Crios is a not-so-ordinary employee in his uncle's ordinary repair shop. When one day a couple of guild members show up, word gets out about his amazing skills. In no time the shut in Crios makes friends and heads out into the world, trying to prove how extraordinary he really is. Although soon he finds out that he is who he is for a reason, and he's part of a much greater plot all revolving around him and his guild, Dragon's Den.

The people of Diablo Keep prepare for a visit from the Governor of New California and Rich Ransdell.

As the fires of civil war are extinguished, the Guilds of Carcanas are left to question who was pulling the strings, and who among them had been feeding information to Celestial Rim. Zed Fifer has some answers, but they force Crios to question everything he knew about his past. With these deeper secrets of his father's work looming over him, the time has come for Crios to confront Axis. But in order to do so, he's going to need help from his friends in Dragon's Den and beyond. Time waits for no one, and by the end of it, Crios will come to understand what is at stake runs deeper than just Carcanas' independence from Axis' rule.

After a nuclear disaster, the people of Diablo Keep, located in California's San Gabriel Mountains, work to survive long enough to eventually build a bridge to the stars and escape a dying Earth.

With the first online discussions of SPACE 1999 starting in January 1993, this book celebrates the 25th anniversary of Online Alpha. It is edited and told from the perspective of trying to present different types of discussions over the years by focusing on humour, insight, surprise and shared community. There is also a focus on how the discussions have changed and how they continue to change. The book is written on an idealistic basis. It is sold at the lowest price the publisher was willing to accept. A free e-book version can be downloaded at www.lulu.com.

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning. You’ll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you’ll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity