Machine Learning For Dummies
A Practical Introduction to Algorithms, Data, and Real-World Machine Learning Applications
JMCreated by Luca Massaron, John Paul Mueller
Explore how machines learn by combining practical coding with clear explanations of core algorithms and real-world applications. Build your understanding of data, statistics, and model validation without needing advanced math or programming experience. Gain hands-on skills for applying machine learning to everyday problems.
Wiley | Apr 2026 | 448 min
What You Will Learn
You will start with the basics of how machine learning works, using approachable code examples and visuals to reinforce each concept. As you progress, you will experiment with Python to prepare data, train models, and test their performance. Real-world scenarios and ethical considerations help you apply your new skills confidently.
Key Features
- Build and evaluate basic machine learning models using Python and real data
- Understand key algorithms like decision trees, clustering, and neural networks
- Apply machine learning techniques to solve real-world tasks such as image classification
Target Audience
Perfect for beginners, students, and professionals who want a practical introduction to machine learning. If you have some basic programming experience and understand high school math, you will feel right at home. This path is designed for those who want to build real skills without prior machine learning knowledge.
