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Gangsta., Vol. 7
Prompted by a gruesome message, Marco heads out to rescue the kidnapped Constance. Drawn to a place he’d consigned to a dead past, he’s plunged into a desperate fight against an enemy he once thought of as a brother. It’s a time of betrayals and reversals, separations and farewells, as chaos threatens to tear the city of Ergastulum apart. -- VIZ Media
Gangsta: Cursed., Vol. 1
Killing is all Spas has ever known, and he does it without doubt or remorse. Taught to believe he’s ridding the world of monsters, he sees the extermination of the Twilights as a necessary step toward making Ergastulum a safer place. Until the day when he’s forced to confront the horrifying truth that the real monster might be...him. -- VIZ Media
Gangsta., Vol. 3
Ergastulum is a tough town, a place where the rule of law takes a backseat to the law of violence, where Handymen like Nic and Worick make a living doing odd jobs from routine deliveries to extrajudicial killings. Discreet, ruthless, and efficient, the men are respected by both the police brass and the Mafia dons, but it took many long, hard years for them to make their names. Behind those years is the hidden history of how the scion of an elite family and a boy soldier of the Twilights ranks formed an improbable, unbreakable bond. -- VIZ Media
Gangsta: Cursed., Vol. 2
A spin-off series from the hit manga Gangsta that tells the backstory of Marco Adriano. The man named Marco Adriano is a loyal and beloved member of the Cristiano Family, helping them protect the persecuted Twilight population in the city of Ergastulum. But he was once a boy code-named “Spas,” raised as a Hunter and assigned to the Destroyers Second Group for a single purpose: to track down and kill Twilights. Ever since he was a young child, Spas has been indoctrinated to believe that eliminating all Twilights is the only way to guarantee the safety of the Normal population. But as he and the rest of the Hunters carry out their gruesome duty, the foundations of that belief begin to erode. Unable to reconcile the high-minded teachings of his past with the brutal realities of his present, Spas stands on the brink of a decision that will change his life—and the lives of those he loves—forever.
Gangsta: Cursed., Vol. 3
After making the fateful decision to defy his fellow Hunters and save a young girl’s life, Spas finds himself caught between the worlds of the Normals and the Twilights. Branded a traitor by the Hunters, yet still considered an enemy by all the other factions, he’s on the run and desperately trying to find his way through the carnage and chaos that surround him. -- VIZ Media
Interpretable Machine Learning
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.
R For Dummies
Master the programming language of choice among statisticians and data analysts worldwide Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate-level programmers will find extremely useful. Master your R ABCs ? get up to speed in no time with the basics, from installing and configuring R to writing simple scripts and performin...
Data Science
Data Science: A First Introduction focuses on using the R programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. The text emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. All source code is available online, demonstrating the use of good reproducible project workflows. Based on educational research and active learning principles, the book uses a modern approach to R and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The book will leave readers well-prepared for data science projects. The book is designed for learners from all disciplines with minimal prior knowledge of mathematics and programming. The authors have honed the material through years of experience teaching thousands of undergraduates in the University of British Columbia’s DSCI100: Introduction to Data Science course.
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout. Features: ● Assumes minimal prerequisi...
Gangsta Twist 2
The Network and its affiliates used to be one of Oklahoma City's most organized crews. No one knew exactly where they got the money to buy up businesses and real estate, but everyone on the streets respected them. Their criminal enterprise is unraveling quickly, though, as member loyalty is challenged and betrayal becomes the name of the game. Taz is dealing with almost more than he can handle now that his crew is falling apart. Cliff is still consumed by a desire for revenge against Taz, and the two of them are locked in an epic battle for Tazneema's heart. Meanwhile, a vital member of Taz's team ends up dead. This calls for a gruesome retaliation, but when Taz discovers the killer's identity, he'll have some serious choices to make. Now Taz's leadership is being questioned by his once loyal crew. Does he have what it takes to stay on top, or is all this heat enough to make him want to leave the streets alone? Clifford "Spud" Johnson delivers an action-packed tale of betrayal, murder, and revenge that will keep readers on the edge of their seats.
