Python Machine Learning Cookbook. 100 recipes that teach you how to perform various machine learning tasks in the real world

Prateek Joshi

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.

Mastering Cross-Platform Development with Xamarin. Master the skills required to steer cross-platform applications from drawing board to app store(s) using Xamarin

Can Bilgin, Miljenko Cvjetko, Paulo Ortins, Robert Hellestrae, ...

The main goal of this book is to equip you with the required know-how to successfully analyze, develop, and manage Xamarin cross-platform projects using the most efficient, robust, and scalable implementation patterns.This book starts with general topics such as memory management, asynchronous programming, local storage, and networking, and later moves onto platform-specific features. During this transition, you will learn about key tools to leverage the patterns described, as well as advanced implementation strategies and features. The book also presents User Interface design and implementation concepts on Android and iOS platforms from a Xamarin and cross-platform perspective, with the goal to create a consistent but native UI experience.Finally, we show you the toolset for application lifecycle management to help you prepare the development pipeline to manage and see cross-platform projects through to public or private release.

Instant Hands-on Testing with PHPUnit How-to. A practical guide to getting started with PHPUnit to improve code quality

Michael Lively

No developer wants to accept the inherent difficulty of writing software as an excuse for not finding the bugs in our code before anyone else does. PHPUnit is a framework that was created to allow developers to solve that very problem. It provides a feature-rich environment with most of the tools necessary to provide adequate tests for any project.Instant Hands-on Testing with PHPUnit How-to provides a thorough overview of the functionality provided by the PHPUnit framework. It shows how the plethora of features in the framework can be used to write tests for real world projects to ensure they function and will continue to function in the ways that you expect.This book will show how you can set up the scaffolding necessary to run unit tests in your project with PHPUnit. It will walk you through the process of how to write a basic test and how to maintain your project's test suite. You will learn how to use some of the more advanced features of PHPUnit and then see how you can use mock objects to isolate the code you are testing. We will then discover how to create tests that verify your interaction with databases and even see how you can use PHPUnit to understand which code you are actually testing.At the end of the book you will have all of the basic understanding necessary to begin adding tests to your project. This book provides a great foundation for becoming a expert at writing unit tests.

Direct3D Rendering Cookbook. For C# .NET developers this is the ultimate cookbook for Direct3D rendering in PC games. Covering all the latest innovations, it teaches everything from debugging to character animation, supported throughout by illustrations and sample code

Justin Stenning, Justin Stenning

C# and Algorithmic Thinking for the Complete Beginner. Unlock the Power of Programming with C# and Algorithmic Thinking

Aristides Bouras

This course takes you on a journey through the basics of C# programming and algorithmic thinking, tailored specifically for complete beginners. Starting with an understanding of how a computer works, you will explore integrated development environments, essential software packages, and basic algorithmic concepts.As you progress, you will delve deeper into key programming constructs such as variables, constants, input and output handling, operators, and control structures. The course emphasizes practical application, guiding you through exercises involving complex mathematical expressions, string manipulations, decision structures, and loop control structures. By the time you reach the advanced sections, you will have a comprehensive understanding of data structures, subprograms, and object-oriented programming.Designed to be engaging and informative, this course offers tips, tricks, and detailed explanations to help you master each concept. The use of Visual Studio Code is seamlessly integrated, providing you with hands-on experience in a real-world development environment. By the end of the course, you will be well-equipped to tackle more advanced programming challenges and continue your journey in the world of software development.

Windows Server 2012 Hyper-V Cookbook. To master the administration of Windows Server Hyper-V, this is the book you need. With over 50 useful recipes, plus handy tips and tricks, it helps you handle virtualization using best practice principles

Leandro Carvalho

Virtualization has proved that it can help organizations to reduce costs, and the Private Cloud has created a revolution in the way we manage and control our servers with centralization and elasticity. The new Windows Server 2012 Hyper-V release from Microsoft comes with a myriad of improvements in areas such as mobility, high availability and elasticity, bringing everything you need to create, manage and build the core components of a Microsoft Private Cloud for virtualized workloads.Windows Server 2012 Hyper-V Cookbook is the perfect accompaniment for Hyper-V administrators looking to take advantage of all the exciting new features the release has to offer. Through practical recipes, you'll master Hyper-V deployment, migration and management. Windows Server 2012 Hyper-V Cookbook is an essential resource for any Hyper-V administrator looking to migrate, install and manage their virtual machine efficiently. With all the features of Windows Server 2012 Hyper-V covered, you will learn everything from installation to disaster recovery, security, high availability, configuration, automation, architecture and monitoring, all in a practical recipe format. The book also includes new features such as Storage and Shared Nothing Live Migration, Hyper-V Replica and Network Virtualization and much more.With Windows Server 2012 Hyper-V Cookbook in hand, you'll be equipped to manage your Private Cloud with ease.

Time Series Analysis on AWS. Learn how to build forecasting models and detect anomalies in your time series data

Michaël Hoarau

Being a business analyst and data scientist, you have to use many algorithms and approaches to prepare, process, and build ML-based applications by leveraging time series data, but you face common problems, such as not knowing which algorithm to choose or how to combine and interpret them. Amazon Web Services (AWS) provides numerous services to help you build applications fueled by artificial intelligence (AI) capabilities. This book helps you get to grips with three AWS AI/ML-managed services to enable you to deliver your desired business outcomes.The book begins with Amazon Forecast, where you’ll discover how to use time series forecasting, leveraging sophisticated statistical and machine learning algorithms to deliver business outcomes accurately. You’ll then learn to use Amazon Lookout for Equipment to build multivariate time series anomaly detection models geared toward industrial equipment and understand how it provides valuable insights to reinforce teams focused on predictive maintenance and predictive quality use cases. In the last chapters, you’ll explore Amazon Lookout for Metrics, and automatically detect and diagnose outliers in your business and operational data.By the end of this AWS book, you’ll have understood how to use the three AWS AI services effectively to perform time series analysis.

Hands-On Computer Vision with TensorFlow 2. Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras

Benjamin Planche, Eliot Andres

Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. This book will help you explore TensorFlow 2, the brand new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks.Hands-On Computer Vision with TensorFlow 2 starts with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the book demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts.By the end of the book, you will have both the theoretical understanding and practical skills to solve advanced computer vision problems with TensorFlow 2.0.