Homework

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Applications of algorithms for digital analysis

Questions

1.  An algorithm is a set of instructions designed to solve a problem
2. Algorithm can be time consuming to make. Algorithms are easy to understand because they are step by step representation on how to solve a problem.
3. Algorithms can be represented in pseudocode or plain english.
4. Language independent means you are not using any specific language 
5. One application of algorithms is in social media networks to give you personlised information.

Algorithms to support machine learning in Quantum Computers and Self Driving Cars

Quantum Computers can read data a square root faster then a conventional computer counterpart. This means that a quantum computer can process and algorithm exponentially faster then any normal computer. For example if you are training a Algorithm on machine data and it takes 30 minutes for the computer to learn and train on it a quantum computer could do that in 5 and half minutes. This is especially useful in large databases where before a system might have to got through every entry to find what the user is looking for, now it is a lot quicker. Quantum Computers can therefore utilize machine learning algorithms far better then any conventional computer.

In self driving cars algorithms are used to identify obstacles in front of the vehicle. For example if there is a person crossing the street, the censors on the vehicle will identify the person measure how close it is to the vehicle and slow done accordingly. Machine learning is used when identifying different objects so the car can tell the difference between a person and anything else. It also needs to identify road signs and lines on the road as not to put any other vehicles in danger while on the road.

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