Advanced analytics with PySpark : (Record no. 91105)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01942nam a22002177a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 231103b2022 |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789355422804 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.312 TAN-A |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Tandon, Akash |
| 245 ## - TITLE STATEMENT | |
| Title | Advanced analytics with PySpark : |
| Remainder of title | patterns for learning from data at scale using Python and Spark / |
| Statement of responsibility, etc. | Akash Tandon and others |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | India |
| Name of publisher, distributor, etc. | Shroff Publishers |
| Date of publication, distribution, etc. | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 220 p. |
| 500 ## - GENERAL NOTE | |
| General note | The amount of data being generated today is staggering and growing. Apache Spark has emerged as the de facto tool to analyze big data and is now a critical part of the data science toolbox. Updated for Spark 3.0, this practical guide brings together Spark, statistical methods, and real-world datasets to teach you how to approach analytics problems using PySpark, Spark's Python API, and other best practices in Spark programming.<br/><br/>Data scientists Akash Tandon, Sandy Ryza, Uri Laserson, Sean Owen, and Josh Wills offer an introduction to the Spark ecosystem, then dive into patterns that apply common techniques-including classification, clustering, collaborative filtering, and anomaly detection, to fields such as genomics, security, and finance. This updated edition also covers NLP and image processing.<br/><br/>If you have a basic understanding of machine learning and statistics and you program in Python, this book will get you started with large-scale data analysis.<br/><br/>Familiarize yourself with Spark's programming model and ecosystem<br/>Learn general approaches in data science<br/>Examine complete implementations that analyse large public datasets<br/>Discover which machine learning tools make sense for particular problems<br/>Explore code that can be adapted to many uses. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Python (Computer program language) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Spark (Electronic resource) |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ryza, Sandy |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Laserson, Uri |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Owen, Sean |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Wills, Josh |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
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| Dewey Decimal Classification | 003-007 | BITS Pilani Hyderabad | BITS Pilani Hyderabad | General Stack (For lending) | 03/11/2023 | 006.312 TAN-A | 47398 | 13/07/2024 | 03/11/2023 | Books |