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A Mapping Of Cloud Computing And Deployment Models

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  One of the  most promising technology trends  of today is cloud computing, and in order to maximize the advantages of cloud computing, it’s important to understand the various deployment models available. The public cloud model is one of the more popular forms, and understanding its capabilities can help you determine if it’s right for your needs. The public cloud model is a form of  cloud computing  in which all users use a shared set of resources delivered over the internet. It utilizes multi tenancy, meaning organizations must share physical and virtual resources with multiple tenants who are using the same infrastructure. As a result, it offers users access to a wide range of technologies that are not otherwise available to them. In addition to providing access to these technologies, the public cloud model also provides many other benefits. With rapid provisioning and self-service capabilities, businesses can quickly scale their computing power up or down ...

What is the Fibonacci Sequence?

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  The  Fibonacci sequence  is a series of numbers that follows a specific pattern. It starts with 0 and 1, and then each subsequent number is the sum of the two numbers before it. The sequence is well known among mathematicians and other scientists due to its many applications in various fields. It can also appear in nature as well, appearing in growth patterns such as the arrangement of leaves on a branch or the spirals of a nautilus shell. In this blog post, we’ll explore some of the more interesting examples of how the Fibonacci sequence can be used. To help you understand how this series works, we’ll start with an example: 0, 1, 1, 2, 3, 5, 8, 13…and so on. Each successive number is simply the sum of the two preceding ones (0+1=1; 1+1=2; 1+2=3; 2+3=5). One practical use for the Fibonacci sequence can be seen in currency trading. Many traders will use this sequence to track levels at which they should buy or sell currencies. By understanding Fibonacci's retracement lev...

Top Trending Cyber Security Books for Begineers

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  If you’re a beginner looking for the best cyber security books to get you up to speed on the latest threats, exploits and network security secrets, then look no further than “Hacking Exposed Network Security Secrets and Solutions.” This book is a must-read for anyone looking to understand the fundamentals of cyber security and gain an understanding of the best solutions that can protect their systems from potential attack. This book starts off by introducing readers to the various cyber security threats that are out there and takes a deep dive into network security – discussing exploits, prevention and detection methods, as well as risk management strategies. It then moves on to discuss encryption technologies, authentication, firewalls and other forms of network protection. Of course, the book also covers essential topics such as incident response planning, IT forensics and legal considerations. The authors provide step-by-step instructions throughout the book so that readers ca...

Evolution of Data Science: Growth & Innovation

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  Data science  is an expansive field which has rapidly grown over the past several decades. With the development of technologies such as analytics and machine learning, data science has become increasingly important to modern applications all around the world. From medical research to market analysis, having access to powerful data processing tools and insights can make a world of difference in any given industry. When talking about data science, it’s useful to take a look at its history. Although data science began in ancient times, it was officially coined in 1989 by American computer scientist and statistician William Seltzer. Since then, it has evolved into the use of advanced statistics, predictive modelling, computer programming, and other innovative techniques today. Nowadays, modern applications of data science have enabled businesses everywhere to better understand their customers and target them more effectively with their marketing efforts. Data-driven analytics pl...

The Ultimate Guide - Salary of AI Engineer

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  The Ultimate Guide - Salary of AI Engineer , If you're considering a career in AI engineering, you're probably wondering how much you can expect to earn. In India, the average salary for an AI engineer is INR 1,457,293 per year. Of course, your actual salary will depend on a number of factors, including your experience, skillset, and location. But if you're looking to work as an AI engineer in India, this is a good starting point to give you an idea of what you can expect to earn. You can also read: Coursera Full Stack web Development Review | Analytic Jobs Review Edureka Full Stack Developer Internship Review | Analytics Jobs Review

Which is the fastest supercomputer in India?

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  Did you know that India has the fastest supercomputer in the world? That's right  the Param Yuva II is the fastest supercomputer in India, and it's located at the Indian Institute of Science in Bengaluru. The Param Yuva II is a high performance computing system that was developed by CDAC (Centre for Development of Advanced Computing). It has a peak speed of 20 teraflops (trillion floating point operations per second) and a theoretical maximum speed of 40 teraflops. The Param Yuva II is used for a variety of applications, including weather forecasting, climate modelling, earthquake simulation, and atomic energy research. The Param Yuva II is not only the fastest supercomputer in India  it's also one of the top 10 fastest supercomputers in the world. In fact, it's ranked #9 on the TOP500 list of the world's fastest supercomputers. So what makes the Param Yuva II so fast? Well, it has a number of features that make it one of the most powerful supercomputers in the wo...

Face Recognition using Machine Learning

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A Machine Learning system predicts from historical data, builds the prediction models, and whenever it receives new data, predicts the output for it. The accuracy in expected production depends upon the amount of data, as the massive amount of data helped to build a better model which predicts the output more accurately. Applications of machine learning Image recognition is one of the most popular applications of machine learning. It is used to identify objects, places, persons, digital images, etc. For these images, the measurement narrates the output of every pixel in a snap. Face recognition is also one of the best characteristics that have been advanced by machine learning only. It helps to acknowledge the face and send notifications related to that to people. You can also read: Fibonacci Series – All you need to Know | 10 Best Examples | Analytics Jobs Blogs   The famous use case of face detection and image recognition is, Involuntary friend tagging suggestion: Fac...