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Machine Learning

By: Material type: TextTextPublication details: New Delhi Wiley India 2024Description: 308pISBN:
  • 9788126578511
DDC classification:
  • 006.31 SRI/M
Contents:
Machine Learning Artificial Intelligence Supervised Learning Algorithms Unsupervised Learning Algorithms Data Preprocessing Optimization Techniques Neural Networks Linear Regression Logistic Regression Decision Trees Support Vector Machines Bayesian Classification Naive Bayes Classifier k-Nearest Neighbor Algorithm Hidden Markov Models Clustering Techniques Gradient Descent Methods Cost Functions Model Evaluation Linear Algebra Python Programming for Machine Learning NumPy (Numerical Python) Pandas (Python Library) Scikit-Learn
List(s) this item appears in: New Arrivals
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Reference Reference IIIT Kottayam Central Library Reference 006.31 SRI/M (Browse shelf(Opens below)) Not For Loan 3117
Books Books IIIT Kottayam Central Library General Stacks 006.31 SRI/M (Browse shelf(Opens below)) 1 Available 3118
Books Books IIIT Kottayam Central Library General Stacks 006.31 SRI/M (Browse shelf(Opens below)) 2 Available 3119
Books Books IIIT Kottayam Central Library General Stacks 006.31 SRI/M (Browse shelf(Opens below)) 3 Available 3120
Books Books IIIT Kottayam Central Library General Stacks 006.31 SRI/M (Browse shelf(Opens below)) 4 Available 3121
Total holds: 0
Browsing IIIT Kottayam Central Library shelves, Shelving location: General Stacks Close shelf browser (Hides shelf browser)
006.31 ROG/F First Course in Machine Learning 006.31 ROG/F First Course in Machine Learning 006.31 SRI/M Machine Learning 006.31 SRI/M Machine Learning 006.31 SRI/M Machine Learning 006.31 SRI/M Machine Learning 006.31 SRI/M Machine Learning

Machine Learning

Artificial Intelligence

Supervised Learning Algorithms

Unsupervised Learning Algorithms

Data Preprocessing

Optimization Techniques

Neural Networks

Linear Regression

Logistic Regression

Decision Trees

Support Vector Machines

Bayesian Classification

Naive Bayes Classifier

k-Nearest Neighbor Algorithm

Hidden Markov Models

Clustering Techniques

Gradient Descent Methods

Cost Functions

Model Evaluation

Linear Algebra

Python Programming for Machine Learning

NumPy (Numerical Python)

Pandas (Python Library)

Scikit-Learn

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