Ssekidde  Nat

Ssekidde Nat

1621617600

The fastest way to get started with Microsoft Azure

Microsoft Azure is multiplying and updating very frequently with several new services. You can see releases of new Azure services very often. Old Azure services are getting updated with new features. And, many services are moving from public preview to general availability, and there are a lot more. Sometimes, this information is overwhelming when you are just getting started with Azure. You can follow some of these excellent learning resources to keep up to date with what’s new on Azure Services. In addition, Here are some of the superb code sample material. However, to get started very quickly, you can begin from Azure Portal Itself. This is the fastest way to get started with Azure.

The fastest way to get started with Microsoft Azure

The Azure Quickstart Center brings together all the quick start projects as part of services, setup guides, and corresponding Online courses. Azure Quickstart Center is available with Azure Portal for a long. Many times we overlook such great resources to start Azure Journey.

Firstly, You can Launch the Quick Start Center, from the start screen. If you don’t see it there, Search for “Quickstart Center” and mark it as the **favorite **for quick access.

#azure #azure portal #microsoft azure

What is GEEK

Buddha Community

The fastest way to get started with Microsoft Azure
Ssekidde  Nat

Ssekidde Nat

1621617600

The fastest way to get started with Microsoft Azure

Microsoft Azure is multiplying and updating very frequently with several new services. You can see releases of new Azure services very often. Old Azure services are getting updated with new features. And, many services are moving from public preview to general availability, and there are a lot more. Sometimes, this information is overwhelming when you are just getting started with Azure. You can follow some of these excellent learning resources to keep up to date with what’s new on Azure Services. In addition, Here are some of the superb code sample material. However, to get started very quickly, you can begin from Azure Portal Itself. This is the fastest way to get started with Azure.

The fastest way to get started with Microsoft Azure

The Azure Quickstart Center brings together all the quick start projects as part of services, setup guides, and corresponding Online courses. Azure Quickstart Center is available with Azure Portal for a long. Many times we overlook such great resources to start Azure Journey.

Firstly, You can Launch the Quick Start Center, from the start screen. If you don’t see it there, Search for “Quickstart Center” and mark it as the **favorite **for quick access.

#azure #azure portal #microsoft azure

Ron  Cartwright

Ron Cartwright

1600624800

Getting Started With Azure Event Grid Viewer

In the last article, we had a look at how to start with Azure DevOps: Getting Started With Audit Streaming With Event Grid

In the article, we will go to the next step to create a subscription and use webhook event handlers to view those logs in our Azure web application.

#cloud #tutorial #azure #event driven architecture #realtime #signalr #webhook #azure web services #azure event grid #azure #azure event grid #serverless architecture #application integration

Aisu  Joesph

Aisu Joesph

1624327316

Securing Microsoft Active Directory

Clustering

K-means is one of the simplest unsupervised machine learning algorithms that solve the well-known data clustering problem. Clustering is one of the most common data analysis tasks used to get an intuition about data structure. It is defined as finding the subgroups in the data such that each data points in different clusters are very different. We are trying to find the homogeneous subgroups within the data. Each group’s data points are similarly based on similarity metrics like a Euclidean-based distance or correlation-based distance.

The algorithm can do clustering analysis based on features or samples. We try to find the subcategory of sampling based on attributes or try to find the subcategory of parts based on samples. The practical applications of such a procedure are many: the best use of clustering in amazon and Netflix recommended system, given a medical image of a group of cells, a clustering algorithm could aid in identifying the centers of the cells; looking at the GPS data of a user’s mobile device, their more frequently visited locations within a certain radius can be revealed; for any set of unlabeled observations, clustering helps establish the existence of some structure of data that might indicate that the data is separable.

What is K-Means Clustering?

K-means the clustering algorithm whose primary goal is to group similar elements or data points into a cluster.

K in k-means represents the number of clusters.

A cluster refers to a collection of data points aggregated together because of certain similarities.

K-means clustering is an iterative algorithm that starts with k random numbers used as mean values to define clusters. Data points belong to the group represented by the mean value to which they are closest. This mean value co-ordinates called the centroid.

Iteratively, the mean value of each cluster’s data points is computed, and the new mean values are used to restart the process till the mean stops changing. The disadvantage of k-means is that it a local search procedure and could miss global patterns.

The k initial centroids can be randomly selected. Another approach of determining k is to compute the entire dataset’s mean and add _k _random co-ordinates to it to make k initial points. Another method is to determine the principal component of the data and divide it into _k _equal partitions. The mean of each section can be used as initial centroids.

#ad #microsoft #microsoft-azure #azure #azure-functions #azure-security

What is Microsoft Azure?

It’s one of the leaders in the cloud computing space, but what is Azure cloud and what is it used for? This ACG Fundamentals episode will give you a high-level overview of Microsoft Azure cloud, so you can understand this cloud computing platform’s strengths and weaknesses, use cases, market share and competition, and how the Azure services all work together.

Introduction (0:00)
Azure Infrastructure (1:07)
Azure Competitors (3:43)
Azure Strengths and Weaknesses (4:18)
Azure Use Cases (6:12)
What’s Next? (7:39)

#microsoft azure #azure #what is microsoft azure?

Why Do You Need to Get Microsoft Certified: Azure AI Engineer Associate Certification?

AI has been a revolutionary technology in the Tech world. The demand for artificial intelligence-related professions is increasing at an incredibly rapid rate. Similarly, the demand for an Azure AI Engineer is on buzz and at an all-time high. Many other AI-concerned accreditations could also be good alternatives for IT professionals. But, MS Azure assures a rapidly growing Artificial Intelligence landscape with innovative service offerings and advanced technologies. Hence, the demand for Microsoft Azure AI Engineer Associate Certification has increased to a large extent over the past few decades.

The future platform of the IT accreditation, AZURE AI mainly assists you to scrutinize AI services which count bots, agents, language, vision, speech, by adopting knowledge mining, cognitive services, and machine learning. AI solutions are required to satisfy scalability and performance to meet end-to-end solutions, for that we need to have advanced technologies and tools for analyzing and recording timely operation.

#microsoft #azure #microsoft-azure #certification-courses #certification #ai