{"id":15830,"date":"2026-08-10T11:59:06","date_gmt":"2026-08-10T11:59:06","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/wiley-machine-learning-for-dummies-3rd-edition-2025\/"},"modified":"2026-08-10T11:59:06","modified_gmt":"2026-08-10T11:59:06","slug":"wiley-machine-learning-for-dummies-3rd-edition-2025","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/wiley-machine-learning-for-dummies-3rd-edition-2025\/","title":{"rendered":"Wiley \u2013 Machine Learning For Dummies, 3rd Edition 2025"},"content":{"rendered":"
\n
 <\/div>\n

Description<\/h2>\n

Machine Learning For Dummies, 3rd Edition is a textbook on machine learning concepts for beginners and non-technical learners published by Wiley Online Academy. This third edition provides a clear and understandable introduction to machine learning concepts for beginners and non-technical learners. The textbook explains how machines learn from data, the types of machine learning, and the real-life applications of these techniques, such as recommendations, predictions, and automation. The book focuses on building strong intuition without heavy math, making complex ideas easy to understand while showing how machine learning fits into modern business and technology.<\/p>\n

Machine Learning for Dummies is a great starting point for anyone who wants to gain deeper insight into how learning happens. It provides an overview of machine learning and its most important practical applications. Then, you\u2019ll delve into the tools, code, and mathematics that drive machine learning\u2014and even get step-by-step instructions for trying it out yourself. For an easy introduction to building intelligent algorithms, this Dummies guide is your go-to. Key points include understanding what machine learning is and how it differs from traditional programming; exploring supervised, unsupervised, and reinforcement learning; learning the machine learning workflow from data collection to model evaluation; understanding common algorithms and use cases; understanding data quality and the importance of features; evaluating models and avoiding common pitfalls; and gaining insight into ethical considerations and real-world applications of machine learning.<\/p>\n

What you will learn in Machine Learning For Dummies, 3rd Edition:<\/h3>\n