Advanced data analytics using Python / (Record no. 44553)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01574nam a22001935i 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781484234495 (hard : alk. paper) |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.133 |
| Item number | MUK |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Mukhopadhyay, Sayan |
| 245 00 - TITLE STATEMENT | |
| Title | Advanced data analytics using Python / |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | [New York?] : |
| Name of publisher | Apress, |
| Year of publication | ©2018 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 186 pages : |
| 500 ## - GENERAL NOTE | |
| General note | Includes index. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Introduction --<br/>ETL with Python (structured data) --<br/>Supervised learning using Python --<br/>Unsupervised learning : clustering --<br/>Deep learning and neural networks --<br/>Time series --<br/>Analytics at scale. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniques including topical crawling, which is applied in domains such as high-frequency algorithmic trading and goal-oriented dialog systems. You'll also see practical examples of machine learning concepts such as semi-supervised learning, deep learning, computer vision and NLP. Practical Data Analytics with Python also covers important traditional data analysis techniques such as time series, principal component analysis through examples from real industry projects. After reading this book you will have experience of every technical aspect of an industrial analytics project. You'll get to know the concepts using Python code, thoroughly explained in each case."-- |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Python (Computer program language) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Machine learning. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Data mining. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Reference Books |
| Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Koha item type |
|---|---|---|---|---|---|---|---|---|---|
| Reference | Main Library | Main Library | Reference | 24/05/2019 | Purchased | 6815.00 | 005.133 MUK | 015849 | Reference Books |