with the interquartile range proximity rule -- How to do it... -- How it works... -- Removing outliers -- How to do it... -- How it works... -- Capping or censoring outliers -- How to do it... -- How it works... -- There's more... -- Capping outliers using quantiles -- How to do it... -- How it works... -- Chapter 6: Extracting Features from Date and Time Variables -- Technical requirements -- Extracting features from dates with pandas -- Getting ready -- How to do it... -- How it works…”

Tabla de Contenidos: “…Evaluating relations between variables with ANOVA -- Chapter 4: Dealing with Data and Numerical Issues -- Introduction -- Clipping and filtering outliers -- Winsorizing data -- Measuring central tendency of noisy data -- Normalizing with the Box-Cox transformation -- Transforming data with the power ladder -- Transforming data with logarithms -- Rebinning data -- Applying logit() to transform proportions -- Fitting a robust linear model -- Taking variance into account with weighted least squares -- Using arbitrary precision for optimization -- Using arbitrary precision for linear algebra -- Chapter 5: Web Mining, Databases, and Big Data -- Introduction -- Simulating web browsing -- Scraping the Web -- Dealing with non-ASCII text and HTML entities -- Implementing association tables -- Setting up database migration scripts -- Adding a table column to an existing table -- Adding indices after table creation -- Setting up a test web server -- Implementing a star schema with fact and dimension tables -- Using HDFS -- Setting up Spark -- Clustering data with Spark -- Chapter 6: Signal Processing and Timeseries -- Introduction -- Spectral analysis with periodograms -- Estimating power spectral density with the Welch method -- Analyzing peaks -- Measuring phase synchronization -- Exponential smoothing -- Evaluating smoothing -- Using the Lomb-Scargle periodogram -- Analyzing the frequency spectrum of audio -- Analyzing signals with the discrete cosine transform -- Block bootstrapping time series data -- Moving block bootstrapping time series data -- Applying the discrete wavelet transform -- Chapter 7: Selecting Stocks with Financial Data Analysis -- Introduction -- Computing simple and log returns -- Ranking stocks with the Sharpe ratio and liquidity -- Ranking stocks with the Calmar and Sortino ratios -- Analyzing returns statistics…”