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

Training Data for Machine Learning Models (for True Epub) by Anthony Sarkis instant download

  • SKU: EBN-235031962
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

4.9

5 reviews
Instant download (eBook) Training Data for Machine Learning Models (for True Epub) after payment.
Authors:Anthony Sarkis
Year:2021
Publisher:O'Reilly Media, Inc.
Language:english
File Size:7.82 MB
Format:pdf
Categories: Ebooks

Product desciption

Training Data for Machine Learning Models (for True Epub) by Anthony Sarkis instant download

Your training data has as much to do with the success of your data project as the algorithms themselves--most failures in deep learning systems relate to training data. But while training data is the foundation for successful machine learning, there are few comprehensive resources to help you ace the process. This hands-on guide explains how to work with and scale training data. This book will give data science professionals and machine learning engineers a solid understanding of the concepts, tools, and processes involved.
*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products