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Ethical hacking gives a diligent knowledge about cybersecurity threats. Ethical Hacking also called penetration testing is an act of entering the system of networks to find out vulnerabilities in order to assess the security of the target system. Ethical Hacking can learn effectively for one who has basic knowledge of IT and Networking.

Ethical Hackers are hired in many IT and business organizations in a variety of job roles including security professionals, system professionals, network defender, risk management, system specialists and also as a quality assurance tester who can assess their vulnerabilities and test their weakness.

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Cloud computing has always been the backbone of every important regulatory and continuous development in the IT sector since digital transformation began. In the last two centuries, a tale of development, profitability and more impactful alternatives has been nicely recited. The growth may be exquisite and organically woven into company goods and facilities that are extremely effective.

Cloud computing is screened against a tendency for Desktop as a Service (Daas) that performs a utility mesh with mature alternatives in all major virgin innovations. It will be yet another interesting experiment for cloud computing and a success for better company and technology opportunities.

Like Azure and AWS, the significance of hybrid storage alternatives in today's innovation company has been made known to the globe. AWS has established the pattern for small retail cloud services that help businesses become much less profitable.

[prajithpu-blog1]

Ethical hacking gives a diligent knowledge about cybersecurity threats. Ethical Hacking also called penetration testing is an act of entering the system of networks to find out vulnerabilities in order to assess the security of the target system. Ethical Hacking can learn effectively for one who has basic knowledge of IT and Networking.

Ethical Hackers are hired in many IT and business organizations in a variety of job roles including security professionals, system professionals, network defender, risk management, system specialists and also as a quality assurance tester who can assess their vulnerabilities and test their weakness.

[prajithpu-blog1]

Python is a commonly used high-level programming language for programming for general purposes. Python uses English keywords where other languages tend to use punctuation marks. It was meant to be a extremely readable language with a visual design uncluttered. To date, it has remained true to this philosophy.

Python is portable, strong, available and free. It continues a very common language-oriented object. The use of Python fun was one of its developers ' most significant objectives.

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Cloud computing is still a growing idea in the world of IT. It has changed the way we live. Many of us have not yet understood the influence of cloud computing in our daily life. Through this article, we at Livewire Thrissur will help you understand the importance of cloud computing and the need for a cloud computing certification training course.

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With the coming of so many new technologies in this era, it is easy to miss out on machine learning. But slowly, and silently, it has become pivotal behind in recent years. With a mix of data science and artificial intelligence, it is present in every other industry. We, at Livewire Thrissur, will help you to understand the importance of learning machine learning course and a certification training course on it.

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In simple terms, cloud computing is the technology in which various services are provided to users via the internet. It is much faster, efficient and productive than the traditional way. The users need to pay only for the services used and hence reduces the operational cost in a big way.

There are many benefits to it, such as:

Cost

Productivity

Security

Speed

Performance

Global scale

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An embedded system is a combination of both software and hardware, fixed in capability or programmable, designed for specific functions within a larger system. Embedded systems provides a real-time output on the basis of various characteristics of the system. Embedded system is a way of working, organizing, performing single or multiple tasks according to a set of rules. In embedded systems, all units assemble and work together according to the program assigned to it.

The important characteristics of an embedded system are speed, size, power, reliability, accuracy, adaptability. When embedded systems operate at high speed it can be used for real-time applications. If the size and power consumption of the system is very low, then the system can be easily adaptable for different situations. The failure of the proper working of an embedded system can have serious consequences including the loss of life, and thus reliability and precision are vital.

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The basic concept of Machine Learning has been in existence since long before. But it has only been in recent years scientists were able to let a computer system gain insights from data by iteratively searching for valuable information.

Tom Mitchell gave an informative and accurate definition way back in 1997. He said “A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E.

Machine Learning is one of the hottest keywords in the field of Technology and for good reason. But what is the reason behind it? What makes machine learning unique?

Let’s try to understand Machine Learning in layman terms. Consider you are bowling in cricket for the first time.

After the first attempt, you realize that you have applied way too much force than needed as the bowl passed over the stumps. After the second attempt, you realize you are closer to target but you need to increase your throw angle. From this, we can understand that with each try we try to better ourselves and try to reach the desired result. We function this way all the time. With each try, we learn something and finally come to the conclusion of what needs to be done, to get the desired output. The same process holds true to make machines predict the future.