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The Resource Data science from scratch : first principles with Python, Joel Grus

Data science from scratch : first principles with Python, Joel Grus

Label
Data science from scratch : first principles with Python
Title
Data science from scratch
Title remainder
first principles with Python
Statement of responsibility
Joel Grus
Creator
Author
Subject
Genre
Language
eng
Summary
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. In this book, you'll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today's messy glut of data holds answers to questions no one's even thought to ask. This book provides you with the know-how to dig those answers out.Get a crash course in PythonLearn the basics of linear algebra, statistics, and probability--and understand how and when they're used in data scienceCollect, explore, clean, munge, and manipulate dataDive into the fundamentals of machine learningImplement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clusteringExplore recommender systems, natural language processing, network analysis, MapReduce, and databases
Cataloging source
N$T
http://library.link/vocab/creatorName
Grus, Joel
Dewey number
005.7565
Index
no index present
LC call number
QA76.9.D3
LC item number
G78 2015eb
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/subjectName
  • Python (Computer program language)
  • Database management
  • Data structures (Computer science)
  • Data mining
  • Data mining
  • Data science
  • BUSINESS & ECONOMICS / Management
  • BUSINESS & ECONOMICS / Reference
  • BUSINESS & ECONOMICS / Skills
  • Electronic books
Label
Data science from scratch : first principles with Python, Joel Grus
Link
Instantiates
Publication
Note
Includes index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- A crash course in Python -- Visualizing data -- Linear algebra -- Statistics -- Probability -- Hypothesis and inference -- Gradient descent -- Getting data -- Working with data -- Machine learning -- k-Nearest neighbors -- Naive bayes -- Simple linear regression -- Multiple regression -- Logistic regression -- Decision trees -- Neural networks -- Clustering -- Natural language processing -- Network analysis -- Recommender systems -- Databases and SQL -- MapReduce -- Go forth and do data science
Control code
ocn907532468
Dimensions
unknown
Edition
First edition.
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9781491904404
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
Stock number
72FAE62A-B876-4BE1-8202-446C18BA55FA
System control number
(OCoLC)907532468
Label
Data science from scratch : first principles with Python, Joel Grus
Link
Publication
Note
Includes index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- A crash course in Python -- Visualizing data -- Linear algebra -- Statistics -- Probability -- Hypothesis and inference -- Gradient descent -- Getting data -- Working with data -- Machine learning -- k-Nearest neighbors -- Naive bayes -- Simple linear regression -- Multiple regression -- Logistic regression -- Decision trees -- Neural networks -- Clustering -- Natural language processing -- Network analysis -- Recommender systems -- Databases and SQL -- MapReduce -- Go forth and do data science
Control code
ocn907532468
Dimensions
unknown
Edition
First edition.
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9781491904404
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
Stock number
72FAE62A-B876-4BE1-8202-446C18BA55FA
System control number
(OCoLC)907532468
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