Statements (54)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
book
|
| gptkbp:author |
gptkb:Joel_Grus
|
| gptkbp:availableIn |
gptkb:Amazon
gptkb:Google_Books gptkb:Barnes_&_Noble gptkb:Apple_Books |
| gptkbp:description |
A hands-on guide to learning data science.
|
| gptkbp:format |
Print
Audiobook eBook |
| gptkbp:hasContent |
Introduction
Conclusion Chapter_1:_A_Crash_Course_in_Python Chapter_2:_Visualizing_Data Chapter_3:_Probability Chapter_4:_Statistics Chapter_5:_Hypothesis_Testing Chapter_6:_Machine_Learning Chapter_7:_Neural_Networks Chapter_8:_Natural_Language_Processing Chapter_9:_Data_Science_Projects |
| https://www.w3.org/2000/01/rdf-schema#label |
Data Science from Scratch
|
| gptkbp:ISBN |
978-1492041139
|
| gptkbp:language |
English
|
| gptkbp:pageCount |
400
|
| gptkbp:publisher |
gptkb:O'Reilly_Media
|
| gptkbp:relatedTo |
Artificial Intelligence
Data Analysis Data Mining Data Privacy Data Security Data Visualization Deep Learning Machine Learning Natural Language Processing Predictive Analytics Programming Statistics Data Engineering Data Governance Data Storytelling Data Wrangling Data Strategy Data Ethics Big_Data Business_Intelligence Data_Quality Data_Architecture |
| gptkbp:releaseYear |
2019
|
| gptkbp:reviews |
4.5/5
|
| gptkbp:subject |
Data_Science
|
| gptkbp:targetAudience |
Professionals
Students Beginners |