Explain the concept of AI project cycle with the help of a suitable example.
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Answers
Answer:
Generally, every AI or data project life cycle encompasses three main stages
1:project scoping, design or building phase and deployment. hope it is help ful to you. Thank you
Answer:
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Answer:
Generally, every AI or data project lifecycle encompasses three main stages: project scoping, design or build phase, and deployment in production.
In the complete life cycle process, to solve a problem, we create a machine learning system called "model", and this model is created by providing "training". But to train a model, we need data, hence, life cycle starts by collecting data.
These steps are as follows:
Define the training data.
Define a neural network model.
Configure the learning process.
Train the model.
Get started!
Pick a topic you are interested in.
Find a quick solution.
Improve your simple solution.
Share your solution.
Repeat steps 1-4 for different problems.
Complete a Kaggle competition.
Use machine learning professionally.
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