Fundamentals of Machine Learning for Predictive Data Analytics: Algorithm, Worked Examples and Case Studies

By:

Kelleher, John D

Contributor(s):

Material type: Text

TextPublication details: The MIT Press USA 2020Edition: 2nd edDescription: 798pISBN:

9780262044691

Subject(s):

Electrical Engineering

DDC classification:

006.31 KEL

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Holdings
Item type	Current library	Item location	Collection	Call number	Status	Date due	Barcode	Item holds
Reference Book	NIMA Knowledge Centre	7th Floor Silence Zone	Reference	006.31 KEL (Browse shelf(Opens below))	Not For Loan		T0052584

Total holds: 0

1. Introduction to Machine Learning and Data Analytics
Machine Learning for Predictive Data Analytics
Data to Insights to Decisions
Data Exploration
2. Predictive Data Analytics
Information Based Learning
Similarity Based Learning
Probability Based Learning
Error Based Learning
Deep Learning
Evaluation
3. Beyond Prediction
Beyond Prediction: Unsupervised Learning
Beyond Prediction: Reinforcement Learning
4. Case Studies and Conclusions
Case Study: Customer Churn
Case Study: Galaxy Classification
The Art Machine Learning for Predictive Data Analytics
5. Appendices
Descriptive Statistics and Data Visualization for Machine Learning
Introduction to Probability for Machine Learning
Differentiation Techniques for Machine Learning
Introduction to Linear Algebra
Bibliography
Index

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