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Machine Learning

₹306.00
₹340.00
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1919
34 Items

Specific References

According to New Revised CBCS Syllabus w.e.f. 2020-21

A Text book of

M.Sc. Computers Science

Semester-III

Machine Learning

Author: Neeta Nandgude, Dr. Poonam Ponde

Price: 340/-

ISBN: 978-93-90646-02-9

Quantity
In Stock

Contents

1. Introduction to Machine Learning

1. Introduction

2. Concepts

3. Basics of Machine Learning

4. Statistics

5. Handling Datasets

2. Machine Learning Models

1. Introduction

2. Type of Learning

3. Components of Generalization Error

4. A Learning System Cycle and Design Cycle

5. Metrics for Evaluation

6. Classification Accuracy and Performance 

3. Regression Models

1. Introduction

2. Linear Regression

3. Non-linear Regression 

4. Classification Models

1. Introduction 

2. K – Nearest Neighbors (KNN)

3. Logistic Regression

4. Naïve Bayes Classification

5. Support Vector Machine

6. Decision Tree Classification

7. Python implementation of decision tree classification

8. Random Forest Classification

9. Comparison 

5. Clustering Models

1. Introduction

2. Partitional Clustering

3. Hierarchical Clustering

6. Association Rules

1. Introduction

2. Key Terms

3. Apriori Algorithm

7. Reinforcement Learning

1. Introduction

2. Upper Confidence Bound (UCB)

3. Thompson Sampling

4. Q-Learning 

8. Deep Learning

1. Introduction

2. Artificial Neural Network (ANN)

3. Convolution Neural Network (CNN)

4. Recurrent Neural Network (RNN)

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