Machine Learning with Go Quick Start Guide. Hands-on techniques for building supervised and unsupervised machine learning workflows

Michael Bironneau, Toby Coleman

Machine learning is an essential part of today's data-driven world and is extensively used across industries, including financial forecasting, robotics, and web technology. This book will teach you how to efficiently develop machine learning applications in Go.The book starts with an introduction to machine learning and its development process, explaining the types of problems that it aims to solve and the solutions it offers. It then covers setting up a frictionless Go development environment, including running Go interactively with Jupyter notebooks. Finally, common data processing techniques are introduced.The book then teaches the reader about supervised and unsupervised learning techniques through worked examples that include the implementation of evaluation metrics. These worked examples make use of the prominent open-source libraries GoML and Gonum.The book also teaches readers how to load a pre-trained model and use it to make predictions. It then moves on to the operational side of running machine learning applications: deployment, Continuous Integration, and helpful advice for effective logging and monitoring.At the end of the book, readers will learn how to set up a machine learning project for success, formulating realistic success criteria and accurately translating business requirements into technical ones.

Hands-On Data Analysis with Scala. Perform data collection, processing, manipulation, and visualization with Scala

Rajesh Gupta

Efficient business decisions with an accurate sense of business data helps in delivering better performance across products and services. This book helps you to leverage the popular Scala libraries and tools for performing core data analysis tasks with ease.The book begins with a quick overview of the building blocks of a standard data analysis process. You will learn to perform basic tasks like Extraction, Staging, Validation, Cleaning, and Shaping of datasets. You will later deep dive into the data exploration and visualization areas of the data analysis life cycle. You will make use of popular Scala libraries like Saddle, Breeze, Vegas, and PredictionIO for processing your datasets. You will learn statistical methods for deriving meaningful insights from data. You will also learn to create applications for Apache Spark 2.x on complex data analysis, in real-time. You will discover traditional machine learning techniques for doing data analysis. Furthermore, you will also be introduced to neural networks and deep learning from a data analysis standpoint.By the end of this book, you will be capable of handling large sets of structured and unstructured data, perform exploratory analysis, and building efficient Scala applications for discovering and delivering insights

Microsoft SharePoint 2010 Development with Visual Studio 2010 Expert Cookbook. Develop, debug, and deploy business solutions for SharePoint applications using Visual Studio 2010 with this book and

Balaji Kithiganahalli

Microsoft SharePoint 2010, is the best-in-class platform for content management and collaboration. With the combined capabilities of Sharepoint and Visual Studio, developers have an end-to-end business solutions development IDE. To leverage this powerful combination of tools it is necessary to understand the different building blocks. This book will provide necessary concepts and present ways to develop complex business solutions and take them further.SharePoint 2010 Development Cookbook With Visual Studio 2010 is an instructional guide for developing and debugging applications for SharePoint 2010 environment using Visual Studio 2010. The cookbook approach helps you to dip into any recipe that interests you, you can also read it from cover to cover if you want to get hands on with the complete application development cycle.With this book you will learn to develop event handlers, workflows, content types, web parts, client object model applications, and web services for SharePoint 2010 in an instructional manner. You will discover the less known facts behind debugging feature receivers, deployment of web parts, utilizing free toolkits to enhance the development and debugging experience. You will learn the newer development approach called Visual Web Parts, how to develop and deploy Silverlight applications that can be used with Silverlight web part. You will also explore SandBoxed deployment model and its usage. You will create your own web services for SharePoint and the Client Object Model introduced in SharePoint 2010. All in all, you will develop Sharepoint solutions in an instructional manner that eases the learning process.

