Developing AI Applications

It’s time to get practical about AI. Move past playing 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, then apply that knowledge to more complex examples. 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 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