Takeaway: Learn everything you need to know before applying this cloud computing platform to your business.
Since its first launch in February 2010, Microsoft’s proprietary cloud computing solution Azure has quickly established itself as one of the top players of the world of cloud platforms. Today, it has significantly evolved to provide a host of different services leveraging Microsoft technologies that include virtual machines hosting Windows operating systems, deployment of apps with clients running on different systems, and much more.
Many organizations today need the flexibility of a scalable solution that can provide computing resources, object storage and virtual machines without having to face the unsurmountable costs of running a data center. Microsoft Azure is the answer to these issues, and much more, and now it’s time to learn more about it.
In this article we’ll have a quick overview of what you need to know about Azure before applying it to your organization. However, if you want to take a deep dive into the world of Azure and learn directly from experts and professionals to achieve success, don’t forget that the ESPC20 Online virtual conference is coming soon. Learn all you need keep up – and get ahead!
#azure #cloud #developer #web-development
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.
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.
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Bitcoin Cash was created as a result of a hard fork in the Bitcoin network. The Bitcoin Cash network supports a larger block size than Bitcoin (currently 32mb as opposed to Bitcoin’s 1mb).
Later on, Bitcoin Cash forked into Bitcoin SV due to differences in how to carry on its developments.
That’s Bitcoin Cash in a nutshell. If you want a more detailed review watch the complete video. Here’s what I’ll cover:
0:50 - Bitcoin forks
2:06 - Bitcoin’s block size debate
3:35 - Big blocks camp
4:26 - Small blocks camp
5:16 - Small blocks vs. big blocks arguments
7:05 - How decisions are made in the Bitcoin network
10:14 - Block size debate resolution
11:06 - Bitcoin cash intro
11:28 - BTC vs. BCH
12:13 - Bitcoin Cash (ABC) vs. Bitcoin SV
13:09 - Conclusion
📺 The video in this post was made by 99Bitcoins
The origin of the article: https://www.youtube.com/watch?v=ONhbb4YVRLM
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
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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.
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?
It is the last published and comprehensive service in Microsoft’s Azure Analytics services.
With these features, it is promoted as a New Generation Data Analytics platform.
So, why was this service created?
According to the researches, Analytics and Artificial Intelligence (AI) is one of the leading investment areas in every sector. We all say we are going digital and we talk about the importance of investing in these tools. However, when we look at the facts, unfortunately, most of the companies cannot use data effectively yet. But, the integration of data becomes very important in **Reporting, Machine Learning **and AI projects.
#azure-synapse #azure-synapse-analytics #microsoft #azure
Hello guys, if you want to learn about the Microsoft Azure Cloud Platform in-depth and looking for the best online training courses then you have come to the right place. In the past, I have shared the best courses to prepare for Azure Fundamentals, Azure Administrator, and Azure Architect certifications, and today I am going to share the best online course to learn Azure platform for Beginners.
You can use these courses to not only learn Microsoft Azure core services but also to prepare for different Microsoft Azure certifications like AZ-900, AZ-300, and AZ-200 or Azure developer associate certification.
Microsoft Azure, is a cloud computing service created by Microsoft meant for building, testing, deploying, and managing applications and services through Microsoft-managed data centers.
It provides software, platform, and infrastructure as a service and supports many programming languages, tools, and frameworks, including both Microsoft-specific and third-party software and systems.
This makes it a very good platform because of its flexibility. You can have different projects in the same interface so you don’t have to be changing or learning the peculiarities of every different platform. So if you have different projects or you work with different programming languages is a good option to optimize your time and resources.
Also, demand for Azure certified developers, administrators, and cloud architect is increasing exponentially as more and more companies are using Azure for their migrating their on-premise software and application. This means it’s the best time to learn Azure and boost your career profile.
At the same time, Microsoft Azure is a huge collection of services for building applications in the cloud and can often be overwhelming.
That’s why choosing the best online training courses is crucial and that’s where this article will help you. here you will find the best Azure Cloud Computing courses from sites like Udemy, Coursera, Pluralsight, and edX which is developed by experts and trusted by thousands of people like you.
#microsoft-azure #azure #devops #microsoft