Physics
Suggestions for Physics
Cambridge University Press (9781107495753) | IB Diploma
Springer International Publishing AG (9783319011615 / 37 black & white illustrations, 32 colou)
The Mythology of the Night Sky: An Amateur Astronomer's Guide to the Ancient Greek and Roman Legends
(9781461401360) | Mythology of The Night
(9780412458002)
Springer-Verlag Berlin and Heidelberg GmbH & Co. K (9783540309888 / 32 black & white illustrations)
(9780387513485)
(9780387529028)
World Scientific Publishing Co Pte Ltd (9789812566874 / illustrations)
(9780470823422)
(9780415273510 / 70 tables, 200 line drawings, references)
(9780471389323)
Springer-Verlag Berlin and Heidelberg GmbH & Co. K (9783540888567 / biography)
(9780306451317)
(9780387539263)
(9780471248231)
(9781118449745)
(9781118493120)
Brand: National Academies Press (9780309042413)
(9780412282805)
(9781441925329)
Springer-Verlag Berlin and Heidelberg GmbH & Co. K (9783642027444 / 60 black & white illustrations, 60 black)
Springer-Verlag Berlin and Heidelberg GmbH & Co. K (9783540690924 / 34 black & white tables, biography)
(9781107410497)
Springer-Verlag Berlin and Heidelberg GmbH & Co. K (9783540936534 / 6857179)
(9781482223040) - Jyoti Prasad Banerjee
(9780198759867) - Sandip Tiwari
(9783030117313 / 35054043) - Hassan Raza
(9781786076069) - Sean Carroll
(9780199606504 / 9780199606504) - Dimensions: 229 x 156 x 36 mm - ISBN: 9780199606504 - Number of pages: 576 - Oxford University Press - Weight: 858 g | Catastrophic Risks
INGRAM PUBLISHER SERVICES US (9780465027972 / 33869778) - Dimensions: 143 x 210 x 15mm | 180g - Edition statement: 2nd edition - Format: 208 pages - BASIC BOOKS - New York, United States - INGRAM PUBLISHER SERVICES US
(9780806539966 / 9780806539966) - Dimensions: 152 x 229 x 30.48mm | 748.43g - Reprint - United States - Citadel Press Inc.,U.S. - Format: Paperback | 576 pages - Publication date: 30 Aug 2016 - ISBN: 9780806539966 | Nikola Tesla
Explore Bayesian inference through clear examples and intuitive explanations, guiding readers from basic probability to advanced hierarchical models with practical code snippets and real‑world applications.
A concise primer that demystifies statistical mechanics, blending clear explanations of ensembles, partition functions, and phase transitions with practical examples for students and researchers alike.