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Finding a dream job could be one of the hardest thing one has to face in his life, but if you play it safe things can be easy while searching for a job. CrediBLL is a leading job search marketplace offering best paid jobs in field of information and technology.

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In today's ecosystem, most of the businesses are upgrading themselves with automated solutions and making this process more effective and accurate most of the service providers collect an enormous amount of data from an individual. In today's technological world, it's not so easy to collect every bit of data, rather than collecting all the data it is essential to gain useful insights from large data sets, and that's the main reason big data and data analytics is hyped so much in the current scenario. Hence, the demand for big data engineers and data analytic experts have raised in global corporations in the past few years.

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Machine Learning is commonly known as a subset of Artificial Intelligence that empowers a computer system to learn on its own, to perform tasks for which they haven’t been programmed. Machine Learning refers to computer algorithms that take in a vast amount of data and then extract patterns from that data and turn that into a piece of useful information that turns out in the form of actions. It is now implemented in a large number of industries to improve work efficiency and to offer new opportunities.

Whenever you see an advertisement on your computer system or mobile device that matches your interests, it is merely an example of machine learning. Whenever you visit an eCommerce website you find products on top that matches your interests; it’s the magic of a machine learning algorithm that’s working behind the scenes. There are several examples in our daily life where machine learning is working backstage to enhance and ease up our lives.

There is no doubt that technology has already gained a lot of traction in our lives and new technologies are widely adopted around the world. This tech revolution is creating tons of machine learning jobs for software engineers and data scientists. Machine learning scientists in Los Angeles or Bay Area that work full time or part-time may earn up to $100k yearly. These salary figures are approximations, and the numbers could be much higher considering different factors that influence salary.

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Augmented Reality and Virtual Reality, commonly known as AR/VR, has gained much traction in the past few years. One must not underestimate the potential of AR/VR; experts believe that it can change our lives to the extent that’s way more than what a smartphone has done.

At first software developers used these technologies for gaming development but now AR/VR has its reach to wearable, education, health care, retail, and many other industries. Augmented and Virtual reality has contributed towards some of the fascinating advancements in the modern technological space.

Here is an example for you to have a better understanding of virtual and augmented reality. In virtual reality, a user relies on some wearable’s like helmet or goggles to interact with the virtual world. While augmented reality offers a virtual experience that incorporates itself with the real-world to enhance all that we see, hear, and feel.

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Augmented Reality and Virtual Reality, commonly known as AR/VR, has gained much traction in the past few years. One must not underestimate the potential of AR/VR; experts believe that it can change our lives to the extent that’s way more than what a smartphone has done.

At first software developers used these technologies for gaming development but now AR/VR has its reach to wearable, education, health care, retail, and many other industries. Augmented and Virtual reality has contributed towards some of the fascinating advancements in the modern technological space.

Here is an example for you to have a better understanding of virtual and augmented reality. In virtual reality, a user relies on some wearable’s like helmet or goggles to interact with the virtual world. While augmented reality offers a virtual experience that incorporates itself with the real-world to enhance all that we see, hear, and feel.

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Full-stack development is the most hyped domain in the field of computer programming. Most of us are aware of the fact that a full-stack developer is someone who does coding for the front end, back end, or maybe both. A full-stack developer is an IT engineer who can design and develop databases and servers. A full-stack developer is supposed to handle all the work related to system engineering and sometimes the clients too. Depending on the project requirements, for most of the full stack jobs, one may need to develop a mobile stack, a web stack, or a native application stack. Full-stack refers to a collection of a series of different technologies that are required to complete a particular project; different projects may require a unique set of technologies for maximum throughput. In the term Full Stack, stack refers to a collection of sub-modules that are required to complete the project. Later on, these modules or subsets are combined to achieve the required output.

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Data analysis is one of the fastest-growing fields and no doubt the growing tech talent is always seeking high paying big data analytics jobs.

The best possible way to find data analytics talent is via a website that provides a curated showcase of elite professionals to employers. A great example of that kind of service provider is CrediBLL.

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6 Big Data Tools that are must for every Data Engineer