Bayesian Optimization Theory And Practice Using Python - Peng Liu - Paperback - en Book

¥12,290
+ ¥3,299 Shipping
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Bayesian Optimization Theory And Practice Using Python - Peng Liu - Paperback - en Book

Bayesian Optimization Theory And Practice Using Python - Peng Liu - Paperback - en Book

  • Brand: Unbranded
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Bayesian Optimization Theory And Practice Using Python - Peng Liu - Paperback - en Book

  • Brand: Unbranded

¥12,290

In stock
+ ¥3,299 Shipping

14-Day Returns Policy

Sold by:

¥12,290

In stock
+ ¥3,299 Shipping

14-Day Returns Policy

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Description

Bayesian Optimization Theory And Practice Using Python - Peng Liu - Paperback - en Book

This Book Covers The Essential Theory And Implementation Of Popular Bayesian Optimization Techniques In An Intuitive And Well-illustrated Manner. The Techniques Covered In This Book Will Enable You To Better Tune The Hyperparemeters Of Your Machine Learning Models And Learn Sample-efficient Approaches To Global Optimization.the Book Begins By Introducing Different Bayesian Optimization (bo) Techniques, Covering Both Commonly Used Tools And Advanced Topics. It Follows A Develop From Scratch Method Using Python, And Gradually Builds Up To More Advanced Libraries Such As Botorch, An Open-source Project Introduced By Facebook Recently.
  • Brand: Unbranded
  • Category: Computing & Internet
  • Format: Paperback
  • Language: en
  • Length: 252
  • Publisher / Label: Springer Nature B.V
  • Author: Peng Liu
  • Fruugo ID: 491683475-1015260560
  • ISBN: 9781484290620

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