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You are here: Home ▶ Limited-Time Offers ▶ Hands-On Genetic Algorithms with Python

Hands-On Genetic Algorithms with Python

September 22, 2020

Hands-On Genetic Algorithms with Python

With Hands-On Genetic Algorithms with Python, explore the ins and outs of genetic algorithms with this fast-paced guide. Implement tasks such as feature selection, search optimization, and cluster analysis using Python. (Limited-time offer)

Book Description

  • Section 1: The Basics of Genetic Algorithms
  • An Introduction to Genetic Algorithms
  • Understanding the Key Components of Genetic Algorithms
  • Section 2: Solving Problems with Genetic Algorithms
  • Using the DEAP Framework
  • Combinatorial Optimization
  • Constraint Satisfaction
  • Optimizing Continuous Functions
  • Section 3: Artificial Intelligence Applications of Genetic Algorithms
  • Enhancing Machine Learning Models Using Feature Selection
  • Hyperparameter Tuning of Machine Learning Models
  • Architecture Optimization of Deep Learning Networks
  • Reinforcement Learning with Genetic Algorithms
  • Section 4: Related Technologies
  • Genetic Image Reconstruction
  • Other Evolutionary and Bio-Inspired Computation Techniques

Download Free PDF / Read Online

Author(s): Eyal Wirsansky
Publisher: Packt Publishing
Published: January 31, 2020
Format(s): Online
File size: –
Number of pages: 346
Download / View Link(s): This offer has ended.
Free as of 07/04/2020 09/22/2020.

Similar Books:

  1. Advances in Evolutionary Algorithms
  2. Problem Solving with Algorithms and Data Structures Using Python
  3. Sorting and Searching Algorithms: A Cookbook
  4. A Field Guide to Genetic Programming
  5. Greedy Algorithms
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