This collection of essays asks contributors to take the capaciousness of the word "queer" to heart in order to think about what medieval queers would have looked like and how they may have existed on the margins and borders of dominant, normative sexuality and desire. The contributors work with recent trends in queer medieval studies, blending together modern concepts of sexuality and desire with the queer configurations of eroticism, desire, and materiality as they might have existed for medieval audiences.

Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and Keras Key Features Get to grips with Python's machine learning libraries including scikit-learn, TensorFlow, and Keras Implement advanced concepts and popular machine learning algorithms in real-world projects Build analytics, computer vision, and neural network projects Book DescriptionMachine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects. The book begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you'll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you'll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you'll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you'll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks. By the end of this book, you'll be able to analyze data seamlessly and make a powerful impact through your projects. What you will learn Understand the Python data science stack and commonly used algorithms Build a model to forecast the performance of an Initial Public Offering (IPO) over an initial discrete trading window Understand NLP concepts by creating a custom news feed Create applications that will recommend GitHub repositories based on ones you've starred, watched, or forked Gain the skills to build a chatbot from scratch using PySpark Develop a market-prediction app using stock data Delve into advanced concepts such as computer vision, neural networks, and deep learning Who this book is forThis book is for machine learning practitioners, data scientists, and deep learning enthusiasts who want to take their machine learning skills to the next level by building real-world projects. The intermediate-level guide will help you to implement libraries from the Python ecosystem to build a variety of projects addressing various machine learning domains. Knowledge of Python programming and machine learning concepts will be helpful.

Zehbel: The Clever One is a true story. My family and I lived in Iran for ten years during the 60s and 70s. My younger children were born there and we all thought of Iran as home. We enjoyed a good life there, attending parties at the highest levels of society, meeting important people, and enjoying luxuries like expensive Scotch, Cognac, and the finest caviar. Our children took lessons in water ballet at the Officer's Club, and we all enjoyed an active social life. Americans clung together, living overseas. With the equivalent rank of US Major, we traveled First Class all the way. It was a life we could not have afforded back in the States. I spent most of my time away from my family, setting up equipment all over Iran, often in the line of fire. It was easier to keep negative incidents like that away from my wife and kids. Iranians are a warm and generous people. We formed close friendships with many of them during our time in Iran. I have changed or omitted some names and details to protect our very dear friends. We went about our ordinary lives while a rising tide of terrorism and political intrigue swirled around us. Many times, I almost lost my life, and saw others lose theirs. In truth, we were utterly changed by the people and the times in which we lived. The friends we made and the experiences we shared forged bonds that will last a lifetime.