Hallo! Tracked shipping to Netherlands with Delivery Duty Paid for just €7 

Ship to
Netherlands
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Exploring Optimization Algorithms in Machine Learning: From Theory to Practice
Type
Physical Book
Publisher
Author
Language
English
Pages
340
Format
Paperback
ISBN13
9783384275837

Exploring Optimization Algorithms in Machine Learning: From Theory to Practice

Kinky (Author) · Tredition Gmbh · Paperback

Exploring Optimization Algorithms in Machine Learning: From Theory to Practice - Kinky

Cheaper New Book Imported to Netherlands
Delivery: 01 Sep - 08 Sep Shipping: 16 to 20 business days.
€ 31,57
Faster New Book Imported to Netherlands
Delivery: 26 Aug - 28 Aug Shipping: 13 to 14 business days.
€ 35,65
Import costs and 9% BTW included in the price ✅
€ 31,57

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Exploring Optimization Algorithms in Machine Learning: From Theory to Practice"

Optimization algorithms in machine learning bridge theoretical foundations with practical applications, crucial for refining model performance. Techniques like gradient descent, stochastic gradient descent (SGD), and advanced methods such as Adam and RMSprop optimize model parameters to minimize error and enhance accuracy. Theoretical understanding encompasses concepts like convexity, convergence criteria, and adaptive learning rates, essential for algorithm selection based on dataset characteristics. In practice, implementing these algorithms involves tuning hyperparameters and assessing trade-offs between computational efficiency and model effectiveness across diverse datasets. Recent innovations, including meta-heuristic algorithms like genetic algorithms, further expand optimization capabilities for complex, non-linear problems. Mastering optimization algorithms empowers practitioners to navigate challenges in model training and deployment effectively, ensuring robust performance in real-world applications. This comprehensive understanding supports innovation in machine learning, driving advancements in various fields from healthcare to finance and beyond.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews