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▶What You Will Learn - Implement credit card fraud detection with autoencoders - Train neural networks to perform handwritten digit recognition using MXNet - Reconstruct images using variational autoencoders - Explore the applications of autoencoder

▶What You Will Learn - Get to grips with docker fundamentals and how to dockerize an application for the CD process - Learn how to use Jenkins on the Cloud environments - Scale a pool of Docker servers using Kubernetes - Create multi-container applic

▶Book Description Caffe2 is a popular deep learning library used for fast and scalable training and inference of deep learning models on various platforms. This book introduces you to the Caffe2 framework and shows how you can leverage its power to b

▶Book Description Although numerous languages are currently being used to develop games, C++ remains the standard for fabricating expert libraries and tool chains for game development. This book introduces you to the world of game development with C+

▶Book Description Azure DevOps Server, previously known as Team Foundation Server (TFS), is a comprehensive on-premise DevOps toolset with a rich ecosystem of open source plugins. This book is your one stop guide to learn how to effectively use all o

▶Book Description Amazon has recently come up a with specialty certifications which validates a particular user's expertise that he/she would want to build a career in. Since the Cloud market now demands of AWS networking skills this becomes the most

▶Book Description Associations and correlations are ways of describing how a pair of variables change together as a result of their connection. By knowing the various available techniques, you can easily and accurately discover and visualize the rela

▶Book Description R provides excellent visualization features that are essential for exploring data before using it in automated learning. Applied Supervised Learning with R helps you cover the complete process of employing R to develop applications

▶What You Will Learn - Learn the red, green, refactor cycle of classic TDD and practice the best habits such as the rule of 3, triangulation, object calisthenics, and more - Refactor using parallel change and improve legacy code with characterization

▶What You Will Learn - Develop a joke recommendation engine to recommend jokes that match users’ tastes - Build autoencoders for credit card fraud detection - Work with image recognition and convolutional neural networks - Make predictions for casino

▶What You Will Learn - Understand why decentralized applications are important - Discover the mechanisms behind bitcoin and alternative cryptocurrencies - Master how cryptography is used to secure data with the help of examples - Maintain, monitor, a