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Here in this blog, you will know about the essential uses of statistics which you should know if you are one of the statistics students.

So without wasting time, let’s start Uses Of StatisticsThere are so many uses of statistics but here we tell about those ones that are the essential ones:Computer ScienceStatistics are critical to all branches of science because it is very useful in making decisions and assessing the validity of one's choices.The efficiency of the algorithm can be significantly improved using statistics in computer science and machine learning.With census uses, one can also reduce the cost of processing.It is impossible to know logical algorithms and find it difficult to design them if one does not understand the statistics.Retrieval, reporting, data acquisition/cleaning, and prospecting, are all areas that computer scientists should focus on.They are responsible for improving algorithms and increasing the efficiency of the system.Apart from that, they focus on machine learning, particularly data exploration (discovering models and relationships in information for several objectives, such as marketing and finance).Data ScienceThe data scientist examines the data obtained using a variety of statistical methods, including classification, hypotheses testing, regression, time series analysis and more.Using these statistical tools, data scientists conduct rigorous experiments and obtain the required results.Apart from that, statistics can be used to summarize information quickly and efficiently.As a result, statistics are one of the tools that data scientists may use to extract important outputs from the sample area.RoboticsIn the specialty of robots, statistics have a variety of applications.

In this area, many methods such as EM, particle filters, Kalman filters, Bayesian networks, etc.

can be used.By calculating the value of the probability density function, the robot is always aware of its current state.Robots constantly update themselves and prioritize current activities with the help of modern input sensors.Apart from that, robots may compare estimated and real values and work according to the latter.As a result, statistics can be said to be a key parameter used in robots.In robots, an example of how statistics are used.Sensors are used by interactive controllers to produce Android control.

Since the mid-1990s, a new method called probability robots has been used for this purpose.This method uses statistical principles and techniques to integrate defective models and sensing smoothly.AerospaceStatistics are one of the most important aspects of aeronautical engineering.Statistics can be easily integrated into a variety of methods, such as facts related to track shrinkage and growth rate.Statistics are also used to investigate traffic reduction and growth, the amount of accidents caused by flight failures, etc.Many airlines use these figures to see how they can work together to improve the future of the aviation industry.Deep LearningBoth statistics and probability are two ways to deal with data collection or ignorance.To draw a variety of valuable qualities and ignorance of detail, deep learning of statistics is used to learn them.As a result, statistics and possibilities are tools to formalize the process of learning deep mathematically.ConclusionNow you have seen all-important uses of statistics.

And we hope that you understood them clearly.

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And a lot of people sometimes get misguided by this , forgetting the original goal of Yoga , which is all about understand and connecting more with ‘me and myself’  for a  happier healthier life.

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‘Yoga’and  ‘Yogic Lifestyle’ have become popular  buzzwords  today with two extremes,-  some people either swearing by it or some others completely swerving away from it!

This word ‘Yuj’ has two meanings, -  union and meditation.

In a spiritual context ,‘Yuj’ as union refers to the yoking or meeting of the Jivatma with ParamatmaIn our day to day lives, this union is all about bringing a parity, unity and integration of our thoughts, speech and action for a happier healthier life.

Most of us are in a state of stress, anguish, restlessness or ill health mainly because we operate at different levels in our actions and what we do daily  at the mind, body and speech level.

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The semiconductor industry itself is witnessing high growth over rapid rise in hand held devices and also rising penetration of IT industry.

Other areas are Material science and Biological Industries where Ion beam technology is extensively used.

This process can be used on various kind of materials such as, paper, Wood, Metals, Polymers, Electronics, Composites, Biomaterials, Powders/Particles and Ceramics.

By application, the market has been categorized into six categories, which are structuring of MEMS, MRAM and sensors, metallic and dielectric multilayers, ion beam polishing, micro structuring, chemically assisted ion beam etching and delayering (failure analysis).

Innovations in microelectromechanical systems, photovoltaic solar cells, and semiconductor industry have spurred growth in thin film market.

Broad ion beam milling techniques are being widely used for re-shining samples for transmission electron microscope.The major downside of Broad ion beam technology market includes operational complications and disproportionate ion beam as it leads to a rapid wear of accelerator grid, increases the target impurity, and very little or no increase in the process rate.

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Enabling transformational benefits for businesses

The formative systems of AI were only competent in managing a narrow category of tasks. They could not scale well and often called for human intervention. However, continuous studies and progress in technology have led to the evolution of AI in tandem with IoT concept which has given rise to the much loosely used term now, Smart Machines. Leveraging the power and capability of AI, smart machines will simplify the tasks by performing them in minutes which otherwise would take weeks or even months to complete. These machines will radically transform the way most enterprises do business, bringing in an advanced level of comfort and convenience.

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The synthesis of the two concepts offers real value proposals in the form of smart sensors that seek to proffer real-time data and feedback to make these three significant analyses.

• Predictive: Predictive analysis helps to determine when a part of the machinery is most likely to experience a breakdown. Such analysis will help in averting the failure through preemptive intervention.

• Prescriptive: Prescriptive analysis offers immediate suggestions that can be instrumental in preventing any kind of disasters or botches.

• Adaptive/ autonomous: Constant data feeds from sensors can help the systems in taking frequent actions autonomously without any human involvement.