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Advanced Machine Learning Fundamentals and Algorithms

By: Contributor(s): Language: English Publication details: BPB Publications 2024Description: 494ISBN:
  • 9789355516343
Summary: Table of Contents Introduction to Machine Learning Statistical Analysis Linear Regression Logistic Regression Decision Trees Random Forest Rule-Based Classifiers Naïve Bayesian Classifier K-Nearest Neighbors Classifiers Support Vector Machine K-Means Clustering Dimensionality Reduction Association Rules Mining and FP Growth Reinforcement Learning Applications of ML Algorithms Applications of Deep Learning Advance Topics and Future Directions
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books Cummins College of Engineering for Women Pune 006.3 TYA (Browse shelf(Opens below)) Available (not for issue) CCEP-BK-69296
Books Cummins College of Engineering for Women Pune 006.31 TYA (Browse shelf(Opens below)) Available (not for issue) CCEP-BK-67557

Table of Contents
Introduction to Machine Learning
Statistical Analysis
Linear Regression
Logistic Regression
Decision Trees
Random Forest
Rule-Based Classifiers
Naïve Bayesian Classifier
K-Nearest Neighbors Classifiers
Support Vector Machine
K-Means Clustering
Dimensionality Reduction
Association Rules Mining and FP Growth
Reinforcement Learning
Applications of ML Algorithms
Applications of Deep Learning
Advance Topics and Future Directions

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