- Machine learning is everywhere. It powers applications such as recommendation systems, spam filtering, speech recognition, image recognition, and autonomous vehicles.
- The goal of the book is to help beginners understand both the concepts behind machine learning and how to implement them in practice.
- No advanced mathematics is required at the start. The author introduces mathematical concepts gradually as they become necessary.
- Hands-on learning is a major focus. Readers build and evaluate machine learning models using Python, with optional R implementations for some examples.
- Responsible AI is emphasized. The introduction highlights the importance of fairness, ethics, privacy, and understanding the limitations of machine learning systems.
- Book structure: The text progresses from fundamental concepts to supervised learning, unsupervised learning, neural networks, reinforcement learning, and concludes with practical applications and caree
A Hands-On Introduction to Machine Learning
1 in stock
د.إ290.00
- Machine learning is everywhere. It powers applications such as recommendation systems, spam filtering, speech recognition, image recognition, and autonomous vehicles.
- The goal of the book is to help beginners understand both the concepts behind machine learning and how to implement them in practice.
- No advanced mathematics is required at the start. The author introduces mathematical concepts gradually as they become necessary.
- Hands-on learning is a major focus. Readers build and evaluate machine learning models using Python, with optional R implementations for some examples.
- Responsible AI is emphasized. The introduction highlights the importance of fairness, ethics, privacy, and understanding the limitations of machine learning systems.
- Book structure: The text progresses from fundamental concepts to supervised learning, unsupervised learning, neural networks, reinforcement learning, and concludes with practical applications and caree
1 in stock
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