Developing AI Applications: An Introduction
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AI. Move past playing around with chatbots and plugging your data into others' applications--learn how to create your own! Walk through key AI methods like decision trees, convolutional layers, cluster analysis, and more. Get your hands dirty with simple no-code exercises and then apply that knowledge to more complex (but still beginner-friendly!) examples. With information on installing KNIME and using tools like AutoKeras, ChatGPT, and DALL-E, this guide will let you do more with AI!
Highlights include:
1) Python
2) KNIME
3) ChatGPT
4) DALL-E
5) Artificial neural networks (ANN)
6) Decision trees
7) Convolutional layers
8) Transfer learning
9) Anomaly detection
10) Text and image classification
11) Cluster analysis
12) Reinforcement learning
Highlights include:
1) Python
2) KNIME
3) ChatGPT
4) DALL-E
5) Artificial neural networks (ANN)
6) Decision trees
7) Convolutional layers
8) Transfer learning
9) Anomaly detection
10) Text and image classification
11) Cluster analysis
12) Reinforcement learning
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