Data science from scratch : first principles with Python / Joel Grus.
Material type:
TextPublisher: Sebastopol, CA : O'Reilly Media, [2019]Edition: Second editionDescription: xvii, 499 pages : illustrations ; 24 cmContent type: - text
- unmediated
- volume
- 9781492041139
- 1492041130
- 005.75 23
- QA76.73.P98 G78 2019
| Cover image | Item type | Current library | Home library | Collection | Shelving location | Call number | Materials specified | Vol info | URL | Copy number | Status | Notes | Date due | Barcode | Item holds | Item hold queue priority | Course reserves | |
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Books
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CamTech Library | General Collections | 005.75 GRU (Browse shelf(Opens below)) | C.1 | Available | 0000003090 |
Includes bibliographical references and index.
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 -- Deep learning -- Clustering -- Natural language processing -- Network analysis -- Recommender systems -- Databases and SQL -- MapReduce -- Data ethics -- Go forth and do data science.
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