
- 402 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
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
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Information
Table of contents
- Notes on Usage
- Table of Contents
- 1 Â Introduction
- 2 Â Installation
- 3 Â Artificial Neural Networks
- 4 Â Decision Trees
- 5 Â Convolutional Layers and Images
- 6 Â Transfer Learning
- 7 Â Anomaly Detection
- 8 Â Text Classification
- 9 Â Cluster Analysis
- 10 Â AutoKeras
- 11 Â Visual Programming Using KNIME
- 12 Â Reinforcement Learning
- 13 Â Genetic Algorithms
- 14 Â ChatGPT and GPT-4
- 15 Â DALL-E and Successor Models
- 16 Â Outlook
- A Â Exercise Solutions
- B Â References
- C Â The Author
- Index
- Service Pages
- Legal Notes