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Francisco Herrera's the Magic Box
Take a glimpse on how Francisco Herrera, renowned comic book (Marvel, Soleil, Aspen), movie concept (DreamWorks) and brand (Warner, Disney) artist, takes you through his process in creating interesting and peculiar characters. Including basic tips for character design and a sketchbook showing his cartoon love.
Francisco Herrera's the Magic Box B
The second installment of Francisco Herrera's Magic Box - renowned comic book (Marvel, Soleil, Aspen), movie concept (DreamWorks) and brand (Warner, Disney) artist, - takes you for a ride for more tips about creating characters. Also included a Sketchbook showing exclusive art for this edition.
Big Data Preprocessing
This book offers a comprehensible overview of Big Data Preprocessing, which includes a formal description of each problem. It also focuses on the most relevant proposed solutions. This book illustrates actual implementations of algorithms that helps the reader deal with these problems. This book stresses the gap that exists between big, raw data and the requirements of quality data that businesses are demanding. This is called Smart Data, and to achieve Smart Data the preprocessing is a key step, where the imperfections, integration tasks and other processes are carried out to eliminate superfluous information. The authors present the concept of Smart Data through data preprocessing in Big D...
Multilabel Classification
This book offers a comprehensive review of multilabel techniques widely used to classify and label texts, pictures, videos and music in the Internet. A deep review of the specialized literature on the field includes the available software needed to work with this kind of data. It provides the user with the software tools needed to deal with multilabel data, as well as step by step instruction on how to use them. The main topics covered are: • The special characteristics of multi-labeled data and the metrics available to measure them.• The importance of taking advantage of label correlations to improve the results.• The different approaches followed to face multi-label classification.â€...
Francisco Herrera Sketchbox
Le dernier volume de l'univers de Franciso Herrera, réinterprétant les personnages de Disney, Warner, etc.
Data Preprocessing in Data Mining
Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Furthermore, the increasing amount of data in recent science, industry and business applications, calls to the requirement of more complex tools to analyze it. Thanks to data preprocessing, it is possible to convert the impossible into possible, adapting the data to fulfill the input demands of each data mining algorithm. Data preprocessing includes the data reduction techniques, which aim at reducin...
Francisco Herrera Sketchbox
Le deuxième volume de l'univers de Franciso Herrera, réinterprétant les personnages de Disney, Warner, etc.
Marvel's Voices
Collects Marvel's Voices: Legacy (2021) #1, Black Panther (2016) #1, Moon Girl and Devil Dinosaur (2015) #1, Black History Month variants; material from Marvel's Voices (2020) #1, Marvel's Voices (2020) #1 [New Printing], Black Panther (2018) #23-25. Stories from the world outside your window, by diverse creators who are making theirs Marvel - and making their voices heard! Inspired by Marvel's acclaimed podcast series MARVEL'S VOICES, new and established writers and artists share their unique perspectives on legendary characters - including Black Panther, Storm, Blade, Ironheart, Luke Cage, Spectrum, Shuri, Doctor Voodoo, Nick Fury and the Blue Marvel. It's a dizzying array of adventures that will inspire and uplift! Plus: The opening chapter of Ta-Nehisi Coates' revolutionary BLACK PANTHER epic, the sensational first meeting of Moon Girl and Devil Dinosaur, and a stunning gallery of Ernanda Souza's Black History Month variant covers!
Francisco Herrera Sketchbox
First edition, July 2007.
Learning from Imbalanced Data Sets
This book provides a general and comprehensible overview of imbalanced learning. It contains a formal description of a problem, and focuses on its main features, and the most relevant proposed solutions. Additionally, it considers the different scenarios in Data Science for which the imbalanced classification can create a real challenge. This book stresses the gap with standard classification tasks by reviewing the case studies and ad-hoc performance metrics that are applied in this area. It also covers the different approaches that have been traditionally applied to address the binary skewed class distribution. Specifically, it reviews cost-sensitive learning, data-level preprocessing metho...
