Learn TensorFlow Enterprise. Build, manage, and scale machine learning workloads seamlessly using Google's TensorFlow Enterprise

KC Tung

TensorFlow as a machine learning (ML) library has matured into a production-ready ecosystem. This beginner’s book uses practical examples to enable you to build and deploy TensorFlow models using optimal settings that ensure long-term support without having to worry about library deprecation or being left behind when it comes to bug fixes or workarounds.The book begins by showing you how to refine your TensorFlow project and set it up for enterprise-level deployment. You’ll then learn how to choose a future-proof version of TensorFlow. As you advance, you’ll find out how to build and deploy models in a robust and stable environment by following recommended practices made available in TensorFlow Enterprise. This book also teaches you how to manage your services better and enhance the performance and reliability of your artificial intelligence (AI) applications. You’ll discover how to use various enterprise-ready services to accelerate your ML and AI workflows on Google Cloud Platform (GCP). Finally, you’ll scale your ML models and handle heavy workloads across CPUs, GPUs, and Cloud TPUs.By the end of this TensorFlow book, you’ll have learned the patterns needed for TensorFlow Enterprise model development, data pipelines, training, and deployment.

OpenGL - Build high performance graphics. Assimilate the ideas shared in the course to utilize the power of OpenGL to perform a wide variety of tasks

William Lo, Muhammad Mobeen Movania, Raymond Chun Hing Lo

OpenGL is a fully functional, cross-platform API widely adopted across the industry for 2D and 3D graphics development. It is mainly used for game development and applications, but is equally popular in a vast variety of additional sectors. This practical course will help you gain proficiency with OpenGL and build compelling graphics for your games and applications. OpenGL Development Cookbook – This is your go-to guide to learn graphical programming techniques and implement 3D animations with OpenGL. This straight-talking Cookbook is perfect for intermediate C++ programmers who want to exploit the full potential of OpenGL. Full of practical techniques for implementing amazing computer graphics and visualizations using OpenGL. OpenGL 4.0 Shading Language Cookbook, Second Edition – With Version 4, the language has been further refined to provide programmers with greater power and flexibility, with new stages such as tessellation and compute. OpenGL Shading Language 4 Cookbook is a practical guide that takes you from the fundamentals of programming with modern GLSL and OpenGL, through to advanced techniques.OpenGL Data Visualization Cookbook - This easy-to-follow, comprehensive Cookbook shows readers how to create a variety of real-time, interactive data visualization tools. Each topic is explained in a step-by-step format. A range of hot topics is included, including stereoscopic 3D rendering and data visualization on mobile/wearable platforms. By the end of this guide, you will be equipped with the essential skills to develop a wide range of impressive OpenGL-based applications for your unique data visualization needs.This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products, OpenGL Development Cookbook by Muhammad Mobeen Movania, OpenGL 4.0 Shading Language Cookbook, Second Edition by David Wolff, OpenGL Data Visualization Cookbook by Raymond C. H. Lo, William C. Y. Lo

Efficiency Best Practices for Microsoft 365. Discover ways to improve your efficiency and save time using M365 applications

Dr. Nitin Paranjape

Efficiency Best Practices for Microsoft 365 covers the entire range of over 25 desktop and mobile applications on the Microsoft 365 platform. This book will provide simple, immediately usable, and authoritative guidance to help you save at least 20 minutes every day, advance in your career, and achieve business growth.You'll start by covering components and tasks such as creating and storing files and then move on to data management and data analysis. As you progress through the chapters, you'll learn how to manage, monitor, and execute your tasks efficiently, focusing on creating a master task list, linking notes to meetings, and more. The book also guides you through handling projects involving many people and external contractors/agencies; you'll explore effective email communication, meeting management, and open collaboration across the organization. You'll also learn how to automate different repetitive tasks quickly and easily, even if you’re not a programmer, transforming the way you import, clean, and analyze data.By the end of this Microsoft 365 book, you'll have gained the skills you need to improve efficiency with the help of expert tips and techniques for using M365 apps.

Working with Odoo 11. Configure, manage, and customize your Odoo system - Third Edition

Greg Moss

Odoo is an all-in-one management software that offers an array of business applications, forming a complete suite of enterprise management applications. Odoo 11 comes with advances on usability, speed, and design.Working with Odoo 11 starts with how to set up Odoo, both online and on your own server. You’ll then configure the basic company settings required to quickly get your first Odoo system up and running. Later, you’ll explore customer relationship management in Odoo and its importance in a modern business environment. You'll then dive into purchasing applications with Odoo, learn some of the primary functionalities of ERP systems for manufacturing operations, and use analytic accounting to provide better reporting. After that, you'll learn how to work with Odoo for mobile, and finally, you will walk through the recent Odoo 11 features with respect to the community and enterprise edition, giving you a complete understanding of what Odoo can do for your business.

VMware Horizon 6 Desktop Virtualization Solutions. Plan, design, and secure your virtual desktop environments with VMware Horizon 6 View

Ryan Cartwright, Charles E Mills Jr

Java EE 7 Development with WildFly. Leverage the power of the WildFly application server from JBoss to develop modern Java EE 7 applications

Michal Matloka, Michael matloka, Francesco Marchioni, Michal Cmil

Learning Modular Java Programming. Explore the power of modular programming for building applications with Java and Spring!

Tejaswini Mandar Jog

Modular programming means dividing an application into small parts and then developing it. It is an approach taken by developers to build applications and helps them add efficiency in their development process, thus making it more effective.The book starts with the fundamentals of Modular Programming. Then we move on to the actual implementation, where we teach developers how to divide an application into different modules or layers (such as presentation, execution, security, lifecycle, services, and so on) for better management. Once readers are well-versed in these modules and their development, the book shows how to create bindings in order to join these different modules and form a complete application. Next, the readers will learn how to manage these modules through dependency injection.Later, we move on to testing; readers will learn how to test the different modules of an application. The book ends by teaching readers how to maintain different versions of their application and how to modify it. By the end of the book, readers will have a good understanding of modular programming and will be able to use it to build applications with Java.

Large Scale Machine Learning with Python. Click here to enter text

Bastiaan Sjardin, Alberto Boschetti, Luca Massaron

Large Python machine learning projects involve new problems associated with specialized machine learning architectures and designs that many data scientists have yet to tackle. But finding algorithms and designing and building platforms that deal with large sets of data is a growing need. Data scientists have to manage and maintain increasingly complex data projects, and with the rise of big data comes an increasing demand for computational and algorithmic efficiency. Large Scale Machine Learning with Python uncovers a new wave of machine learning algorithms that meet scalability demands together with a high predictive accuracy. Dive into scalable machine learning and the three forms of scalability. Speed up algorithms that can be used on a desktop computer with tips on parallelization and memory allocation. Get to grips with new algorithms that are specifically designed for large projects and can handle bigger files, and learn about machine learning in big data environments. We will also cover the most effective machine learning techniques on a map reduce framework in Hadoop and Spark in Python.