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About Developing AI Applications: An Introduction
It’s time to get practical about 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 1) Python2) KNIME3) ChatGPT4) DALL-E5) Artificial neural networks (ANN)6) Decision trees7) Convolutional layers8) Transfer learning9) Anomaly detection10) Text and image classification11) Cluster analysis12) Reinforcement learning
Detailed Information
| Author: | Metin Karatas |
|---|---|
| Publication Year: | 2024 |
| Language: | English |
| File Size: | 19 |
| Format: | |
| Price: | FREE |
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