P Is for Pterodactyl: The Worst Alphabet Book Ever Hardcover (2018
by Raj Haldar (Author), Chris Carpenter (Author), Maria Beddia (Illustrator)

Let's get real―the English language is bizarre. A might be for apple, but it's also for aisle and aeons. Why does the word "gnat" start with a G but the word "knot" doesn't start with an N? It doesn't always make sense, but don't let these rule-breaking silent letters defeat you!

Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies. At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images. Through hands-on practice with these use cases, you will be able to apply machine learning methods in a wide range of domains. This first course treats the machine learning method as a black box. Using this abstraction, you will focus on understanding tasks of interest, matching these tasks to machine learning tools, and assessing the quality of the output. In subsequent courses, you will delve into the components of this black box by examining models and algorithms.

GitHub is the industry-stand tool for collaborating on and sharing code. It's popular among software developers, project managers, designers, and students for its flexibility and control. This course introduces GitHub and Git, the version control system that GitHub is built upon. Instructor Aaron Stewart, a training content specialist at GitHub, explains the benefits of version control, how to navigate GitHub and the command line, how GitHub and Git are related, and the best practices for communication and collaboration on GitHub. Aaron also reviews the most common tasks, such as branching, commits, and pull requests, and shows you how to create a simple local project and move it to GitHub to share with your team. Once you have completed the course, you should be able to immediately start using Git and GitHub to manage your own code.

Artificial intelligence (AI) can have deeply embedded bias. It's the job of data scientists and developers to ensure their algorithms are fair, transparent, and explainable. This responsibility is critically important when building models that may determine policy-or shape the course of people's lives. In this course, award-winning software engineer Kesha Williams explains how to debias AI with Amazon SageMaker. She shows how to use SageMaker to create a predictive-policing machine-learning model that integrates Rekognition and AWS DeepLens, creating a crime-fighting model that can "see" what's happening in a live scene. By following the development process, you can learn what goes into making a model that doesn't suffer from cultural prejudices. Kesha also discusses how to remove bias in training data, test a model for fairness, and build trust in AI by making models that are explainable.

Getting an MBA is an expensive choice-one almost impossible to justify regardless of the state of the economy. Even the elite schools like Harvard and Wharton offer outdated, assembly-line programs that teach you more about PowerPoint presentations and unnecessary financial models than what it takes to run a real business. You can get better results (and save hundreds of thousands of dollars) by skipping business school altogether.

Marking the 50th anniversary of the Berlin Airlift, this documentary looks back on an uneasy time in world history.
This first "battle" of the cold war started with the Soviet blockade of Berlin, a move to force the Western Allied powers to abandon their post World War II control of West Berlin. The Soviet blockade included all rail, road and water communications.

Pipeline Integration with Maya 2011 and RealFlow 5

In this series of lessons we will learn how Maya and RealFlow can be used together for our projects.

We will begin this course by learning how to import RealFlow meshes into Maya, and we will go step-by-step through the process of adding lights, materials and proper render settings to mimic appearance of realistic glass and liquid materials. From there, we will go deeper into the integration process, learning how to take geometry from Maya into RealFlow, using RealFlow's soft and rigid body dynamics to create moving objects, as well as understanding how scene scale plays a critical role in the behavior of our simulations. We will learn how to cache and re-use RealFlow simulation data and discuss many tips, tricks and techniques that you will be able to use in both the simulation and the rendering stages of your RealFlow projects.

Dan Cruickshank investigates the circumstances and rituals surrounding death in Victorian Britain by piecing together the fate of five apparently unrelated corpses.

The story he uncovers is one of bizarre extremes - of bodysnatchers and the bodies they snatched; of inner-city graveyards so overflowing that the limbs of the dead could be seen protruding from the newly dug earth; of the great new cemeteries where a tomb cost as much as a terrace of houses in east London; of the suspicious resistance which greeted the 'heathenish' practice of cremation; and of the carnage of the Western Front where Victorian ideals about death - and the afterlife - were finally shattered by the violence of the Great War.

Know the basics of C++ and want to further sharpen your skills? Then follow along with C expert Advait Jayant in this first video in the C++ Algorithm Series, and master Pointers and 1-D Arrays

By the end of the course, you will have gained practical knowledge of Linux that will serve as a foundation for getting hands-on with Linux workstation and server administration.
Style and Approach

This step-by-step and fast-paced guide will help you learn the best industry techniques and master monitoring and tuning tools that can be used to check performance-related issues on Linux servers, and analyze results via a practical approach.