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{ "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/6/20/745/297/6207452976_b.jpg", "price_data" : { "retail_price" : "79.92", "online_price" : "79.92", "our_price" : "79.92", "club_price" : "79.92", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Applied Machine Learning|J. Mercy Rosary

Applied Machine Learning

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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.

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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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