{
"item_title" : "Applied Machine Learning",
"item_author" : [" J. Mercy Rosary", "Amala Deepa", "R. Leelavathi "],
"item_description" : "Applied Machine Learning Starter is a 10-week, hands-on introduction for beginners. You'll move from core concepts to a complete project, learning by doing with Python and key libraries. Each week focuses on a practical skill: setting up tools, building models (linear/logistic regression, decision trees), evaluating performance, and exploring clustering, dimensionality reduction, and neural networks. The structured approach balances theory with application, culminating in an end-to-end project that integrates all concepts. Designed for clarity and real-world relevance, this guide equips you with the foundational skills and confidence to start solving problems with machine learning.",
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Applied Machine Learning
Overview
Applied Machine Learning Starter is a 10-week, hands-on introduction for beginners. You'll move from core concepts to a complete project, learning by doing with Python and key libraries. Each week focuses on a practical skill: setting up tools, building models (linear/logistic regression, decision trees), evaluating performance, and exploring clustering, dimensionality reduction, and neural networks. The structured approach balances theory with application, culminating in an end-to-end project that integrates all concepts. Designed for clarity and real-world relevance, this guide equips you with the foundational skills and confidence to start solving problems with machine learning.
This item is Non-Returnable
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Details
- ISBN-13: 9786207452972
- ISBN-10: 6207452976
- Publisher: LAP Lambert Academic Publishing
- Publish Date: February 2026
- Dimensions: 9 x 6 x 0.31 inches
- Shipping Weight: 0.41 pounds
- Page Count: 132
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