Probability for statistics and machine learning
fundamentals and advanced topics
par Anirban DasguptaI strongly recommend this book as a reference book for those who apply probability theory in their work: computer scientists, applied statisticians, industrial engineers and so on. This book is very comprehensive: in every topic this book discusses, from very basic undergrad facts to modern probability theory results are all covered.
Livres
Rosewood
Sayantani DasGupta
3D Printing in Biotechnology
Nandita Dasgupta
Clinical Chemistry, Immunology and Laboratory Quality Control
Amitava Dasgupta
Current Controversies in Philosophy of Science
Shamik Dasgupta
Sediment Compaction and Applications in Petroleum Geoscience
Troyee Dasgupta
Electoral Politics and Hindu Nationalism in India
Koushiki Dasgupta
Accurate Results in the Clinical Laboratory
Amitava Dasgupta
Deprivation, Inequality and Polarization
Indraneel Dasgupta
The Study of Patanjali
Dasgupta, Surendranath
Advances in User Authentication
Dipankar Dasgupta
Spacer Engineered FinFET Architectures
Sudeb Dasgupta
Alcohol, Drugs, Genes and Clinical Laboratory
Amitava Dasgupta
FPGAs Under the Hood
Anirban Rahut
Capital
Rana Dasgupta
Asymptotic Theory of Statistics and Probability
Anirban DasGupta
Solo
Rana Dasgupta
Fundamentals of Probability
Anirban DasGupta
Gadyasamagra
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Mapping Calcutta
Keya Dasgupta
Econophysics and Sociophysics
Anirban Chakraborti
Social Capital
Partha Dasgupta
What improves environmental performance?
Susmita Dasgupta
Gandhi's Economic Thought
Ajit K. Dasgupta
A history of Indian philosophy
Dasgupta, Surendranath
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Brand : pu provence, binding : taschenbuch, label : pu provence, publisher : pu provence, medium : taschenbuch, numberofpages : 216, publicationdate : 2011-07-15, authors : paul aubert, isabelle rouane soupault, isbn : 2853997847.
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