Artificial Intelligence And The Smart System Of Algorithm
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I know that you have heard of the algorithm before, but when it is associated with artificial intelligence is another factor. There is a massive effect when these two terms are combined together.
In mathematics and computer science, an algorithm is a set of instructions, typically to solve a class of problems or perform a computation. Algorithms are unambiguous specifications for performing calculation, data processing, automated reasoning, and other tasks.
If you will define algorithm it the simplest form, it is the "step by step" procedure. An instruction to be followed to achieve the results that you are aiming to get.
On the mathematical term, it is all about the calculations to get the final answer to a certain problem. You can also solve the problem if you follow the step by step procedure.
Algorithm - Artificial Intelligence And The Smart System Of Algorithm - Image credit via Alphr
As an effective method, an algorithm can be expressed within a finite amount of space and time and in a well-defined formal language for calculating a function. Starting from an initial state and initial input (perhaps empty), the instructions describe a computation that, when executed, proceeds through a finite number of well-defined successive states, eventually producing "output" and terminating at a final ending state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as randomized algorithms, incorporate random input.
When you include algorithms into the computer, that is when you will need to use artificial intelligence to give better reasoning and make the system smart.
The Algorithm, AI and Its Use
Artificial Intelligence - algorithms - Artificial Intelligence And The Smart System Of Algorithm - Image credit via Institute of Defense Analytics and Studies
How does the Algorithm and Artificial Intelligence benefit from each other? How can Artificial Intelligence and the smart system of algorithm affect our daily lives?
As technology evolves, so does the use of artificial intelligence through machine learning and data collection that affects the procedure that the algorithm used.
The concept of algorithm has existed for centuries. Greek mathematicians used algorithms in the sieve of Eratosthenes for finding prime numbers, and the Euclidean algorithm for finding the greatest common divisor of two numbers.
The algorithm is not bad nor good. It is a tool that is made to simplify the needs and works of the human mind. As it is a presentation that follows the step by step procedure to a certain task.
Whatever you programmed the algorithm, they will follow it. If there are aberrations with the effects, surely there is a loop on the procedure that was made. On the contrary, if you apply artificial intelligence and facilitate machine learning, there is a bigger chance that the method will enhance any loopholes from the procedure itself through thorough data collection and pattern recognition.
Artificial Intelligence and Machine Learning - Artificial Intelligence And The Smart System Of Algorithm - Image credit via Towards Data Science
It may sound scary but AI through machine learning is programmed that allows the system itself to recognize and counter accurately. If there are still mistakes to be mend, that is when you need to generate more detailed data for the entire system to learn.
The word algorithm itself is derived from the 9th century mathematician Muḥammad ibn Mūsā al-Khwārizmī, Latinized Algoritmi. A partial formalization of what would become the modern concept of algorithm began with attempts to solve the Entscheidungsproblem (decision problem) posed by David Hilbert in 1928. Later formalizations were framed as attempts to define "effective calculability" or "effective method". Those formalizations included the Gödel–Herbrand–Kleene recursive functions of 1930, 1934 and 1935, Alonzo Church's lambda calculus of 1936, Emil Post's Formulation 1 of 1936, and Alan Turing's Turing machines of 1936–37 and 1939.
Search Algorithm in AI - Artificial Intelligence And The Smart System Of Algorithm - Image credit via Javatpoint
The simplest form of how you can understand an algorithm to our daily lives is by using a recipe to cook a certain dish. You can find in the recipe all the ingredient that you will use. Given the direction on how to do it, step by step. That is the basic algorithm.
However, if you apply machine learning with your 'instructions" or algorithm, it will also give you another option and best practice to even make that recipe better. With add ons or new ingredients to modify its taste. Through collected data from different recipes on the internet right now. This is just a few of the things that artificial intelligence and the smart system of algorithm affects our daily lives.
Artificial Intelligence Through Machine Learning And Algorithms
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Since the algorithm is a step by step procedure, including in the computer system Artificial intelligence allows machine learning to work on the background.
This is both beneficial not just for the system but also for the procedure that the algorithm is placed. If you facilitate machine learning with algorithms, then rest assured that you will have accurate results than just using normal algorithm procedure.
Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to perform the task. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop a conventional algorithm for effectively performing the task.
As machine learning takes information from data mining and the recognition of pattern being used. This acts as a piece of new extensive knowledge for your computer to work not just by the normal procedure but to skip the long process through the data that is collected.
Machine Learning - Artificial Intelligence And The Smart System Of Algorithm - image credit via Oracle blogs
The mathematical equations, calculations, and creations are what keeps social interaction precise through the feeds being given by AI for every end-user.
The name machine learning was coined in 1959 by Arthur Samuel Tom M. Mitchell provided a widely quoted, more formal definition of the algorithms studied in the machine learning field: "A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E. This definition of the tasks in which machine learning is concerned offers a fundamentally operational definition rather than defining the field in cognitive terms. This follows Alan Turing's proposal in his paper "Computing Machinery and Intelligence", in which the question "Can machines think?" is replaced with the question "Can machines do what we (as thinking entities) can do?". In Turing's proposal the various characteristics that could be possessed by a thinking machine and the various implications in constructing one are exposed.
A good example of how the algorithm and machine learning works perfectly is the recommendations that you see through your feeds. For example, if you are using Netflix, the more interactions and searches that you make, the more data is collected to your activity.
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Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a field of study within machine learning, and focuses on exploratory data analysis through unsupervised learning. In its application across business problems, machine learning is also referred to as predictive analytics.
All of these activities are then collected and then use for your next search and gives you the most accurate movie, tv-series, and recommendations that will keep you hooked.
Where Do We Use Algorithms With Artificial Intelligence
Since AI can gather a use massive amount of data in a matter of seconds, algorithm powered wit artificial intelligence can make accurate calculations faster than the human mind.
Thanks to the series of data collected in the system, this procedure can be done without the need to create another program for the algorithm to follow. Once you have facilitated machine learning in the background, rest assured that Ai and algorithm will study these data and learn from them.
Data processing is another way on how algorithm through AI and machine learning can process results base on pattern recognition.
Data processing with Algorithm - Artificial Intelligence And The Smart System Of Algorithm - Image credit via Soft Computing And Intelligent Information System
This ability enhance and makes a smarted system powered with deep machine learning. It learns base on all the collected data and processes them realtime with milliseconds for the results you needed.
Automated common sense reasoning is how artificial intelligence works ion the background. This type of process is how computers react and interact with the end-user or humans.
The common-sense reasoning for the program and algorithm allows the user and the system to understand each other with the simplest form of language. The fast adaptation of artificial intelligence, algorithm, and machine learning build a solid foundation for computers, robots, and system to understand the human language better and give accurate recommendations base of factual data collected.
Interact with me on my latest c-blog about how Artificial Intelligence And The Smart System Of Algorithm and learn the different types of algorithms:
- Traditional Algorithm
- Machine Learning Algorithm
On a final thought, regardless of how we use artificial intelligence and algorithm, machine learning and all its fundamentals. It is still with proper precaution and extensive study that we can use this smart system to help us and make our lives better and easier.
We should not totally depend on everything in the system no matter how much it makes everything easy. There are still a lot of things that technology can never replace and we must know the real value of everything.
Check out my other AI-themed blogs here!
Have a great day and come back again.
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