How do I create an AI project?
How To Build AI Software: 7 Key Steps
- Identify the problem you want to solve with AI.
- Gather data.
- Clean and prepare the data for model training.
- Choose an AI technology.
- Build and train the model.
- Test the model.
- Deploy the model.
How to Create an AI with Python?
- Step 1: Define the Problem
- Step 2: Collect and Preprocess Data
- Step 3: Choose an AI Model
- Step 4: Train the AI Model
- Step 5: Evaluate the AI Model
- Step 6: Test the AI Model
- Step 7: Deploy the AI Model
- Step 8: Monitor and Refine
a. How to build AI ML models?
The six steps to building a machine learning model include:
- Contextualise machine learning in your organisation.
- Explore the data and choose the type of algorithm.
- Prepare and clean the dataset.
- Split the prepared dataset and perform cross validation.
- Perform machine learning optimisation.
- Deploy the model.
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