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2.1 What is the difference between labelled and …

WebSo now we can define two very important things, labeled and unlabeled data. Labeled data: Data that comes with a label. Unlabeled data: Data that comes without a label. Figure …

Actived: 9 days ago

URL: https://livebook.manning.com/book/grokking-machine-learning/2-1-what-is-the-difference-between-labelled-and-unlabelled-data-/v-4/

Chapter 1. The Core of CORS · CORS in Action: Creating …

WebThe server uses this header to indicate that cross-origin requests are allowed. The Access-Control-Allow-Origin header must always be present on a CORS response, but it’s just …

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liveBook · Manning

WebFigure 8.3 Containers with a health check show the health status of the app and the health check logs. The health check is doing what it should: testing the application inside the …

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11 Logging and health checks · ASP.NET Core Security

WebASP.NET Core health checks provide a mechanism to verify the “health” of an application. HTTP endpoints return the application’s health status. A third-party …

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Chapter 7. Taking a peek inside with the Actuator

WebThe Actuator’s features are provided by way of several REST endpoints, a remote shell, and Java Management Extensions (JMX). We’ll start by looking at the Actuator’s REST …

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Chapter 3. Exploring data · Practical Data Science with R

WebThis chapter covers. Using summary statistics to explore data. Exploring data using visualization. Finding problems and issues during data exploration. In the last two …

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4 Automated operations · Kubernetes for Developers

WebstartServer() #1 The “last ready” time is initialized at the current time to allow for 5 minutes after startup. #2 If 5 minutes have passed since the last successful readiness result (or …

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Chapter 21. Performance and health checklist · Learn …

WebIn this chapter, I’ll give you a checklist of performance and health items that may come in handy when you’re blindsided with a vague complaint about the network being slow.

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Chapter 1. Exploring data · Exploring Data Science

WebIn this chapter, we’ll demonstrate some ways to get to know your data, and discuss some of the potential issues that you’re looking for as you explore. Data exploration uses a …

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Chapter 17. Making sure clients are healthy · Learn …

WebBack in the days of Configuration Manager 2007, many admins made heavy use of so-called health-check collections. These were device collections that reported on different …

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Part 3. Case study 3: Tracking disease outbreaks using news

WebCongratulations! You have just been hired by the American Institute of Health. The Institute monitors disease epidemics in both foreign and domestic lands.

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Chapter 1. Functional domain modeling: an introduction

WebThe idea is to make you comfortable with the basic concepts so that at the end of this chapter you’ll be able to refine your domain-modeling techniques in terms of both …

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Chapter 10. Monitoring: Houston, we have a problem

WebBasics of writing Nagios health checks · Using both AMQP and the REST API to monitor Rabbit internals · Verifying that Rabbit is available and responding · Watching queue …

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Chapter 6. Using NoSQL to manage big data · Making Sense of …

Web6.7.1. MapReduce and distributed filesystems. One of the strengths of a Hadoop system is that it’s designed to work directly with a filesystem that supports big data problems. As …

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Chapter 14. Protocols and profiles using OAuth 2.0

WebUser Managed Access (UMA), a protocol built on top of OAuth 2.0 for dynamic consent and policy management · Health Relationship Trust (HEART), a profile of OAuth 2.0, OpenID …

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Chapter 9. Controlling Rabbit with the REST API

WebUp to this point, you’ve been limited in your ability to configure RabbitMQ servers from apps or scripts. Sure, you could write code that runs rabbitmqctl and then tries to “scrape” the …

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10 Cloud-native application patterns · Quarkus in Action

WebMicroProfile is a set of specifications for building cloud-native applications in Java. MicroProfile Health provides a way to expose health checks for applications over HTTP …

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Part 3. Case Study 3: Tracking Disease Outbreaks Using News

WebClustering data by centrality. · Clustering data by density. · Trade-offs between clustering algorithms. · Executing clustering using the Scikit-Learn Library. · Iterating over clusters …

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