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Working of AI in a Nutshell Structural Breakdown - Step 1 : Problem Identification - Step 2 : Data Collection - Step 3 : Data Processing - Step 4 : Algorithm Selection - Step 5 : Model Training - Step 6 : Testing and Validation - Step 7 : Iteration and Improvement - Step 8 : Deployment - Step 9 : Feedback Loop - Step 10 : Continuous Learning Key Aspects of AI - Cognitive Computing - Computer Vision - Machine Learning - Neural Network - Deep Learning - Natural Language Processing [Explore more in the post] If you found this helpful don’t forget to save this for later and comment your thoughts. Join my newsletter or send me a DM "Newsletter” for more posts like this. Follow Denis Panjuta on Linkedin : https://lnkd.in/eUHjTBUi
The bottle neck for me has always been data preprocessing using encoders, dropping attributes considered not needed.
Love this
This knowledge is really needed now. Perfectly explained 💯💯
Super interesting stuff. Love the branching out. One thing to keep in mind constantly with AI is ethics. Especially because AI is designed to copy aspects of human behaviour.
That's a good explanation there
Thanks for breaking down the AI workflow so clearly! It's a great overview of the process. I'm particularly interested in the continuous learning aspect. How do you ensure that the models continue to improve over time in real-world deployments?
Best way to understand the working of AI.
Amazing tools
Great breakdown of AI.
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1wGreat insights again dear