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TT February 48, 2019 N I
KRW.nitttrkol.ac.in/iwaml2019T2ND INTERNATIONAL WORKSHOP ON
APPLIED MACHINE LEARNING AOL
KAT| NIT TTR, KolkataRegistration Form
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How to fill out applied machine learning
How to fill out applied machine learning
01
Understand the problem: Clearly define the problem you are trying to solve with machine learning.
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Data collection: Gather relevant data that will be used for training the machine learning model.
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Data preprocessing: Clean and preprocess the data to make it suitable for training.
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Feature selection: Choose the most important features for training the model.
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Model selection: Select a machine learning algorithm that is appropriate for the problem at hand.
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Model training: Train the selected model on the preprocessed data.
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Model evaluation: Evaluate the performance of the model using appropriate metrics.
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Model deployment: Deploy the trained model for making predictions on new data.
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Data scientists and machine learning engineers who are working on developing predictive models.
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What is applied machine learning?
Applied machine learning refers to the practical application of machine learning algorithms to solve specific problems or make predictions based on data.
Who is required to file applied machine learning?
Any individual or organization that uses machine learning algorithms for specific applications or purposes may be required to file applied machine learning.
How to fill out applied machine learning?
Applied machine learning can be filled out by collecting relevant data, selecting appropriate algorithms, training the models, testing the models, and then utilizing them to make predictions or solve problems.
What is the purpose of applied machine learning?
The purpose of applied machine learning is to leverage data and algorithms to automate processes, make predictions, or gain insights that can drive decision-making and improve outcomes.
What information must be reported on applied machine learning?
Information such as the dataset used, algorithms employed, model performance metrics, and the outcomes or predictions generated must be reported on applied machine learning.
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