The data science handbook / (Record no. 7888)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02018cam a22002538i 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251224142607.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 241022t20252025nju obf 001 0 eng c |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781394234509 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781394234516 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.74 |
| Item number | CadD |
| 100 1# - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Cady, Field |
| 245 14 - TITLE STATEMENT | |
| Title | The data science handbook / |
| Statement of responsibility, etc | Field Cady |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2nd ed. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Introduction -- The Data Science Road Map -- Programming Languages -- Data Munging: String Manipulation, Regular Expressions, and Data Cleaning -- Visualizations and Simple Metrics -- AI and Machine Learning Overview -- Interlude: Feature Extraction Ideas -- Machine Learning Classification -- Technical Communication and Documentation -- Unsupervised Learning: Clustering and Dimensionality Reduction -- Regression -- Data Encodings and File Formats -- Big Data -- Databases -- Software Engineering Best Practices -- Traditional Natural Language Processing -- Time Series Analysis -- Probability -- Statistics -- Programming Language Concepts -- Performance and Computer Memory -- Computer Memory and Data Structures -- Maximum Likelihood Estimation and Optimization -- Deep Learning and AI -- Stochastic Modeling -- Parting Words: Your Future as a Data Scientist. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "The goal of this book is to turn you into a data scientist, and there are two parts to this mission. Firstly there is a set of specific concepts, tools and techniques that you can go out and solve problems with today. They include buzzwords such machine learning, Spark and NLP. They also include concepts that are distinctly less sexy but often more useful, like regular expressions, unit tests and SQL queries. It would be impossible to give an exhaustive list in any single book, but I cast a wide net"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Databases |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Statistics |
| General subdivision | Data processing |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Big data |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Information theory |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/servlet/opac?bknumber=10766879 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | E-Books |
| Withdrawn status | Lost status | Damaged status | Home library | Current library | Date acquired | Full call number | Accession Number | Bill Date/Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|
| Indian Institute of Technology Tirupati | Indian Institute of Technology Tirupati | 24/12/2025 | 005.74 CadD | EB00815 | 24/12/2025 | E-Books |