supervised machine learning
Let’s start talking about supervised learning with an example:
Suppose you have a series of pictures of different animals and you want to separate and classify them into different categories. The first step is to introduce all the animals in the pictures to the device:
If one of them has a small body with long ears and wide claws, the label is rabbit. If one of them has a large body with a long trunk, the label is an elephant. After data education, you give a new images to the device and you want to identify it.
The device behaves intelligently based on what it has learned from previous data, first classifying the image of the animal by its size and appearance, confirming the image, and placing it in the rabbit category. So the machine learns things from educational data (images of different animals) and then uses the knowledge gained to test new data (new images). This algorithm is called supervised machine learning.
Earlier in the article, doing a machine learning project in Bigpro1, we gave a summary of supervised machine learning. In the following sections, we will introduce supervised machine learning, its algorithms and performing a supervised learning project in Bigpro1 in detail.
Performing a supervised machine learning Bigpro1
Nowadays machine learning is a hot topic in universities, as evidenced by machine learning projects and dissertations. One of the most important machine learning algorithms is supervised machine learning algorithm.
Carrying out supervised machine learning projects due to the use of multiple tools and the need for sufficient expertise to use these tools is a tedious task and requires a lot of time and money. The best way to do a machine learning project is to entrust it to a specialist.
Bigpro1 allows users to perform their supervised machine learning projects with just a few simple clicks and without sufficient expertise in using the required tools, by registering the necessary parameters for these algorithms, and receive the most accurate and complete result.
What is supervised machine learning?
Supervised machine learning is a subset of machine learning and artificial intelligence. Supervised machine learning algorithms are defined using labeled datasets to teach algorithms for data classification or accurate prediction of results. The supervised learning model is trained to the point that it can identify underlying patterns and relationships between input data and output tags, enabling it to provide accurate tagging results when presenting previously unseen data.
Supervised learning helps organizations solve a variety of real-world problems at different scales, such as sorting spams in a separate folder in the Gmail Inbox.Supervised learning is used in classification and regression problems, such as sorting spams in a separate folder in your inbox, determining which category a news article belongs to, or forecasting sales for a given future date.
The success of building, scaling, and accurately applying supervised machine learning models needs highly skilled teams and data scientists, time, and technical skills.
Classification algorithm in supervised machine learning
Regression algorithm in supervised machine learning
Applications of supervised machine learning
Carry out a supervised machine learning project with Bigpro1
Nowadays, due to the special importance of machine learning and its algorithms such as supervised learning, researchers, business owners and students are looking to do their project in the best possible way.
But as mentioned above, doing a supervised machine learning project by oneself is difficult and time consuming because it requires a lot of tools and their use requires sufficient skills.
Bigpro1 system has well identified all the needs of users in the field of machine learning and therefore has implemented many supervised machine learning algorithms in its system to meet the needs of users accurately and comprehensively.
To perform the supervised machine learning project, users can enter their user dashboard and select the desired algorithm, enter the necessary parameters and submit their project to the Bigpro1 system and wait for the result of their project in the shortest possible time.
Click the button below to start your supervised learning project: