Get started with Apache Flink, the open source framework that powers some of the worlds largest stream processing applications. With this practical book, youll explore the fundamental concepts of parallel stream processing and discover how this technology differs from traditional batch data processing.
Minimum quantity for "Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications" is 1.
Develop smart applications without spending days and weeks building machine-learning models. With this practical book, youll learn how to apply Automated Machine Learning, a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar Shah, and Wee Hyong Tok provide a mix of technical depth, hands-on examples, and case studies that show how customers are solving real-world problems with this technology.Building machine learning models is an iterative and time-consuming process. Even those who know how to create these models may be limited in how much they can explore. Once you complete this book, youll understand how to apply Automated Machine Learning to your data right away.
Minimum quantity for "Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions" is 1.
The way developers design, build, and run software has changed significantly with the evolution of microservices and containers. These modern architectures use new primitives that require a different set of practices than most developers, tech leads, and architects are accustomed to. With this focused guide, Bilgin Ibryam and Roland Huß from Red Hat provide common reusable elements, patterns, principles, and practices for designing and implementing cloud-native applications on Kubernetes.
Minimum quantity for "Kubernetes Patterns: Reusable Elements for Designing Cloud-Native Applications" is 1.
With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project.Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. Youll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics.
Minimum quantity for "Machine Learning Pocket Reference: Working with Structured Data in Python" is 1.
Artificial intelligence techniques are becoming a
fundamental component of business growth across a wide range of industries.
Enterprise technologies that automate and detect patterns can augment human
expertise, empowering both employees and applications to make richer, more
Complete with case studies, implementation examples, and
a survey of the current landscape, this book serves as an ideal starting point
for your journey into enterprise AI.
Minimum quantity for "Getting Started with Artificial Intelligence" is 1.
Learn how graph algorithms can help you leverage relationships within your data to develop intelligent solutions and enhance your machine learning models. With this practical guide, developers and data scientists will discover how graph analytics deliver value, whether theyre used for building dynamic network models or forecasting real-world behavior.Mark Needham and Amy Hodler from Neo4j explain how graph algorithms describe complex structures and reveal difficult-to-find patternsfrom finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. Youll walk through hands-on examples that show you how to use graph algorithms in Apache Spark and Neo4j, two of the most common choices for graph analytics.
Minimum quantity for "Graph Algorithms: Practical Examples in Apache Spark and Neo4j" is 1.
A hands-on introduction to Packer, the HashiCorp image builder. Packer helps engineers, developers, sysadmins, and operations staff build multi-platform images including support for Docker containers, virtual machines, and Cloud-based images for platforms like Amazon Web Services and Google Cloud. Packer allows you to build consistent images on Linux, Microsoft Windows, macOS and other operating systems. In the book, we'll teach you how to install, use and integrate Packer into your environment and work flow.
Minimum quantity for "The Packer Book" is 1.
Until recently, learning CoreDNS required reading the code or combing through the skimpy documentation on the website. No longer. With this practical book, developers and operators working with Docker or Linux containers will learn how to use this standard DNS server with Kubernetes.John Belamaric, senior staff software engineer at Google, and Cricket Liu, chief DNS architect at Infoblox, show you how to configure CoreDNS using real-world configuration examples to achieve specific purposes. Youll learn the basics of DNS, including how it functions as a location broker in container environments and how it ties into Kubernetes.
Minimum quantity for "Learning CoreDNS: Configuring DNS for Cloud Native Environments" is 1.
All Indian Reprints of O'Reilly are printed in Grayscale
Build your expertise in the BPF virtual machine in the Linux kernel with this practical guide for systems engineers. You'll not only dive into the BPF program lifecycle but also learn to write applications that observe and modify the kernel's behavior; inject code to monitor, trace, and securely observe events in the kernel; and more.Authors David Calavera and Lorenzo Fontana help you harness the power of BPF to make any computing system more observable. Familiarize yourself with the essential concepts you'll use on a day-to-day basis and augment your knowledge about performance optimization, networking, and security.
Minimum quantity for "Linux Observability with BPF: Advanced Programming for Performance Analysis and Networking" is 1.
Deep learning is changing everything. This machine-learning method has already surpassed traditional computer vision techniques, and the same is happening with NLP. If you're looking to bring deep learning into your domain, this practical book will bring you up to speed on key concepts using Facebook's PyTorch framework.Once author Ian Pointer helps you set up PyTorch on a cloud-based environment, you'll learn how use the framework to create neural architectures for performing operations on images, sound, text, and other types of data. By the end of the book, you'll be able to create neural networks and train them on multiple types of data.
Minimum quantity for "Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications" is 1.
You did it. You successfully transformed your application into a microservices architecture. But now that youre running services across different environmentspublic to public, private to public, virtual machine to containeryour cloud native software is beginning to encounter reliability issues.How do you stay on top of this ever-increasing complexity? With the Istio service mesh, youll be able to manage traffic, control access, monitor, report, get telemetry data, manage quota, trace, and more with resilience across your microservice.
Minimum quantity for "Istio: Up and Running:Using a Service Mesh to Connect, Secure, Control, and Observe" is 1.
Any programmer working with a dynamically
typed language will tell you how hard it is to scale to more lines of code and
more engineers. That’s why Facebook, Google, and Microsoft invented gradual
practical book shows you how one such type layer, TypeScript, is unique among
them: it makes programming fun with its powerful static type system.