40 Machine Learning Algorithms

Par : Anam Giri
Offrir maintenant
Ou planifier dans votre panier
Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format ePub est :
  • Compatible avec une lecture sur My Vivlio (smartphone, tablette, ordinateur)
  • Compatible avec une lecture sur liseuses Vivlio
  • Pour les liseuses autres que Vivlio, vous devez utiliser le logiciel Adobe Digital Edition. Non compatible avec la lecture sur les liseuses Kindle, Remarkable et Sony
Logo Vivlio, qui est-ce ?

Notre partenaire de plateforme de lecture numérique où vous retrouverez l'ensemble de vos ebooks gratuitement

Pour en savoir plus sur nos ebooks, consultez notre aide en ligne ici
C'est si simple ! Lisez votre ebook avec l'app Vivlio sur votre tablette, mobile ou ordinateur :
Google PlayApp Store
  • FormatePub
  • ISBN8230146261
  • EAN9798230146261
  • Date de parution03/01/2025
  • Protection num.pas de protection
  • Infos supplémentairesepub
  • ÉditeurIndependently Published

Résumé

40 Machine Learning Algorithms takes you on a journey through the essential algorithms that power modern AI and data science. Whether you're just starting out or already working in the field, this book breaks down 40 key machine learning algorithms, explaining how they work, what problems they solve, and how you can use them in your own projects. From the basics of linear regression to the complexities of deep learning, you'll gain a clear understanding of these powerful tools, enabling you to tackle real-world challenges with confidence.
This book is designed to not only help you grasp the theory behind each algorithm but also inspire you to experiment and apply them in your own data-driven endeavors.
40 Machine Learning Algorithms takes you on a journey through the essential algorithms that power modern AI and data science. Whether you're just starting out or already working in the field, this book breaks down 40 key machine learning algorithms, explaining how they work, what problems they solve, and how you can use them in your own projects. From the basics of linear regression to the complexities of deep learning, you'll gain a clear understanding of these powerful tools, enabling you to tackle real-world challenges with confidence.
This book is designed to not only help you grasp the theory behind each algorithm but also inspire you to experiment and apply them in your own data-driven endeavors.