vinod desai

OBJECT ORIENTED CONCEPTS OOC (18CS45) - Introduction and SYLLABUS

vinod desai

COMPUTER GRAPHICS AND VISUALIZATION (18CS62) - Introduction and SYLLABUS

vinod desai

Machine Learning LAB (17CSL76) video

vinod desai

Computer Organization - 18CS34 (module 5) Concepts pipelining, Basic Concepts(4-stage pipeline)

vinod desai

Machine Learning (Module 5) Basics of sampling theorem, Binomial Distribution

vinod desai

Machine Learning (Module 5) EVALUATING HYPOTHESES - MOTIVATION and ESTIMATING HYPOTHESIS ACCURACY

vinod desai

Computer Organization - 18CS34 (module 5) Concepts Micro Instructions

vinod desai

Computer Organization - 18CS34 (module 5) Concepts hardwired Control

vinod desai

Machine Learning (Module 4) BAYESIAN LEARNING Bayesian Belief Networks

vinod desai

Computer Organization - 18CS34 (module 5) Concepts microprogrammed control

vinod desai

Computer Organization - 18CS34 (module 5) Concepts Hardwired control

vinod desai

Machine Learning (Module 4) BAYEIAN LEARNING EM Algorithm

vinod desai

Machine Learning (Module 4) BAYEIAN LEARNING Naïve Bayes Classifier

vinod desai

ML - 17CS73 (Module 4) BAYEIAN LEARNING Minimum Description Length Principal

vinod desai

CO - 18CS34 (module 3) Concepts Hit Rate & Miss Penalty and Caches on the Processor Chip

vinod desai

ML(Module 4) BAYEIAN LEARNING MAXIMUM LIKELIHOOD HYPOTHESES FOR PREDICTING PROBABILITIES

vinod desai

CO - 18CS34 (module 3) Concepts Replacement Algorithms and Performance Considerations

vinod desai

Machine Learning (Module 4) BAYEIAN LEARNING Normal Probability Distribution(Gaussian Distribution)

vinod desai

Machine Learning (Module 4) BAYEIAN LEARNING MAP Hypotheses and Consistent Learners

vinod desai

Machine Learning (Module 4) BAYEIAN LEARNING - BAYES THEOREM & CONCEPT LEARNING

vinod desai

CO - 18CS34 (module 3) Concepts Cache Memories

vinod desai

Machine Learning - 17CS73 (Module 4) BAYEIAN LEARNING - BAYES THEOREM and Example

vinod desai

Machine Learning - 17CS73 (Module 4) BAYEIAN LEARNING - Introduction & Features of Bayesian Learning

vinod desai

CO - 18CS34 (module 3) Concepts Asynchronous Memories (DRAM) and Synchronous DRAMs(SDRAM)

vinod desai

CO (module 3) ConceptSemiconductor RAM Memories, Static Memories (SRAM)&Asynchronous Memories(DRAM)

vinod desai

Machine Learning - 17CS73 (Module 3) Concepts REMARKS ON THE BACKPROPAGATION ALGORITHM

vinod desai

Machine Learning 17CS73 (Module 3) Concepts Derivation of the Back Propagation Rule

vinod desai

Machine Learning (Module 3) Concepts Multilayer Networks and Back-Propagation Algorithm

vinod desai

Machine Learning (Module 3) Stochastic Approximation to Gradient Descent

vinod desai

Machine Learning (Module 3) Gradient Descent Rule and Gradient Descent Algorithm

vinod desai