Learning Predictive Analytics with Python. Click here to enter text

Ashish Kumar

Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form - It needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. Learning to predict who would win, lose, buy, lie, or die with Python is an indispensable skill set to have in this data age. This book is your guide to getting started with Predictive Analytics using Python. You will see how to process data and make predictive models from it. We balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and numpy. You’ll start by getting an understanding of the basics of predictive modeling, then you will see how to cleanse your data of impurities and get it ready it for predictive modeling. You will also learn more about the best predictive modeling algorithms such as Linear Regression, Decision Trees, and Logistic Regression. Finally, you will see the best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world.

Machine Learning: End-to-End guide for Java developers. Data Analysis, Machine Learning, and Neural Networks simplified

Boštjan Kaluža, Krishna Choppella, Uday Kamath

Machine Learning is one of the core area of Artificial Intelligence where computers are trained to self-learn, grow, change, and develop on their own without being explicitly programmed. In this course, we cover how Java is employed to build powerful machine learning models to address the problems being faced in the world of Data Science. The course demonstrates complex data extraction and statistical analysis techniques supported by Java, applying various machine learning methods, exploring machine learning sub-domains, and exploring real-world use cases such as recommendation systems, fraud detection, natural language processing, and more, using Java programming. The course begins with an introduction to data science and basic data science tasks such as data collection, data cleaning, data analysis, and data visualization. The next section has a detailed overview of statistical techniques, covering machine learning, neural networks, and deep learning. The next couple of sections cover applying machine learning methods using Java to a variety of chores including classifying, predicting, forecasting, market basket analysis, clustering stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, and deep learning.The last section highlights real-world test cases such as performing activity recognition, developing image recognition, text classification, and anomaly detection. The course includes premium content from three of our most popular books:[*]Java for Data Science[*]Machine Learning in Java [*]Mastering Java Machine LearningOn completion of this course, you will understand various machine learning techniques, different machine learning java algorithms you can use to gain data insights, building data models to analyze larger complex data sets, and incubating applications using Java and machine learning algorithms in the field of artificial intelligence.

Mastering Machine Learning Algorithms. Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Second Edition

Giuseppe Bonaccorso

Mastering Machine Learning Algorithms, Second Edition helps you harness the real power of machine learning algorithms in order to implement smarter ways of meeting today's overwhelming data needs. This newly updated and revised guide will help you master algorithms used widely in semi-supervised learning, reinforcement learning, supervised learning, and unsupervised learning domains.You will use all the modern libraries from the Python ecosystem – including NumPy and Keras – to extract features from varied complexities of data. Ranging from Bayesian models to the Markov chain Monte Carlo algorithm to Hidden Markov models, this machine learning book teaches you how to extract features from your dataset, perform complex dimensionality reduction, and train supervised and semi-supervised models by making use of Python-based libraries such as scikit-learn. You will also discover practical applications for complex techniques such as maximum likelihood estimation, Hebbian learning, and ensemble learning, and how to use TensorFlow 2.x to train effective deep neural networks.By the end of this book, you will be ready to implement and solve end-to-end machine learning problems and use case scenarios.

Managing Data Science. Effective strategies to manage data science projects and build a sustainable team

Kirill Dubovikov

Data science and machine learning can transform any organization and unlock new opportunities. However, employing the right management strategies is crucial to guide the solution from prototype to production. Traditional approaches often fail as they don't entirely meet the conditions and requirements necessary for current data science projects. In this book, you'll explore the right approach to data science project management, along with useful tips and best practices to guide you along the way. After understanding the practical applications of data science and artificial intelligence, you'll see how to incorporate them into your solutions. Next, you will go through the data science project life cycle, explore the common pitfalls encountered at each step, and learn how to avoid them. Any data science project requires a skilled team, and this book will offer the right advice for hiring and growing a data science team for your organization. Later, you'll be shown how to efficiently manage and improve your data science projects through the use of DevOps and ModelOps. By the end of this book, you will be well versed with various data science solutions and have gained practical insights into tackling the different challenges that you'll encounter on a daily basis.

Unity Virtual Reality Projects. Learn Virtual Reality by developing more than 10 engaging projects with Unity 2018 - Second Edition

Jonathan Linowes

Unity has become the leading platform for building virtual reality games, applications, and experiences for this new generation of consumer VR devices. Unity Virtual Reality Projects walks you through a series of hands-on tutorials and in-depth discussions on using the Unity game engine to develop VR applications. With its practical and project-based approach, this book will get you up to speed with the specifics of VR development in Unity. You will learn how to use Unity to develop VR applications that can be experienced with devices such as Oculus, Daydream, and Vive. Among the many topics and projects, you will explore gaze-based versus hand-controller input, world space UI canvases, locomotion and teleportation, software design patterns, 360-degree media, timeline animation, and multiplayer networking. You will learn about the Unity 3D game engine via the interactive Unity Editor, and you will also learn about C# programming. By the end of the book, you will be fully equipped to develop rich, interactive VR experiences using Unity.

