logo
Product categories

EbookNice.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link.  https://ebooknice.com/page/post?id=faq


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookNice Team

(Ebook) Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples by Mukhopadhyay, Sayan ISBN 9781484234495, 1484234499

  • SKU: EBN-55670484
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.8

34 reviews
Instant download (eBook) Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples after payment.
Authors:Mukhopadhyay, Sayan
Pages:201 pages.
Year:2018
Editon:1st ed.
Publisher:Apress
File Size:2.11 MB
Format:pdf
ISBNS:9781484234495, 1484234499
Categories: Ebooks

Product desciption

(Ebook) Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples by Mukhopadhyay, Sayan ISBN 9781484234495, 1484234499

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 examples of machine learning concepts such as semi-supervised learning, deep learning, and NLP. Advanced Data Analytics Using Python also covers important traditional data analysis techniques such as time series and principal component analysis. After reading this book you will have experience of every technical aspect of an analytics project. You’ll get to know the concepts using Python code, giving you samples to use in your own projects. What You Will Learn Work with data analysis techniques such as classification, clustering, regression, and forecasting Handle structured and unstructured data, ETL techniques, and different kinds of databases such as Neo4j, Elasticsearch, MongoDB, and MySQL Examine the different big data frameworks, including Hadoop and Spark Discover advanced machine learning concepts such as semi-supervised learning, deep learning, and NLP Who This Book Is For Data scientists and software developers interested in the field of data analytics.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products