An Introduction to Optimization by J.P. Wheeler (.PDF)

Posted on by

File Size: 22.4 MB

An Introduction to Optimization with Applications in Machine Learning and Data Analytics by Jeffrey Paul Wheeler
Requirements: .PDF reader, 22.4 MB
Overview: The primary goal of this text is a practical one. Equipping students with enough knowledge and creating an independent research platform, the author strives to prepare students for professional careers. Providing students with a marketable skill set requires topics from many areas of optimization. The initial goal of this text is to develop a marketable skill set for mathematics majors as well as for students of engineering, Computer Science, economics, statistics, and business. Optimization reaches into many different fields. Many of the problems rely on using a computer. Microsoft’s Excel is most often used, as this is common in business, but Python and other languages are considered. The consideration of other programming languages permits experienced mathematics and engineering students to use MATLAB or Mathematica, and the computer science students to write their own programs in Java or Python.
Genre: Non-Fiction > Tech & Devices

Free Download links:

https://trbbt.net/nvpv4ypqx4tv.html

https://katfile.com/nkemg9su3g3j/An_Introduction_to_Optimization_with_Applications_in_ML.pdf.html