Liferay Portal Systems Development. Build dynamic, content-rich, and social systems on top of Liferay with this book and

Jonas Xiangru Yuan, Jonas X. Yuan

Liferay portal is one of the most mature portal frameworks in the market, offering many key business benefits that involve personalization, customization, content management systems, web content management, collaboration, social networking and workflow. If you are a Java developer who wants to build custom web sites and WAP sites using Liferay portal, this book is all you need.Liferay Portal Systems Development shows Java developers how to use Liferay kernel 6.1 and above as a framework to develop custom web and WAP systems which will help you to maximize your productivity gains. Get ready for a rich, friendly, intuitive, and collaborative end-user experience!The clear, practical examples in the sample application that runs throughout this book will enable professional Java developers to build custom web sites, portals, and mobile applications using Liferay portal as a framework. You will learn how to make all of your organization's data and web content easily accessible by customizing Liferay into a single point of access. The book will also show you how to improve your inter-company communication by enhancing your web and WAP sites to easily share content with colleagues.

Django 1.0 Template Development. A practical guide to Django template development with custom tags, filters, multiple templates, caching, and more

Scott Newman, Jacob Kaplan-Moss

Lightning-Fast Mobile App Development with Galio. Build stylish cross-platform mobile apps with Galio and React Native

Alin Gheorghe

Galio is a free open source React Native framework that enables beginner-level programmers to quickly build cross-platform mobile apps by leveraging its beautifully designed ready-made components. This book helps you to learn about React Native app development while building impressive out-of-the-box apps with Galio.Lightning Fast Mobile App Development with Galio takes a hands-on approach to implementation and associated methodologies that will have you up and running and productive in no time. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, you will begin by exploring the basics of React Native and understanding how Galio works. As you make progress, you'll learn how to initialize and configure a React Native app and get to grips with the basics of React Native development. You'll also discover how packages work and how to install Galio as the main dependency, along with understanding how and why Galio helps you to develop apps with ease. Finally, you'll build three practical and exciting apps using React Native and Galio.By the end of this app development book, you'll have learned how to use Galio to quickly create layouts and set up React Native projects for your personal ideas.

Apache Roller 4.0 - Beginner's Guide. A comprehensive, step-by-step guide on how to set up, customize, and market your blog using Apache Roller

Alfonso V. Romero, Brian Fitzpatrick, Alfonso Vidal Romero

Apache Roller enables you to build a fully-featured, multi-user blog server apt for all kinds of blogging sites. It is an ideal tool to create your own blogging network with unlimited users and blogs, forums, photo galleries, and more! While it is exciting to have a list of interesting features it can offer you, it might be a little difficult to get started with it by your self.This book will teach you how to get started with Apache Roller and make the most of all its features using step-by-step, detailed instructions. You will learn how to establish your internet presence with an Apache Roller blog and use the latest web tools to enhance your posts and attract visitors. You will also learn how to promote your blog on popular social bookmarking services and customize it to suit your need.This hands-on and practical book introduces you to Apache Roller. Starting off with the configuration and installation of your own blog, you'll then quickly learn how to add interesting content to your blog with the help of plenty of examples. You'll also learn how to change your blog's visual appearance with the help of Roller themes and templates and how to create a community of blogs for you and your colleagues or friends in your Apache Roller blog server. The book also looks at ways you can manage your community, and keep your site safe and secure, ensuring that it is a spam-free, enjoyable community for your users.

Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras

Yuxi (Hayden) Liu, Saransh Mehta

Deep learning architectures are composed of multilevel nonlinear operations that represent high-level abstractions; this allows you to learn useful feature representations from the data. This book will help you learn and implement deep learning architectures to resolve various deep learning research problems.Hands-On Deep Learning Architectures with Python explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations and ideas to help you build efficient artificial intelligence systems (AI), this book will help you learn how neural networks play a major role in building deep architectures. You will understand various deep learning architectures (such as AlexNet, VGG Net, GoogleNet) with easy-to-follow code and diagrams. In addition to this, the book will also guide you in building and training various deep architectures such as the Boltzmann mechanism, autoencoders, convolutional neural networks (CNNs), recurrent neural networks (RNNs), natural language processing (NLP), GAN, and more—all with practical implementations.By the end of this book, you will be able to construct deep models using popular frameworks and datasets with the required design patterns for each architecture. You will be ready to explore the potential of deep architectures in today's world.