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) Thoughtful Machine Learning with Python: A Test-Driven Approach by Matthew Kirk ISBN 9781491924136, 1491924136

  • SKU: EBN-5718144
Zoomable Image
$ 32 $ 40 (-20%)

Status:

Available

5.0

23 reviews
Instant download (eBook) Thoughtful Machine Learning with Python: A Test-Driven Approach after payment.
Authors:Matthew Kirk
Pages:216 pages.
Year:2017
Editon:1
Publisher:O’Reilly Media
Language:english
File Size:4.76 MB
Format:mobi
ISBNS:9781491924136, 1491924136
Categories: Ebooks

Product desciption

(Ebook) Thoughtful Machine Learning with Python: A Test-Driven Approach by Matthew Kirk ISBN 9781491924136, 1491924136

Gain the confidence you need to apply machine learning in your daily work. With this practical guide, author Matthew Kirk shows you how to integrate and test machine learning algorithms in your code, without the academic subtext.

Featuring graphs and highlighted code examples throughout, the book features tests with Python’s Numpy, Pandas, Scikit-Learn, and SciPy data science libraries. If you’re a software engineer or business analyst interested in data science, this book will help you:

  • Reference real-world examples to test each algorithm through engaging, hands-on exercises
  • Apply test-driven development (TDD) to write and run tests before you start coding
  • Explore techniques for improving your machine-learning models with data extraction and feature development
  • Watch out for the risks of machine learning, such as underfitting or overfitting data
  • Work with K-Nearest Neighbors, neural networks, clustering, and other algorithms

*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

Related Products