Artificial Vision and Language Processing for Robotics. Create end-to-end systems that can power robots with artificial vision and deep learning techniques

Álvaro Morena Alberola, Gonzalo Molina Gallego, Unai Garay Maestre

Artificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. You'll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. You'll then learn how to control the robot with natural language processing commands. You'll study Word2Vec and GloVe embedding techniques, non-numeric data, recurrent neural network (RNNs), and their advanced models. You'll create a simple Word2Vec model with Keras, as well as build a convolutional neural network (CNN) and improve it with data augmentation and transfer learning. You'll study the ROS and build a conversational agent to manage your robot. You'll also integrate your agent with the ROS and convert an image to text and text to speech. You'll learn to build an object recognition system using a video.By the end of this book, you'll have the skills you need to build a functional application that can integrate with a ROS to extract useful information about your environment.

Building a Game with Unity and Blender. Learn how to build a complete 3D game using the industry-leading Unity game development engine and Blender, the graphics software that gives life to your ideas

Gustavo Vitarelli de Queiroz, Lee Zhi Eng

In the wake of the indie game development scene, game development tools are no longer luxury items costing up to millions of dollars but are now affordable by smaller teams or even individual developers. Among these cutting-edge applications, Blender and Unity stand out from the crowd as a powerful combination that allows small-to-no budget indie developers or hobbyists alike to develop games that they have always dreamt of creating.Starting from the beginning, this book will cover designing the game concept, constructing the gameplay, creating the characters and environment, implementing game logic and basic artificial intelligence, and finally deploying the game for others to play. By sequentially working through the steps in each chapter, you will quickly master the skills required to develop your dream game from scratch.

Oracle Solaris 11 Advanced Administration Cookbook. Over 50 advanced recipes to help you configure and administer Oracle Solaris systems

Alexandre Borges

Distributed Machine Learning with Python. Accelerating model training and serving with distributed systems

Guanhua Wang

Reducing time cost in machine learning leads to a shorter waiting time for model training and a faster model updating cycle. Distributed machine learning enables machine learning practitioners to shorten model training and inference time by orders of magnitude. With the help of this practical guide, you'll be able to put your Python development knowledge to work to get up and running with the implementation of distributed machine learning, including multi-node machine learning systems, in no time. You'll begin by exploring how distributed systems work in the machine learning area and how distributed machine learning is applied to state-of-the-art deep learning models. As you advance, you'll see how to use distributed systems to enhance machine learning model training and serving speed. You'll also get to grips with applying data parallel and model parallel approaches before optimizing the in-parallel model training and serving pipeline in local clusters or cloud environments. By the end of this book, you'll have gained the knowledge and skills needed to build and deploy an efficient data processing pipeline for machine learning model training and inference in a distributed manner.

Moodle Theme Development. Click here to enter text

Silvina Paola Hillar

Theming is one of the main features of Moodle, and it can be used to customize your online courses and make them look exactly how you want them to,according to your target audience. If you have been looking for a book that will help you develop Moodle themes that you are proud of, and that your students will enjoy, then this is the book for you.We start off by introducing Moodle 3 and explaining what it is, how it works, and what tools you might need to create a stunning Moodle theme. We then show you how to choose and change the pre-installed Moodle themes in detailed steps, and explain what Moodle themes are and how they work. Next, we show you how to change an existing theme and test the changes that you have made.You can not only plan the customization of theme, but also tailor it using advanced Moodle theming processes; this book is your one-stop guide to creating your own personalized Moodle 3 theme.

Before Machine Learning Volume 3 - Probability and Statistics for A.I . Master Probability, Statistics, and Their Role in AI's Future Evolution

Jorge Brasil

Delve into the importance of probability and statistics in AI, beginning with fundamental measures like mean, median, and variance. This book takes you on a journey through the basics of probability theory, introducing key concepts such as central tendency, variance, and probability distributions. It emphasizes the role of statistical measures in understanding and analyzing data.Building on these foundations, the book explores hypothesis testing, Bayesian inference, and statistical distributions in-depth. Readers will gain practical insights into essential techniques for model evaluation, maximum likelihood estimation, and the interpretation of data in the context of AI applications. Each concept is illustrated with practical examples and case studies to ensure clarity and application.Finally, advanced topics like Markov processes, hierarchical Bayesian models, and multivariate distributions are introduced. The book addresses critical areas like variance, correlation, and hypothesis testing, equipping readers with the skills to tackle real-world challenges in AI and machine learning. Whether you're a student, professional, or AI enthusiast, this book offers the essential statistical tools and knowledge to excel in the field.

Designing Hyper-V Solutions. Deploy Microsoft Virtualization and VDI solutions using real-world Hyper-V configurations

Saurabh Grover

Becoming a PMP(R) Certified Professional. A study guide to mastering project management for the PMP® exam

J. Ashley Hunt

One of the five most prestigious certifications in the world, the PMP® exam is said to be the most difficult non-technical certification exam. With this exam guide, you'll be able to address the challenges in learning advanced project management concepts.This PMP study guide covers all of the 10 project management knowledge areas, 5 process groups, 49 processes, and aspects of the Agile Practice Guide that you need to tailor your projects. With this book, you will understand the best practices found in the sixth edition of the PMBOK® Guide and the newly updated exam content outline. Throughout the book, you'll learn exam objectives in the form of a project for better understanding and effective implementation of real-world project management tasks, helping you to not only prepare for the exam but also implement project management best practices. Finally, you'll get to grips with the entire application and testing processes in PMP® and discover numerous tips and techniques for passing the exam on your first attempt.By the end of this PMP® exam prep book, you'll have a solid understanding of everything you need to pass the PMP® certification exam, and be able to use this handy, on-the-job desktop reference guide to overcome challenges in project management.