Download Free The Fall Of Io Book in PDF and EPUB Free Download. You can read online The Fall Of Io and write the review.

The fate of India lies in the hands of a young street urchin and the alien living inside her head in this rollicking sci-fi adventure from the author The Lives of Tao Ella Patel—thief, con-artist and smuggler—is in the wrong place at the wrong time. One night, on the border of a demilitarized zone run by the body-swapping alien invaders, she happens upon a man and woman being chased by a group of assailants. The man freezes, leaving the woman to fight off five attackers at once, before succumbing. As she dies, the sparkling light that rises from the woman enters Ella, instead of the man. She soon realizes she’s been inhabited by Io, a low-ranking Quasing who was involved in some of the worst decisions in history. Now, Ella must now help the alien presence to complete her mission and investigate a rash of murders in the border states that maintain the frail peace. With the Prophus assigned to help her seemingly wanting to stab her in the back, and the enemy Genjix hunting her, Ella must also deal with Io’s annoying inferiority complex. To top it all off, Ella thinks the damn alien voice in her head is trying to get her killed. And if you can’t trust the voices in your head, who can you trust?
Born into the beautiful bedlam of downtown New York in the eighties, iO Tillett Wright came of age at the intersection of punk, poverty, heroin, and art. This was a world of self-invented characters, glamorous superstars, and strung-out sufferers, ground zero of drag and performance art. Still, no personality was more vibrant and formidable than iO’s mother’s. Rhonna, a showgirl and young widow, was a mercurial, erratic glamazon. She was iO’s fiercest defender and only authority in a world with few boundaries and even fewer indicators of normal life. At the center of Darling Days is the remarkable relationship between a fiery kid and a domineering ma—a bond defined by freedom and control, excess and sacrifice; by heartbreaking deprivation, agonizing rupture, and, ultimately, forgiveness. Darling Days is also a provocative examination of culture and identity, of the instincts that shape us and the norms that deform us, and of the courage and resilience it takes to listen closely to your deepest self. When a group of boys refuse to let six-year-old, female-born iO play ball, iO instantly adopts a new persona, becoming a boy named Ricky—a choice iO’s parents support and celebrate. It is the start of a profound exploration of gender and identity through the tenderest years, and the beginning of a life invented and reinvented at every step. Alternating between the harrowing and the hilarious, Darling Days is the candid, tough, and stirring memoir of a young person in search of an authentic self as family and home life devolve into chaos.
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.
The superb aliens-in-your-head SF sequel to the wildly popular The Rise of Io, by the author of The Lives of Tao series When Ella Patel's mind was invaded by the Quasing alien, Io, she was dragged into the raging Prophus versus Genjix war. Despite her reservations, and Io's incompetence, the Prophus were determined to train her as an agent. It didn't go well. Expelled after just two years, Ella happily returned to con artistry, and bank robberies. But the Quasing war isn't done with them yet. The Genjix's plan to contact their homeworld has reached a critical stage, threatening all life on Earth. To complete the project they need Io's knowledge - and he's in Ella's head - so now they're both being hunted, again. File Under: Science Fiction [ Brain Slug | Hidden Threats | Aliens vs Aliens | Wrong Place, Right Time ]
Hachiman Hikigaya may be in a club with two hot girls, but this isn't going to turn into a rom-com. He may have given out his number, but his phone will remain untexted. Besides, the only true cutie around here? Yeah, it's a guy. Hachiman the loser, Yukino the ice queen, and Yui the bimbo have to find some way to put the "service" back in "Service Club"--but so far they've scored zero points in the game of high school life.
In a future when Earth is a toxic, abandoned world and humanity has spread into the outer solar system to survive, the tightly controlled use of time travel holds the key to maintaining a fragile existence among the other planets and their moons. James Griffin-Mars is a chronman – a convicted criminal recruited for his unique psychological makeup to undertake the most dangerous job there is: missions into Earth’s past to recover resources and treasure without altering the timeline. Most chronmen never reach old age, and James is reaching his breaking point. On his final mission, James meets scientist Elise Kim, who is fated to die during the destruction of an oceanic rig. Against his training and common sense, James brings her back to the future with him, saving her life, but turning them both into fugitives. Remaining free means losing themselves in the wild and poisonous wastes of Earth, and discovering what hope may yet remain for humanity’s home world. File Under: Science Fiction
Hachiman Hikigaya's travails in the Service Club continue! When his younger sister Komachi comes to the Service Club with a problem involving Hachiman's stoic, intimidating classmate Saki, he's faced with a challenge. How's he supposed to break through Saki's unflappable and frankly frightening demeanor? Is it possible that Hachiman's notorious cynicism is actually going to be good for something, for once?
An immersive, gripping account of the rise and fall of Iran's glamorous Pahlavi dynasty, written with the cooperation of the late Shah's widow, Empress Farah, Iranian revolutionaries and US officials from the Carter administration In this remarkably human portrait of one of the twentieth century's most complicated personalities, Mohammad Reza Pahlavi, Andrew Scott Cooper traces the Shah's life from childhood through his ascension to the throne in 1941. He draws the turbulence of the post-war era during which the Shah survived assassination attempts and coup plots to build a modern, pro-Western state and launch Iran onto the world stage as one of the world's top five powers. Readers get the story of the Shah's political career alongside the story of his courtship and marriage to Farah Diba, who became a power in her own right, the beloved family they created, and an exclusive look at life inside the palace during the Iranian Revolution. Cooper's investigative account ultimately delivers the fall of the Pahlavi dynasty through the eyes of those who were there: leading Iranian revolutionaries; President Jimmy Carter and White House officials; US Ambassador William Sullivan and his staff in the American embassy in Tehran; American families caught up in the drama; even Empress Farah herself, and the rest of the Iranian Imperial family. Intimate and sweeping at once, The Fall of Heaven recreates in stunning detail the dramatic and final days of one of the world's most legendary ruling families, the unseating of which helped set the stage for the current state of the Middle East.
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.