|
gptkbp:instance_of
|
gptkb:book
|
|
gptkbp:bfsLayer
|
6
|
|
gptkbp:bfsParent
|
gptkb:Larry_Mc_Kay
|
|
gptkbp:author
|
gptkb:Cameron_Davidson-Pilon
|
|
gptkbp:body_style
|
Mathematical background
|
|
gptkbp:contains
|
gptkb:Markov_Chain_Monte_Carlo
data visualization
probabilistic programming
Bayesian modeling
Python code examples
|
|
gptkbp:covered_by
|
Bayesian inference
|
|
gptkbp:format
|
online book
|
|
gptkbp:has_content
|
gptkb:battle
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Bayesian Methods for Hackers
|
|
gptkbp:is_available_in
|
gptkb:standard
HTML format
e Pub format
|
|
gptkbp:is_available_on
|
gptkb:Kobo
gptkb:Google_Books
gptkb:Barnes_&_Noble
gptkb:archive
gptkb:book
|
|
gptkbp:is_cited_in
|
research papers
|
|
gptkbp:is_part_of
|
Data Science community
Data Science series
Open source literature
|
|
gptkbp:is_related_to
|
Data analysis
Data science
Machine learning
Statistics
Computational statistics
|
|
gptkbp:is_reviewed_by
|
gptkb:academic_journal
|
|
gptkbp:is_used_for
|
Learning statistics
Practical applications in data science
Teaching Bayesian methods
|
|
gptkbp:is_used_in
|
academic courses
|
|
gptkbp:isbn
|
978-1491947220
|
|
gptkbp:language
|
English
|
|
gptkbp:next_edition
|
First edition
|
|
gptkbp:provides
|
practical examples
|
|
gptkbp:published_by
|
gptkb:O'_Reilly_Media
|
|
gptkbp:published_year
|
gptkb:2015
|
|
gptkbp:subject
|
gptkb:television_channel
|
|
gptkbp:suitable_for
|
data science professionals
|
|
gptkbp:target_audience
|
data scientists
|
|
gptkbp:training
|
gptkb:battle
|
|
gptkbp:translated_into
|
gptkb:French
gptkb:Japanese
gptkb:Spanish
gptkb:Native_American_tribe
Chinese
|