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The statquest illustrated guide to machine learning

By:

Starmer, Josh

Material type: Text

9798986924021

Subject(s):

DDC classification:

006.31 STA-S

Contents:

1. Fundamental Concepts in Machine Learning!!! 2. Cross Validation!!! 3. Fundamental Concepts in Statistics!!! 4. Linear Regression!!! 5. Gradient Descent!!! 6. Logistic Regression!!! 7. Naive Bayes!!! 8. Assessing Model Performance!!! 9. Preventing Overfitting with Regularization!!! 10. Decision Trees!!! 11. Support Vector Classifiers and Machines (SVMs)!!! 12. Neural Networks!!!

List(s) this item appears in: Machine Learning

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Holdings
Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode	Item holds
Books	IIITD General Stacks	Computer Science and Engineering	006.31 STA-S (Browse shelf(Opens below))	Checked out		04/07/2025	013153
Books	IIITD Reference	Computer Science and Engineering	CB 006.31 STA-S (Browse shelf(Opens below))	Not for loan	DBT Project Grant		012690

Total holds: 1

Browsing IIITD shelves, Shelving location: General Stacks, Collection: Computer Science and Engineering Close shelf browser (Hides shelf browser)

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Previous	006.31 SHA-U Understanding machine learning :	006.310 SIM-M Mathematical analysis for machine learning and data mining	006.31 SRA-O Optimization for machine learning	006.31 STA-S The statquest illustrated guide to machine learning	006.31 SUT-R Reinforcement learning : an introduction	006.31 TRA-A Architecting data and machine learning platform : enable analytics and AI-driven innovation in the cloud	006.31 WAR-T TinyML :	Next

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