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Machine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields such as search engines, robotics, self-driving cars, and more. With this book, you will learn how to perform various machine learning tasks in different environments. We’ll start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the book, you’ll use a wide variety of machine learning algorithms to solve real-world problems and use Python to implement these algorithms. You’ll discover how to deal with various types of data and explore the differences between machine learning paradigms such as supervised and unsupervised learning. We also cover a range of regression techniques, classification algorithms, predictive modeling, data visualization techniques, recommendation engines, and more with the help of real-world examples.
Domo is a power-packed business intelligence (BI) platform that empowers organizations to track, analyze, and activate data in record time at cloud scale and performance.Data Democratization with Domo begins with an overview of the Domo ecosystem. You’ll learn how to get data into the cloud with Domo data connectors and Workbench; profile datasets; use Magic ETL to transform data; work with in-memory data sculpting tools (Data Views and Beast Modes); create, edit, and link card visualizations; and create card drill paths using Domo Analyzer. Next, you’ll discover options to distribute content with real-time updates using Domo Embed and digital wallboards. As you advance, you’ll understand how to use alerts and webhooks to drive automated actions. You’ll also build and deploy a custom app to the Domo Appstore and find out how to code Python apps, use Jupyter Notebooks, and insert R custom models. Furthermore, you’ll learn how to use Auto ML to automatically evaluate dozens of models for the best fit using SageMaker and produce a predictive model as well as use Python and the Domo Command Line Interface tool to extend Domo. Finally, you’ll learn how to govern and secure the entire Domo platform.By the end of this book, you’ll have gained the skills you need to become a successful Domo master.
As an updated version of the first ever Elgg book, this is an excellent resource for those interested in Elgg development due to its attention to detail, clearly written style and knowledgeable author. - Dave Tosh, Elgg co-founder.In his book, Cash Costello makes full use of his skills in development and communication to tackle the complex subject of Elgg social networking. This easy-to-read guide gives end users, new developers, and old pros alike a solid base to start their venture into social media with Elgg. I highly recommend it as a useful and enjoyable read.- Brett Profitt, Elgg Lead DeveloperThe web is becoming increasingly social as millions of people use it to blog, share, post, 'friend', 'unfriend' (which was made the Oxford word of the year in 2009), comment, and chat. Elgg ñ your award-winning open source social networking engine ñ is tailor-made to create any social networking or social media website you can imagine.If you want to create a social networking website from scratch using Elgg, then this book is exactly what you need.Elgg 1.8 Social Networking covers everything you need to know about building a social networking site with Elgg. It begins with instructions for installing Elgg, continues with a guided tour of its capabilities, and finishes with practical advice on deploying Elgg on a production server. And in between, it is packed with information on configuring and customizing Elgg through plugins and themes.This book is a learn-by-doing guide to creating your own social networking site. It includes three sample case studies on how Elgg could be used as an e-learning tool, an intranet application for organizations, and a niche social networking site. Step by step it takes you through the installation, configuration, and customization of Elgg. Valuable advice is sprinkled throughout the book to enable you to build your site like an expert.For developers, this book provides a multitude of options. First, there is a tutorial-based section that systematically teaches you how to build plugins. Soon you will have ten plugins for use on your site in addition to all the knowledge you have gained. Second, if you prefer a quick overview, this book has an appendix that describes Elgg using the terminology and design patterns common in web development. Third, if you are interested in creating a theme, it also includes a design tutorial and a catalog of Elgg's view templates.The book then goes on to describe what is involved in running a production website. It has sections on selecting a hosting provider, configuring and tuning the server, backing up the site, and dealing with spammers.
Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications
Dr. Mohammad Abdur Razzaque, Md. Rezaul Karim
Artificial Intelligence is growing quickly, which is driven by advancements in neural networks(NN) and deep learning (DL). With an increase in investments in smart cities, smart healthcare, and industrial Internet of Things (IoT), commercialization of IoT will soon be at peak in which massive amounts of data generated by IoT devices need to be processed at scale. Hands-On Deep Learning for IoT will provide deeper insights into IoT data, which will start by introducing how DL fits into the context of making IoT applications smarter. It then covers how to build deep architectures using TensorFlow, Keras, and Chainer for IoT. You’ll learn how to train convolutional neural networks(CNN) to develop applications for image-based road faults detection and smart garbage separation, followed by implementing voice-initiated smart light control and home access mechanisms powered by recurrent neural networks(RNN). You’ll master IoT applications for indoor localization, predictive maintenance, and locating equipment in a large hospital using autoencoders, DeepFi, and LSTM networks. Furthermore, you’ll learn IoT application development for healthcare with IoT security enhanced. By the end of this book, you will have sufficient knowledge need to use deep learning efficiently to power your IoT-based applications for smarter decision making.
Yii is a high-performance PHP framework for rapid web application development. It is well-designed, well-supported, easy to learn, and easy to maintain. Forms are the basic method used to collect information on the Internet, and in cases like user registration and payment process, there's a lot of data to be presented and the lists can get lengthy.Instant Building Multi-Page Forms with Yii is a simple and descriptive how-to that provides step-by-step recipes to help you in converting your lengthy forms into short, interactive forms. It will guide you through the inbuilt features of Yii framework to help you with this complex job.The book starts with the basics of Yii and will guide you through creating simple forms before then converting your simple forms into multi-page forms. It will use the capabilities of Yii to ease the tasks required to do this.Yii eases your work by providing options like database connectivity. We will also take a look at the automated code generation capabilities of Yii in generating forms and necessary CRUD operations, as well as looking at how to divide a single long form into multiple views with same controller/action, and then add form validations and AJAX support to the forms. We will also cover the upload process and how to customise Yii's looks.
Agile implementation of enterprise architecture (EA) in the cloud is a powerful organizational tool, but it is challenging, particularly for architects who are used to on-premises environments. This in-depth guide will tell you all you need to know to reap the benefits of applying EA in your organization to achieve operational efficiency.Starting with an overview of the foundations of enterprise architecture, you'll see how it can be applied to AWS as well as explore the frameworks AWS provides for EA, such as the AWS Well-Architected Framework. That's not all – the book shows you how these frameworks align with The Open Group Architecture Framework (TOGAF) architecture development method (ADM) and the Zachman Framework so that you can choose the right fit for your organization. As you advance, you'll learn how to apply SAFe to make your organization agile as well as efficient. Once you've gotten to grips with the theory, you can explore use cases and take a quiz at the end of the book to test yourself and see how EA is applied in practice.By the end of this enterprise architecture book, you'll have the skills and knowledge required to apply EA in the cloud with AWS and drive your organization to become super-efficient and agile.
Implementing Microsoft Dynamics NAV. Implementing Microsoft Dynamics NAV 2016 - Third Edition
Alex Chow, Cristina Nicolas Lorente, Laura Nicolas Lorente
Microsoft Dynamics NAV 2016 is an Enterprise Resource Planning (ERP) application used in all kinds of organizations around the world. It provides a great variety of functionality out-of-the-box in different topics such as accounting, sales, purchase processing, logistics, or manufacturing. It also allows companies to grow the application by customizing the solution to meet specific requirements.This book is a hands-on tutorial on working with a real Dynamics NAV implementation. You will learn about the team from your Microsoft Dynamics NAV partner as well as the team within the customer’s company. This book provides an insight into the different tools available to migrate data from the client’s legacy system into Microsoft Dynamics NAV. If you are already live with Microsoft Dynamics NAV, this books talks about upgrades and what to expect from them. We’ll also show you how to implement additional or expanding functionalities within your existing Microsoft Dynamics NAV installation, perform data analysis, debug error messages, and implement free third-party add-ons to your existing installation.This book will empower you with all the skills and knowledge you need for a successful implementation.