What is AutoML | Basics of AutoML | AutoML Tutorial | Intellipaat
54This video on "What Is AutoML?" will help you understand the concept of automating machine learning. Understand why many researches are going on in the field of automated machine learning, why it's a big deal in future, what benefits it has to offer. Learn about the processes involved in AutoML and the Applications of AutoML. So, let's get started with this AutoML tutorial!
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✅What Is AutoML?
Instead of depending entirely on data scientists to hand-code models, automated machine learning (AutoML) solutions enable enterprises to construct and implement machine learning models at scale throughout their operations rapidly, precisely, and reliably.
✅Explain problems in AutoML.
AutoML has had a lot of success in applying AI developments. However, there is still opportunity for improvement in the AutoML implementation process. The problem arises when the interplay between data, models and humans comes into the act.
For starters, AutoML developers find it difficult to interpret unstructured and semi-structured data. The second issue to emphasize is that the contemporary AutoML framework optimization goals keep on changing constantly. Besides that there is no way to make an informed decision until the final results are disclosed.
Furthermore, it’s difficult to implement automated ML and obtain trusted outcomes as the conditions are changing at high speed. The AutoML applications that are currently offered by the market can only run one ML model program. For example, PyTorch.
Another challenge that is worth mentioning is that making a model explainable is difficult with AutoML. Partly, it’s even a question of personal judgment. The solution found may not meet the final users’ expectations. Organizations have to work on developing the standards related to understandable, consistent ML.
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