Felix's Library
  • Advanced Search
  • Switch Theme
  • Refresh Library
  • Guest

  • Browse
  • Books
  • Shelves

Discover (Random Books)

Hyperparameter Optimization in Machine Learning

Hyperparameter Optimization in Machine Learning

Luca Franceschi

Elements of Programming Interviews: The Insiders' Guide

Elements of Programming Interviews: The Insiders' Guide

Adnan Aziz & Tsung-Hsien Lee & Amit Prakash

Proofs and Refutations: The Logic of Mathematical Discovery

Proofs and Refutations: The Logic of Mathematical Discovery

Imre Lakatos

Filtering and System Identification: A Least Squares Approach

Filtering and System Identification: A Least Squares Approach

Michel Verhaegen & Vincent Verdult

Publisher: Now Publishers

Proximal Algorithms

Proximal Algorithms

Neal Parikh & Stephen P. Boyd & Now Publishers

Proximal Algorithms

Proximal Algorithms

Neal Parikh & Stephen P. Boyd & Now Publishers

Non-Convex Optimization for Machine Learning

Non-Convex Optimization for Machine Learning

Prateek Jain & Purushottam Kar

Non-Convex Optimization for Machine Learning

Non-Convex Optimization for Machine Learning

Prateek Jain & Purushottam Kar

Book Details

...