Machine Learning has been an outstanding achievement in the field of Artificial Intelligence. The algorithms behind the success of Machine Learning are Deep Neural Networks which were made after research of years through the expert researchers. The only difficulties the researchers faced was the discovery of AutoMl. AutoML is that field that aims to automate the style of Machine Learning Algorithms. Till now the AutoML has only aimed at building solutions by joining the sensitive hand-designed components.

The only alternative method to use the hand-designed components in AutoML is the search for the whole algorithm from the zero levels. The main challenge in exploring the entire algorithm from zero degrees is that it needs intense exploration. Which has some benefits as well, though, but it requires us to go through what we already know, which may help us in improving our Machine Learning architectures. For example, if you want to build a building from zero levels, there is very much chances of opportunities for strengthening the structure of your building rather than just constructing a building with prefabricated rooms.

#artificial intelligence #automl #machine learning

AutoML: Automated Machine Learning | Data Science | Machine Learning
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