The MVVM Pattern in .NET MAUI. The definitive guide to essential patterns, best practices, and techniques for cross-platform app development

Pieter Nijs, David Ortinau

In today's fast-paced world of modern software development, teams need to be efficient, productive, and capable of rapidly adapting to changes to deliver high-quality products, making it crucial for developers to write maintainable and easy-to-test code.The MVVM Pattern in .NET MAUI helps you to thoroughly explore the Model-View-View Model (MVVM) design pattern. The chapters show you how this pattern helps in structuring code to embrace the separation of concerns, allowing for loosely coupled user interface and application logic, which ultimately empowers you to write more robust, maintainable, and testable code. The book also highlights .NET MAUI's capabilities and features, and enables you to delve into the essential components within the framework that facilitate the application of the MVVM pattern. With the help of a sample application, this definitive guide takes a hands-on approach to walk you through both the essential and advanced usages of the MVVM pattern to ensure that you successfully apply the practical aspects of the pattern to your .NET MAUI projects.By the end of this book, you’ll have gained a comprehensive understanding of the MVVM design pattern and its relevance in the context of .NET MAUI, as well as developed the skills needed to successfully apply it in practice.

Creating Templates with Artisteer. Why pay for a professional website when you can do it yourself with this hands-on guide to Artisteer? With no need for HTML, web-programming, or drawing skills, this book is all you require to create fantastic CMS templates

Jakub Sanecki

Designing good looking, professional quality web templates or building your own website are rather complicated tasks, demanding a lot of technical and graphical expertise. Artisteer has changed this situation, enabling you to do it by yourself, without the need to learn skills such as HTML, web-programming languages, or drawing.Creating stunning Templates with Artisteer is a practical, step-by-step guide that will show you how you can prepare an elegant, professional looking website, on your own, using features of Artisteer. It also describes the process of designing templates for various popular CMS platforms like WordPress or Joomla!, by giving you practical hints, showing how to install those templates and how to import the content into CMS. Creating stunning Templates with Artisteer leads you through the process of designing a website, including all standard layout elements, from header to the footer, including menus and special boxes. You will learn how to prepare the templates, store them and export them in the form of ready-to-use HTML pages or packages that can be installed in various CMS platforms such as WordPress, Joomla!, Drupal, or DotNetNuke. The last part of the book shows you some tips and tricks that allow you to extend standard themes generated by Artisteer for enriching the website with image gallery, combining two menus, and more.You will learn how to create a professional quality website or CMS template on your own, with the use of Artisteer with minimal technical difficulties.

Cardboard VR Projects for Android. Develop mobile virtual reality apps using the native Google Cardboard SDK for Android

Jonathan Linowes, Matt Schoen

Google Cardboard is a low-cost, entry-level media platform through which you can experience virtual reality and virtual 3D environments. Its applications are as broad and varied as mobile smartphone applications themselves. This book will educate you on the best practices and methodology needed to build effective, stable, and performant mobile VR applications.In this book, we begin by defining virtual reality (VR) and how Google Cardboard fits into the larger VR and Android ecosystem. We introduce the underlying scientific and technical principles behind VR, including geometry, optics, rendering, and mobile software architecture. We start with a simple example app that ensures your environment is properly set up to write, build, and run the app. Then we develop a reusable VR graphics engine that you can build upon. And from then on, each chapter is a self-contained project where you will build an example from a different genre of application, including a 360 degree photo viewer, an educational simulation of our solar system, a 3D model viewer, and a music visualizer.Given the recent updates that were rolled out at Google I/O 2016, the authors of Cardboard VR Projects for Android have collated some technical notes to help you execute the projects in this book with Google VR Cardboard Java SDK 0.8, released in May 2016. Refer to the article at https://www.packtpub.com/sites/default/files/downloads/GoogleVRUpdateGuideforCardbook.pdf which explains the updates to the source code of the projects.

Digital Marketing with Drupal. The ultimate guide to build and deploy a complete digital marketing platform on top of Drupal

José Fernandes, Dries Buytaert

Drupal is an open-source platform for building ambitious digital experiences. With this practical guide to digital marketing, developers working with Drupal will be able to put their knowledge to work and boost the performance of their online marketing campaigns.Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book will take you through the most popular digital marketing techniques and how to apply them, including content marketing, email marketing, social media marketing, SEO, SEM, CRM, and marketing automation, and the latest developments in website personalization and AI marketing. Once you've learned the fundamentals of digital marketing, you'll see how to apply them to your Drupal website or online store. In addition, you'll discover how Drupal can help you better manage your tasks and automate some of them. The book will help you discover the free modules available, how to use them, and how to integrate Drupal with external marketing-related platforms and services.By the end of this Drupal digital marketing book, you'll be able to build and deploy a complete digital marketing platform on top of Drupal to reach a greater audience and achieve online success.

Intelligent Document Capture with Ephesoft. Learn to use open source software to automate the processing of scanned and digital documents to save time, save money, and improve accuracy with this book and

Clifford Laurin, Michael Muller, Ike Kavas, Pat Myers, ...

Ephesoft is an open source document capture solution. Everyone talks about the paperless work place but the reality is that paper still exists and will continue to be part of your business. Capturing the document's content using Ephesoft can minimize the time your company spends reviewing and processing physical documents.Intelligent Document Capture with Ephesoft teaches you about document capture in general and implementation of document capture using Ephesoft. Start by learning about document capture, the history of document capture, and intelligent document capture. Progress to a tour of Ephesoft's key features, including operator and administrator interfaces and then learn to configure Ephesoft to process your business's specific document types and extract content from those documents. Finally, learn advanced customization techniques that make Ephesoft accommodate your unique business needs.Intelligent Document Capture with Ephesoft will teach you to optimize the processing of your physical document, saving your company time and money.

Raspberry Pi LED Blueprints. Design, build, and test LED-based projects using the Raspberry Pi

Agus Kurniawan

iOS Forensics for Investigators. Take mobile forensics to the next level by analyzing, extracting, and reporting sensitive evidence

Gianluca Tiepolo

Professionals working in the mobile forensics industry will be able to put their knowledge to work with this practical guide to learning how to extract and analyze all available data from an iOS device.This book is a comprehensive, how-to guide that leads investigators through the process of collecting mobile devices and preserving, extracting, and analyzing data, as well as building a report. Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, this book starts by covering the fundamentals of mobile forensics and how to overcome challenges in extracting data from iOS devices. Once you've walked through the basics of iOS, you’ll learn how to use commercial tools to extract and process data and manually search for artifacts stored in database files. Next, you'll find out the correct workflows for handling iOS devices and understand how to extract valuable information to track device usage. You’ll also get to grips with analyzing key artifacts, such as browser history, the pattern of life data, location data, and social network forensics.By the end of this book, you'll be able to establish a proper workflow for handling iOS devices, extracting all available data, and analyzing it to gather precious insights that can be reported as prosecutable evidence.

Swift Cookbook. Over 50 hands-on recipes to help you create apps, solve problems, and build your portfolio of projects in Swift

Cecil Costa, Cecil Costa

Machine Learning Security Principles. Keep data, networks, users, and applications safe from prying eyes

John Paul Mueller, Rod Stephens

Businesses are leveraging the power of AI to make undertakings that used to be complicated and pricy much easier, faster, and cheaper. The first part of this audiobook will explore these processes in more depth, which will help you in understanding the role security plays in machine learning.As you progress to the second part, you’ll learn more about the environments where ML is commonly used and dive into the security threats that plague them using code, graphics, and real-world references.The next part of the audiobook will guide you through the process of detecting hacker behaviors in the modern computing environment, where fraud takes many forms in ML, from gaining sales through fake reviews to destroying an adversary’s reputation. Once you’ve understood hacker goals and detection techniques, you’ll learn about the ramifications of deep fakes, followed by mitigation strategies.This audiobook also takes you through best practices for embracing ethical data sourcing, which reduces the security risk associated with data. You’ll see how the simple act of removing personally identifiable information (PII) from a dataset lowers the risk of social engineering attacks.By the end of this machine learning audiobook, you'll have an increased awareness of the various attacks and the techniques to secure your ML systems effectively.

App Inventor 2 Essentials. A step-by-step introductory guide to mobile app development with App Inventor 2

Felicia Kamriani, Krishnendu Roy

App Inventor 2 will take you on a journey of mobile app development. We begin by introducing you to the functionalities of App Inventor and giving you an idea about the types of apps you can develop using it. We walk you through the technical set up so you can take advantage of the interactive development environment (live testing). You will get hands-on, practical experience building three different apps using tutorials. Along the way, you will learn computer science principles as well as tips to help you prepare for the creative process of building an app from scratch. By the end of the journey, you will learn how to package an app and deploy it to app markets. App Inventor 2 Essentials prepares you to amass a resource of skills, knowledge and experience to become a mobile app developer

Moodle 3 Administration. An administrator’s guide to configuring, securing, customizing, and extending Moodle - Third Edition

Alex Büchner

Moodle is the de facto standard for open source learning platforms. However, setting up and managing a learning environment can be a complex task since it covers a wide range of technical, organizational, and pedagogical topics. This ranges from basic user and course management, to configuring plugins and design elements, all the way to system settings, performance optimization, events frameworks, and so on.This book concentrates on basic tasks such as how to set up and configure Moodle and how to perform day-to-day administration activities, and progresses on to more advanced topics that show you how to customize and extend Moodle, manage courses, cohorts, and users, and how to work with roles and capabilities. You’ll learn to configure Moodle plugins and ensure your VLE conforms to pedagogical and technical requirements in your organization. You’ll then learn how to integrate the VLE via web services and network it with other sites, including Mahara, and extend your system via plugins and LTI. By the end of this book, you will be able to set up an efficient, fully fledged, and secure Moodle system.