logo

EbookBell.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://ebookbell.com/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.

EbookBell Team

15 Math Concepts Every Data Scientist Should Know David Hoyle

  • SKU: BELL-74148090
15 Math Concepts Every Data Scientist Should Know David Hoyle
$ 31.00 $ 45.00 (-31%)

4.4

52 reviews

15 Math Concepts Every Data Scientist Should Know David Hoyle instant download after payment.

Publisher: Packt Publishing
File Extension: EPUB
File size: 15.31 MB
Author: David Hoyle
Language: English
Year: 2024

Product desciption

15 Math Concepts Every Data Scientist Should Know David Hoyle by David Hoyle instant download after payment.

Create more effective and powerful data science solutions by learning when, where, and how to apply key math principles that drive most data science algorithms

Key Features
  • Understand key data science algorithms with Python-based examples
  • Increase the impact of your data science solutions by learning how to apply existing algorithms
  • Take your data science solutions to the next level by learning how to create new algorithms
  • Purchase of the print or Kindle book includes a free PDF eBook
  • Book DescriptionData science combines the power of data with the rigor of scientific methodology, with mathematics providing the tools and frameworks for analysis, algorithm development, and deriving insights. As machine learning algorithms become increasingly complex, a solid grounding in math is crucial for data scientists. David Hoyle, with over 30 years of experience in statistical and mathematical modeling, brings unparalleled industrial expertise to this...

    Related Products