Thông tin tài liệu


Nhan đề : Machine Learning Infrastructure and Best Practices for Software Engineers : Take Your Machine Learning Software from a Prototype to a Fully Fledged Software System
Tác giả : Miroslaw Staron Tác giả: Staron, Miroslaw
Chủ đề : Machine learning | Software systems | Thuật toán | Hệ thống phần mềm
Năm xuất bản : 2024
Tóm tắt : The book begins by introducing the main concepts of professional software systems that leverage machine learning at their core. As you progress, you'll explore the differences between traditional, non-ML software, and machine learning software. The initial best practices will guide you in determining the type of software you need for your product. Subsequently, you will delve into algorithms, covering their selection, development, and testing before exploring the intricacies of the infrastructure for machine learning systems by defining best practices for identifying the right data source and ensuring its quality.
URI: http://thuvienso.thanglong.edu.vn//handle/TLU/11749
Bộ sưu tậpTin học
XEM MÔ TẢ

12

XEM & TẢI

0

Danh sách tệp tin đính kèm:
Ảnh bìa
  • TVS.006912_Miroslaw Staron - Machine Learning Infrastructure and Best Practices for Software Engineers-Packt Publishing (2024).pdf
      Restricted Access
  • Đăng nhập để đọc nội dung file
    • Dung lượng : 14,03 MB

    • Định dạng : Adobe PDF