Process of Data Analytics or specifically Business Analytics [on hold]
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This is more of a general question. I know nothing in the fields mention, but some of my work recently involves it.
I would like to know the procedure or each stage of analytic and which part is done by computing aka automated while other are depending on analyst.
Thank you
data
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put on hold as too broad by Toros91, Siong Thye Goh, Mark.F, Simon Larsson, Stephen Rauch♦ 10 hours ago
Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
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$begingroup$
This is more of a general question. I know nothing in the fields mention, but some of my work recently involves it.
I would like to know the procedure or each stage of analytic and which part is done by computing aka automated while other are depending on analyst.
Thank you
data
New contributor
$endgroup$
put on hold as too broad by Toros91, Siong Thye Goh, Mark.F, Simon Larsson, Stephen Rauch♦ 10 hours ago
Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
add a comment |
$begingroup$
This is more of a general question. I know nothing in the fields mention, but some of my work recently involves it.
I would like to know the procedure or each stage of analytic and which part is done by computing aka automated while other are depending on analyst.
Thank you
data
New contributor
$endgroup$
This is more of a general question. I know nothing in the fields mention, but some of my work recently involves it.
I would like to know the procedure or each stage of analytic and which part is done by computing aka automated while other are depending on analyst.
Thank you
data
data
New contributor
New contributor
New contributor
asked 19 hours ago
Poro PoPoro Po
1
1
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New contributor
put on hold as too broad by Toros91, Siong Thye Goh, Mark.F, Simon Larsson, Stephen Rauch♦ 10 hours ago
Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
put on hold as too broad by Toros91, Siong Thye Goh, Mark.F, Simon Larsson, Stephen Rauch♦ 10 hours ago
Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.
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1 Answer
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Today, EVERYTHING is made by analysts.
- There are some parts of the process which can be automated like trying different algorythms to find the best, but an analyst is needed to check wheter that model was or not the best one.
AutoML is an answer to this question too.
- Automated machine learning (AutoML) is the process of automating the end-to-end process of applying machine learning to real-world problems. In a typical machine learning application, practitioners must apply the appropriate data pre-processing, feature engineering, feature extraction, and feature selection methods that make the dataset amenable for machine learning. Following those preprocessing steps, practitioners must then perform algorithm selection and hyperparameter optimization to maximize the predictive performance of their final machine learning model.
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
Today, EVERYTHING is made by analysts.
- There are some parts of the process which can be automated like trying different algorythms to find the best, but an analyst is needed to check wheter that model was or not the best one.
AutoML is an answer to this question too.
- Automated machine learning (AutoML) is the process of automating the end-to-end process of applying machine learning to real-world problems. In a typical machine learning application, practitioners must apply the appropriate data pre-processing, feature engineering, feature extraction, and feature selection methods that make the dataset amenable for machine learning. Following those preprocessing steps, practitioners must then perform algorithm selection and hyperparameter optimization to maximize the predictive performance of their final machine learning model.
New contributor
$endgroup$
add a comment |
$begingroup$
Today, EVERYTHING is made by analysts.
- There are some parts of the process which can be automated like trying different algorythms to find the best, but an analyst is needed to check wheter that model was or not the best one.
AutoML is an answer to this question too.
- Automated machine learning (AutoML) is the process of automating the end-to-end process of applying machine learning to real-world problems. In a typical machine learning application, practitioners must apply the appropriate data pre-processing, feature engineering, feature extraction, and feature selection methods that make the dataset amenable for machine learning. Following those preprocessing steps, practitioners must then perform algorithm selection and hyperparameter optimization to maximize the predictive performance of their final machine learning model.
New contributor
$endgroup$
add a comment |
$begingroup$
Today, EVERYTHING is made by analysts.
- There are some parts of the process which can be automated like trying different algorythms to find the best, but an analyst is needed to check wheter that model was or not the best one.
AutoML is an answer to this question too.
- Automated machine learning (AutoML) is the process of automating the end-to-end process of applying machine learning to real-world problems. In a typical machine learning application, practitioners must apply the appropriate data pre-processing, feature engineering, feature extraction, and feature selection methods that make the dataset amenable for machine learning. Following those preprocessing steps, practitioners must then perform algorithm selection and hyperparameter optimization to maximize the predictive performance of their final machine learning model.
New contributor
$endgroup$
Today, EVERYTHING is made by analysts.
- There are some parts of the process which can be automated like trying different algorythms to find the best, but an analyst is needed to check wheter that model was or not the best one.
AutoML is an answer to this question too.
- Automated machine learning (AutoML) is the process of automating the end-to-end process of applying machine learning to real-world problems. In a typical machine learning application, practitioners must apply the appropriate data pre-processing, feature engineering, feature extraction, and feature selection methods that make the dataset amenable for machine learning. Following those preprocessing steps, practitioners must then perform algorithm selection and hyperparameter optimization to maximize the predictive performance of their final machine learning model.
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answered 12 hours ago
Juan Esteban de la CalleJuan Esteban de la Calle
938
938
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