With the introduction of artificial intelligence (AI) in every business scene, regardless of industry or industry, many people may want to develop artificial intelligence in-house. When you hear artificial intelligence, you may think that it is sophisticated and difficult, but there is also a simple artificial intelligence that even beginners can make. In this article, we will review artificial intelligence and then introduce the basic knowledge of how to make it.
Table of contents
- How to make artificial intelligence? Basic knowledge that beginners should know
- How to prepare and make artificial intelligence
- A way to learn how to make artificial intelligence
- Benefits of learning how to make artificial intelligence
- Skills needed to learn how to make artificial intelligence
- If you want to introduce artificial intelligence to your business, leave it to the no-code AI “UMWELT”!
- summary
How to make artificial intelligence? Basic knowledge that beginners should know
First, let’s take a look at the definition of artificial intelligence, its types, and related analytical techniques.
Types of artificial intelligence
Artificial intelligence is an abbreviation for “Artificial Intelligence” and is generally called “AI”. AI can handle a variety of tasks based on the programs it learns. However, even if you say AI in a nutshell, it can be classified according to function and purpose of use, and from the viewpoint of problem processing range, it is divided into “specialized AI” and “general purpose AI”.
“Specialized artificial intelligence (weak AI)”
Specialized AI automatically performs tasks by focusing on issues in a limited area. The AI ​​currently used in business is mainly specialized AI.
“General-purpose artificial intelligence (strong AI)”
General-purpose AI refers to AI that can handle a wide variety of issues in the same way as humans. Even if an unexpected event occurs, it is said that the problem can be solved flexibly based on past experience. However, the prospect of realizing general-purpose AI is not clear at present.
How to prepare and make artificial intelligence
In order to build artificial intelligence, it is important to work while taking the correct steps. From here, I will introduce the preparations and procedures for building artificial intelligence.
1. Collect data
First, collect the data to make the computer learn to AI. In order for AI to analyze and make predictions, it needs data that is the correct answer. It is believed that the larger the amount and quality of data, the better the accuracy of AI.
2. Select a learning method
Then select a learning method. There are five machine learning methods, such as “supervised learning,” “unsupervised learning,” “reinforcement learning,” “deep reinforcement learning,” and “semi-supervised learning.” The characteristics of each algorithm are as follows.
Supervised learning
Supervised learning is a method of preparing correct answer data and learning the characteristics and rules of input data so that correct output can be obtained.
Unsupervised learning
Unsupervised learning is a method of learning and analyzing the characteristics and rules of data entered without correct answer data. By giving data, the model is built while extracting the structure, pattern, etc. of the data.
Reinforcement learning
Reinforcement learning is a method of learning so that the “agent” behaves best in the “environment” in a system composed of two elements, the “environment” and the “agent”.
Deep reinforcement learning
Deep reinforcement learning is a combination of deep learning and reinforcement learning.
Semi-supervised learning
Semi-supervised learning is a learning method when a small number of labeled data and a large amount of unlabeled data are prepared.
3. Process in a format suitable for machine learning
Machine learning cannot be performed if the definitions of the collected data are disjointed, unorganized, or if unnecessary data is mixed. Therefore, it is necessary to process the data into a shape suitable for machine learning.
4. Loading public data
Finally, read the public data. There are two ways to incorporate the artificial intelligence you have created so that it can be published: “front end” and “back end”. The front end is the part of a web service or web application that is directly visible to the user, and the back end is the part that is invisible to the user, such as the server side.
A way to learn how to make artificial intelligence
There are several ways to learn artificial intelligence. The best learning methods are different, so it’s a good idea to try different methods and choose the one that suits you best.
Utilize web services and schools
Admission to a web service or programming school where you can receive direct guidance from a professional instructor is less likely to be frustrated, and the advantage is that you can learn efficiently. If you want to learn more efficiently, we recommend using a school-based programming school, and if you want to study at home in your spare time, we recommend using a web service.
Learn by yourself
One way is to learn by yourself by using books sold at bookstores. Books have the merits of “full of expert knowledge and wisdom”, “easy-to-understand expressions because they take steps such as proofreading and proofreading”, and “you can actually move your hands while learning the basics”. I have.
I will actually make it
When building AI using a computer language, you will learn to actually create a program. It is not uncommon to be able to master the method of building artificial intelligence in the shortest amount of time by learning skills sensibly while repeating trials and errors. However, project-scale development in business requires a number of engineers. Therefore, you should avoid this method, which takes an enormous amount of time to build.
Benefits of learning how to make artificial intelligence
What are the benefits for companies and individuals by mastering how to create artificial intelligence? From here, I will introduce the benefits of building artificial functions.
Business benefits
The benefits of building and introducing artificial intelligence in your business include:
- Business efficiency
- Resolving labor shortages
- Advanced data analysis and forecasting
- cost reduction
- Ensuring safety
By automating work by making full use of artificial intelligence, it is possible to reduce the burden on employees, solve labor shortages, and accurately forecast demand, improving work efficiency and productivity.
Personal benefits
The benefits of learning how to make artificial intelligence extend beyond the personal realm. The benefits that individuals can gain by building and introducing artificial intelligence are as follows.
- It will be advantageous to get a job
- Improves the quality of communication
Now that digital transformation using AI is progressing, there are increasing employment opportunities for IT engineers and data scientists who are familiar with and master artificial intelligence. Also, in the AI ​​society, it is expected that the deeper the knowledge about AI, the better the quality of communication with others.
Skills needed to learn how to make artificial intelligence
There are three skills required to learn how to make artificial intelligence:
Development means
Knowing the means of development in the field where you want to utilize artificial intelligence is indispensable for learning how to make it. As an example of development means, “method of utilizing AI framework (library)”, “method of using API service that can create AI model with no code”, and “publicly learned AI model (tool) are used. There is a “method”.
Programming language
When developing AI, it is necessary to learn a programming language and be able to build a system. There are various types of programming languages, and each has a different field of development. In AI development, Python and SQL are often used.
Knowledge of mathematics (statistics)
Building artificial intelligence also requires knowledge of mathematics. This is because all machine learning and deep learning using AI are done by calculation, and mathematics plays a role as a common language. The fields of mathematics required for studying AI are the basics of calculus, the basics of linear algebra, and mathematical statistics. Let’s study this range and solidify the basic knowledge.
If you want to introduce artificial intelligence to your business, leave it to the no-code AI “UMWELT”!
If you are thinking of introducing AI to your business site, we recommend the no-code AI cloud “UMWELT” developed by TRYETING. UMWELT is an all-in-one tool with functions for DX conversion. It is equipped with a large number of algorithms, and you can create your own AI by freely combining them. Another strength of UMWELT is that it is a cloud-based tool, so you can start using it immediately.
summary
This time, I have briefly explained the steps of how to make from the definition of artificial intelligence. In order to continue a stable business in the future, the introduction of AI is indispensable. However, building from scratch is a high hurdle in terms of cost and technology. TRYETING’s UMWELT is an AI tool that does not require specialized human resources, so anyone can quickly and easily build an AI system. If you are interested, please contact us from the service page below.
