This book delivers practical knowledge to make the most of the opportunities offered by machine learning. Authors Dino and Francesco Esposito start with a quick overview of the foundations of artificial intelligence and the basic steps of any machine learning project. Next, they introduce Microsoft’s ML.NET library, including capabilities for data processing, training, and evaluation. They present families of algorithms that can be trained to solve real-life problems, as well as deep learning techniques utilizing neural networks and conclude by introducing runtime services available through the Azure cloud platform and consider the long-term business vision for machine learning.

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This book shows how to create web pages that employ the power of JavaScript to provide functionality. Author Mike McGrath assumes no previous knowledge of any scripting language. By the end of the book readers should have gained a sound understanding of JavaScript and be able to add dynamic scripts to their own web pages

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Beginning with an introduction to AI, machine learning, deep learning, NLP, and reinforcement learning, Oswald Campesato  covers machine learning classifiers such as logistic regression, k-NN, decision trees, random forests, and SVMs. The book also covers deep learning architectures such as CNNs, RNNs, LSTMs, and auto encoders. Keras-based code samples are included to supplement the theoretical discussion and has appendices for Keras, TensorFlow 2, and Pandas.

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Written by the main authors of the TensorFlow library, Shanqing Cai, Stan Bileschi and Eric Nielsen, this book, subtitled "Neural networks in TensorFlow.js" shows what the library might be used for along with in-depth instruction for deep learning apps in JavaScript. The authors show how to use TensorFlow.js to build deep learning models that run directly in the browser. Examples featuring text analysis, speech processing, image recognition, and self-learning game AI, are used to illustrate the basics of deep learning along with more advanced concepts, like retraining existing models for transfer learning and image generation.

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This book shows how to get hands-on with various tasks, covering fundamental as well as complex C programming concepts for making real-life applications. Author B. M. Harwani starts with recipes for arrays, strings, user-defined functions, and pre-processing directives. The book then moves on to learning pointers, file handling, concurrency, networking, and inter-process communication (IPC).

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This best-selling guide will get you up and running with SQL. Author Chris Fehily introduces general concepts, practical answers, and clear explanations of what the various SQL statements can do. Formatted SQL code listings help you see the elements and structure of the language.

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Subtitled "Building Cloud Native Applications with Go and Java for Docker and Kubernetes", this book shows how the gRPC interprocess communication protocol is capable of connecting polyglot services in microservices architecture, while providing a rich framework for defining service contracts and data types. Authors Kasun Indrasiri and Danesh Kuruppu discuss the importance of gRPC in the context of microservices development complete with hands-on examples written in Go, Java, Node, and Python and cover essential techniques and best practices to use gRPC in production systems.

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This book, subtitled "An Abstract Interpretation Perspective", offers a self-contained introduction to static analysis, covering the basics of both theoretical foundations and practical considerations in the use of static analysis tools. Authors Xavier Rival and Kwangkeun Yi offer a quick and comprehensive introduction for nonspecialists.The text covers the mathematical foundations of static analysis, including semantics, semantic abstraction, and computation of program invariants. It also covers more advanced notions and techniques, including techniques for enhancing the cost-accuracy balance of analysis and abstractions for advanced programming features.

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Subtitled "Write Lean, High-Performance Code without the JVM", this book shows how to carry out bare-metal systems programming with Scala Native, an ahead-of-time Scala compiler. Author Richard Whaling uses a series of projects to introduce the fundamental and powerful techniques of systems programming, one by one. The book starts from the foundations of systems programming, including pointers, arrays, strings, and memory management. Projects include using the UNIX socket API to write network client and server programs without the sort of frameworks higher-level languages rely on, and designing and implementing a modern, asynchronous microservice-style HTTP framework from scratch.

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This book, subtitled "Toward Speed, Scalability, and Standardization for SQL Server Developers" shows how to write T-SQL that performs fast and is easy to maintain. Author Elizabeth Noble also shows how to implement version control, testing, and deployment strategies. Hands-on examples show modern T-SQL practices and provide straightforward explanations. Attention is given to selecting the right data types and objects when designing T-SQL solutions.

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This updated edition of a guide to Python networking has been updated to cover Python 3 and including the latest on network data analysis, Cloud Networking, Ansible 2.8, and new libraries. Author Eric Chou shows how to use Python to interact with both legacy and API-enabled network devices. The books includes how to use high-level Python packages and frameworks to perform network automation tasks, monitoring, management, and enhanced network security followed by Azure and AWS Cloud networking. It ends with a look at using Jenkins for continuous integration as well as network testing tools.

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This richly illustrated book that covers R, plotly, and shiny focuses on the process of programming interactive web graphics for multidimensional data analysis. Carson Sievert writes for the data analyst who wants to leverage the capabilities of interactive web graphics without having to learn web programming. Many R code examples illustrate how to tap the extensive functionality of these tools to enhance the presentation and exploration of data, and how to use these concepts and tools to generate more informative, engaging, and reproducible interactive graphics using free and open source software.

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