JIRA 6.x Administration Cookbook. Over 100 hands-on recipes to help you efficiently administer, customize, and extend your JIRA 6 implementation

Patrick Li

Natural Language Processing with Java. Techniques for building machine learning and neural network models for NLP - Second Edition

AshishSingh Bhatia, Richard M. Reese

Natural Language Processing (NLP) allows you to take any sentence and identify patterns, special names, company names, and more. The second edition of Natural Language Processing with Java teaches you how to perform language analysis with the help of Java libraries, while constantly gaining insights from the outcomes.You’ll start by understanding how NLP and its various concepts work. Having got to grips with the basics, you’ll explore important tools and libraries in Java for NLP, such as CoreNLP, OpenNLP, Neuroph, and Mallet. You’ll then start performing NLP on different inputs and tasks, such as tokenization, model training, parts-of-speech and parsing trees. You’ll learn about statistical machine translation, summarization, dialog systems, complex searches, supervised and unsupervised NLP, and more.By the end of this book, you’ll have learned more about NLP, neural networks, and various other trained models in Java for enhancing the performance of NLP applications.

Cloud Scale Analytics with Azure Data Services. Build modern data warehouses on Microsoft Azure

Patrik Borosch

Azure Data Lake, the modern data warehouse architecture, and related data services on Azure enable organizations to build their own customized analytical platform to fit any analytical requirements in terms of volume, speed, and quality.This book is your guide to learning all the features and capabilities of Azure data services for storing, processing, and analyzing data (structured, unstructured, and semi-structured) of any size. You will explore key techniques for ingesting and storing data and perform batch, streaming, and interactive analytics. The book also shows you how to overcome various challenges and complexities relating to productivity and scaling. Next, you will be able to develop and run massive data workloads to perform different actions. Using a cloud-based big data-modern data warehouse-analytics setup, you will also be able to build secure, scalable data estates for enterprises. Finally, you will not only learn how to develop a data warehouse but also understand how to create enterprise-grade security and auditing big data programs.By the end of this Azure book, you will have learned how to develop a powerful and efficient analytical platform to meet enterprise needs.

Learning .NET High-performance Programming. Learn everything you need to know about performance-oriented programming for the .NET Framework

Antonio Esposito

Modern Computer Vision with PyTorch. Explore deep learning concepts and implement over 50 real-world image applications

V Kishore Ayyadevara, Yeshwanth Reddy

Deep learning is the driving force behind many recent advances in various computer vision (CV) applications. This book takes a hands-on approach to help you to solve over 50 CV problems using PyTorch1.x on real-world datasets.You’ll start by building a neural network (NN) from scratch using NumPy and PyTorch and discover best practices for tweaking its hyperparameters. You’ll then perform image classification using convolutional neural networks and transfer learning and understand how they work. As you progress, you’ll implement multiple use cases of 2D and 3D multi-object detection, segmentation, human-pose-estimation by learning about the R-CNN family, SSD, YOLO, U-Net architectures, and the Detectron2 platform. The book will also guide you in performing facial expression swapping, generating new faces, and manipulating facial expressions as you explore autoencoders and modern generative adversarial networks. You’ll learn how to combine CV with NLP techniques, such as LSTM and transformer, and RL techniques, such as Deep Q-learning, to implement OCR, image captioning, object detection, and a self-driving car agent. Finally, you'll move your NN model to production on the AWS Cloud.By the end of this book, you’ll be able to leverage modern NN architectures to solve over 50 real-world CV problems confidently.

Moodle 2.0 for Business Beginner's Guide. Implement Moodle in your business to streamline your interview, training, and internal communication processes

Jeanne R Cole, Jason Cole, Jeanne Cole, Gavin Henrick, ...

Many people will recognize Moodle as a Virtual Learning Environment that can be used in schools to teach lessons and organize student information. Fewer people will realize that Moodle can be used in businesses to dispense training, share important documents, and encourage teamwork.Moodle 2.0 for Business Beginner's Guide will show you how to set up Moodle in your corporation. By introducing a system within your company that will allow for a centralized, accessible repository of knowledge, staff training will become a lot more streamlined, and the retention of skills will improve, leading to huge productivity benefits.An easy-to-access, user-friendly system is crucial to keep communication flowing in any successful business. By putting your H.R. documents, newsletters, discussions, and training documents all in one place, which is accessible from the office or from home, you are giving your employees all the information that they need to be productive and become integrated members of your company. This book will show you how to get your important business documents online, as well as the recruitment and training processes. You will learn how to move any existing processes to Moodle, as well as set up new ones that will have you wondering what you did before Moodle came along!

Hands-On Data Structures and Algorithms with Python. Store, manipulate, and access data effectively and boost the performance of your applications - Third Edition

Dr. Basant Agarwal

Choosing the right data structure is pivotal to optimizing the performance and scalability of applications. This new edition of Hands-On Data Structures and Algorithms with Python will expand your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications. You’ll learn how to analyze and compare Python algorithms, and understand which algorithms should be used for a problem based on running time and computational complexity. You will also become confident organizing your code in a manageable, consistent, and scalable way, which will boost your productivity as a Python developer.By the end of this Python book, you’ll be able to manipulate the most important data structures and algorithms to more efficiently store, organize, and access data in your applications.

Google Cloud for Developers. Write, migrate, and extend your code by leveraging Google Cloud

Hector Parra Martinez, Isaac Hernández Vargas

As more organizations embrace cloud computing, developers new to the cloud often feel overwhelmed by cloud migration and code running directly on the cloud. Google Cloud for Developers comes packed with practical tips and expert advice to accelerate your application development journey and help you unlock the full potential of cloud computing.You’ll begin by understanding and comparing all the available options to run your code. You’ll write, deploy, monitor, and troubleshoot your code without leaving the Google Cloud IDE while selecting the best option – serverless or GKE containers – for each use case. After that, you’ll get to grips with the basic Google Cloud infrastructure services and connect your code with public APIs. This will help you add features to your application, such as language translation and object detection in images or videos. Furthermore, you’ll explore a comprehensive list of tips and best practices to make your migration smooth. You’ll also gain the necessary knowledge to write code from scratch, by employing the basics of hybrid cloud applications and build services that can run virtually anywhere.By the end of this book, you’ll be well equipped to carry out the application development process and successfully move your code to Google Cloud.