What is Algorithm?
An algorithm is a set of instructions designed to perform a specific task. This can be a simple process, such as multiplying two numbers, or a complex operation, such as playing a compressed video file.
The search engine uses proprietary algorithms to display a specific query’s most relevant index search results.
In computer programming, algorithms are often created as functions. These functions act as small programs that a larger program can reference.
For example, an application view image may contain a library of functions that each use a custom algorithm to render a different file format image.
An image editing program may contain algorithms designed to process image data.
Examples of image processing algorithms include cropping, resizing, sharpening, blurring, red-eye reduction, and color enhancement.
In many cases, there are multiple ways to perform a particular operation in a software program.
Therefore, we examine the Bernalgorithm in various fields.
Algorithms can be widely used in various industrial fields to improve efficiency, accuracy and decision making. In the following, we have brought some of its important uses.
- Manufacturing: Algorithms can be used to optimize production processes and supply chain management, reduce waste and increase efficiency.
- “Investment” (Finance): Algorithms can be used to analyze financial data and make predictions in this field. They also help traders and investors in making informed decisions.
Healthcare: Algorithms are used in processing and analyzing medical images, helping to diagnose diseases, etc.
- Retail: Algorithms in this area are used for customer relationship management, personalized product offers and pricing optimization.
- Transportation: In the field of transportation, algorithms are used to optimize routes for delivery and transfers, reduce fuel consumption, and increase delivery speed.
- Energy: Algorithms are also used to optimize energy production, distribution and consumption, as well as reducing waste and increasing efficiency.
- Security: Algorithms are also used to detect and prevent security threats such as hacking , fraud, and cyber attacks.
In these fields and many other industries, algorithms play an important role in automating tasks, improving decision-making, and increasing overall efficiency and effectiveness.
example, the task of the
It may be that it receives 2 numbers and compares them to find the maximum value. Inputs and
and the algorithm seeks to discover the largest of them. It is not difficult to understand how the described algorithm works.
The algorithm that Photoshop uses to cut out the background probably scans all the pixels of an image to find “edges” or areas of “contrast” – where there is a high contrast in colors. For this purpose, there are well-known image processing methods.
Netflix Algorithm
Algorithm “Netflix” (Netflix | streaming service of movies and TV series), may compare the “Category” (Category) of the videos we have watched before with the categories of other available movies, in order to make suggestions or “recommendations” ( Recommendations) to us in the form of “recommendation systems”. It may also compare the data it has from us with that of other users and make recommendations to us based on the videos they have watched. It should be noted that predicting the output of these algorithms is a little more difficult.
Algorithms in artificial intelligence
As we mentioned in the definition of “algorithm”, it is a set of steps or steps that are well (clearly) defined and must be performed in order to achieve a planned result. Artificial intelligence can be considered a computer program, such as the Firefox browser, Microsoft Word, and other programs. Therefore, every solution related to “machine learning” and artificial intelligence that we come across is built from scratch using algorithms.
Algorithms perform various tasks in artificial intelligence as well as machine learning. Typically, these algorithms define the rules, conditions, and methods that an AI system uses to process and analyze data. This could be as simple as defining the steps that AI should take to process an invoice, rather than filtering images containing dogs (for example) in a dataset that contains hundreds of thousands of images.
With the help of machine learning algorithms, we can predict the outputs even with unknown inputs.
The types of problems that artificial intelligence algorithms can solve can be divided into 3 general categories. We have described these categories below.
- Classification: Classification algorithms predict what category or class an item belongs to. As an example, we can give an example of a program that recognizes and separates “spam” from normal emails.
- “Regression”: These types of algorithms are used to predict the digital label, based on how an object works. For example, we can mention the use of historical data to predict stock market prices.
- “Clustering”: Clustering algorithms divide objects into groups based on similarities in their functions. For example, we can refer to an algorithm for sorting financial transactions and separating samples from possible frauds.
Examples of algorithms
Now that we have learned what the algorithm is and also got to know how it works, it is necessary to review some examples in order to understand it better. In the following, we have given various examples of algorithms.
Conclusion
If you are a software engineer or if you have taken a step towards learning data science, it is necessary to be familiar with some concepts of this field such as “algorithm”. “Algorithm” is actually the beating heart of potentially powerful technologies such as artificial intelligence, and some people consider the future to belong to algorithms instead of thinking about the future of algorithms.
In this article from Faradars magazine, we learned what algorithm is. We also examined its definition, examples and applications both in real life and in computer programs. At the end, we have given some exercises that you can solve to measure your ability in relation to this important issue.
