דסבת

What role does model monitoring play in understanding AI decision-making?

1

מיין לפי

What is AutoML primarily aimed at automating?

1

מיין לפי

In the current paradigm of machine learning development, without using AutoML, what role do humans play in instructing the machine learning process?

1

מיין לפי

Why is developing machine learning applications considered time-consuming and challenging in relation to the past?

1

מיין לפי

Which level of AutoML involves using high-level algorithm APIs such as Sklearn, Keras, Pandas, H2O, and XGBoost?

1

מיין לפי

Which level of AutoML involves automatic hyperparameter tuning and ensembling, along with basic model selection?

1

מיין לפי

In terms of AutoML, at which level does automatic (technical) feature engineering and feature selection, along with technical data augmentation and GUI, become available?

1

מיין לפי

At which level of AutoML does full ML automation occur, allowing for the generation of super-human strategies for solving hard ML problems without any input or guidance?

1

מיין לפי

In the context of AutoML, where are the current tools on the market positioned in terms of the six levels of AutoML?

1

מיין לפי

In which level of AutoML are complex features that are domain-dependent typically found?

1

מיין לפי

Discuss, Learn and be Happy דיון בשאלות

What role does model monitoring play in understanding AI decision-making?

What is AutoML primarily aimed at automating?

In the current paradigm of machine learning development, without using AutoML, what role do humans play in instructing the machine learning process?

Why is developing machine learning applications considered time-consuming and challenging in relation to the past?

Which level of AutoML involves using high-level algorithm APIs such as Sklearn, Keras, Pandas, H2O, and XGBoost?

Which level of AutoML involves automatic hyperparameter tuning and ensembling, along with basic model selection?

In terms of AutoML, at which level does automatic (technical) feature engineering and feature selection, along with technical data augmentation and GUI, become available?

At which level of AutoML does full ML automation occur, allowing for the generation of super-human strategies for solving hard ML problems without any input or guidance?

In the context of AutoML, where are the current tools on the market positioned in terms of the six levels of AutoML?

In which level of AutoML are complex features that are domain-dependent typically found?