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Marilyn Monroe
Examines in text and photographs the life and career of the most celebrated motion picture actress in the history of show business.
Learning Styles and the Nursing Profession
Because students learn in different ways, teachers adapt curricula to diverse learning styles. This book presents state-of-the-art research and information on how to use learning-style based instruction in teaching and professional development for nurse and allied health educators.
Oddball Indiana
Indiana often calls itself the Crossroads of the Nation. It's not also perhaps the very nexus of US weirdness. Armed with Oddball Indiana, you'll soon discover the strange underbelly of the Hoosier State, from brain sandwiches to square donuts. Indiana has monuments to Michael Jackson, the comic strip character Joe Palooka, and the World's Largest Egg. It's where Alka-Seltzer and Wonder Bread were invented, where A Christmas Story actually took place, and where the good but angry citizens of Plainfield conspired to dump President Martin Van Buren in a mud puddle. Along with humorous histories and offbeat observations, Oddball Indiana provides addresses, websites, hours, fees, and driving directions for each of its 350+ entries.
Man’s Fate and God’s Choice
Stagnate as a 'creepy caterpillar' or transform into a 'beauteous butterfly'-this path-breaking book of a rare genre suggests-is the seminal choice before mankind, and every one of us. In this setting, the book raises some fundamental questions: What is man's rightful place in the cosmos and his manifest destiny on earth? Why are we so self-righteously self-destructive? Are we a doomed species? Or 'divine' beings struggling to overcome the hubris of the human intellect? Is God getting weary of mankind? How should we synergize human effort and Divine Grace? The book posits that any betterment in human behavior needs a cathartic change at the deepest levels. That requires diluting the dominanc...
Inside Deep Learning
Journey through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems. In Inside Deep Learning, you will learn how to: Implement deep learning with PyTorch Select the right deep learning components Train and evaluate a deep learning model Fine tune deep learning models to maximize performance Understand deep learning terminology Adapt existing PyTorch code to solve new problems Inside Deep Learning is an accessible guide to implementing deep learning with the PyTorch framework. It demystifies complex deep learning concepts and teaches you to understand the vocabulary of deep learning so you can keep pace in a rapidly evolving field. ...
Dying to Please
This second edition updates the 1983 work ("a gem"--Booklist) with a wealth of new information. The author, a therapist and recovered anorexic, draws upon her own experience and extensive research to produce a comprehensive account of the symptoms, causes and treatments of anorexia nervosa. She illuminates the anorexic's paradox--self-annihilation in service of self-preservation--and the central task of recovery: development of a Self. The author addresses the origins and attributes of anorexia and accompanying disorders, the use and misuse of the Internet, and the concept of recovery. She addresses different therapies in detail, as well as therapies for families and interventions. A directory of organizations, a list of resources for information and referral, a bibliography and index are included.
Causal AI
Build AI models that can reliably deliver causal inference. How do you know what might have happened, had you done things differently? Causal AI gives you the insight you need to make predictions and control outcomes based on causal relationships instead of pure correlation, so you can make precise and timely interventions. Causal AI is a practical introduction to building AI models that can reason about causality. In Causal AI you will learn how to: * Build causal reinforcement learning algorithms * Implement causal inference with modern probabilistic machine tools such as PyTorch and Pyro * Compare and contrast statistical and econometric methods for causal inference * Set up algorithms fo...
React in Depth
A guide to the advanced React skills used by the very best React developers. React in Depth teaches the React libraries, tools and techniques that are vital to build amazing apps. You’ll put each skill you learn into practice with hands-on projects like a goal-focused task manager, expenses tracker, and custom UI library. In React in Depth you will learn how to: • Assess technologies in the React ecosystem • Implement advanced component patterns to improve React code • Optimize React performance for a smooth user experience • Use developer tooling for better code maintenance and debugging • Work with TypeScript for type safety • Use CSS in JavaScript for efficient styling • M...
Infrastructure as Code, Patterns and Practices
Use Infrastructure as Code (IaC) to automate, test, and streamline infrastructure for business-critical systems. In Infrastructure as Code, Patterns and Practices you will learn how to: Optimize infrastructure for modularity and isolate dependencies Test infrastructure configuration Mitigate, troubleshoot, and isolate failed infrastructure changes Collaborate across teams on infrastructure development Update infrastructure with minimal downtime using blue-green deployments Scale infrastructure systems supporting multiple business units Use patterns for provisioning tools, configuration management, and image building Deliver secure infrastructure configuration to production Infrastructure as ...
Fast Python
Master Python techniques and libraries to reduce run times, efficiently handle huge datasets, and optimize execution for complex machine learning applications. Fast Python is a toolbox of techniques for high performance Python including: Writing efficient pure-Python code Optimizing the NumPy and pandas libraries Rewriting critical code in Cython Designing persistent data structures Tailoring code for different architectures Implementing Python GPU computing Fast Python is your guide to optimizing every part of your Python-based data analysis process, from the pure Python code you write to managing the resources of modern hardware and GPUs. You'll learn to rewrite inefficient data structures...
