Because an excellent data scientist requires a highly professional skill set, and talents who meet the conditions are relatively scarce, making it difficult for most companies to hire suitable talents, the emergence of AutoML can reduce the dependence on data scientists in a timely manner. Having said that, there are still some misconceptions about AutoML, the main one being that AutoML does not require the involvement of data scientists at all.
Machine learning is a very powerful general technology armenia whatsapp number data 5 million with an astonishing number of related applications. To understand the capabilities of AutoML, you must first understand how machine learning works.
Machine learning consists of the following steps. First, you need to collect relevant data and clean it to clarify what you can learn from the data. The next step is to define a representation of the data, put it into the model, and train the model to optimize accuracy to achieve the desired goal. Since the overall operation is extremely complex and requires a lot of human participation, in order to maximize the effectiveness of machine learning, a team of well-trained data scientists are needed to assist in creating, applying and optimizing the model, and to participate in the entire operation process.
To automate all steps in the process, thereby improving efficiency while reducing costs. If it can be successfully realized, AutoML is expected to play different uses in various industries and bring comprehensive changes to different aspects of society. This is why it has attracted so much attention recently.
