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<span xml:lang="en">Hands-On Genetic Algorithms with Python: Apply genetic algorithms to solve real-world AI and machine learning problems</span>

Wirsansky, Eyal

Explore the ever-growing world of genetic algorithms to build and enhance AI applications involving search, optimization, machine learning, deep learning, NLP, and XAI using Python librariesKey FeaturesLearn how to implement genetic algorithms using Python libraries DEAP, scikit-learn, and NumPyTake advantage of cloud computing technology to increase the performance of your solutionsDiscover bio-inspired algorithms such as particle swarm optimization (PSO) and NEATPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionWritten by Eyal Wirsansky, a senior data scientist...

Explore the ever-growing world of genetic algorithms to build and enhance AI applications involving search, optimization, machine learning, deep...

Format

Hands-On Genetic Algorithms with Python

Apply genetic algorithms to solve real-world AI and machine learning problems

Eyal Wirsansky

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