Hands–On Machine Learning with Scikit–Learn, Keras, and TensorFlow 3e - Marjane Mall - Image 1
220
00DH
300.00 DH
-27%

Hands–On Machine Learning with Scikit–Learn, Keras, and TensorFlow 3e

Livraison

Détails
Frais de livraison à partir de :
Livraison entre le Samedi 20 juin 2026 et le Lundi 22 juin 2026

À propos de cet article :

Marque : GENERIC
Vendu par KECHBOOK

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python...

1

Mode de paiement

Paiement par carte bancaire
Carte marocaines
Paiement à la livraison
Paiement en espèce à la livraison
Politique de retours
Note de politique de retour
Description produit
Marque
GENERIC
Titre principal
Hands–On Machine Learning with Scikit–Learn, Keras, and TensorFlow 3e
Editeur
O'Reilly Media
Type de produit
paperback
Présentation du livre
paperback
Release date
31 أكتوبر 2022
Langue d'origine
الإنجليزية
ISBN
1098125975
Dimensions
18.42 x 5.08 x 24.13 cm
Langue - Librairie
الإنجليزية
Résumé
Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. With this updated third edition, author Aurélien Géron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started. Use Scikit-learn to track an example ML project end to end Explore several models, including support vector machines, decision trees, random forests, and ensemble methods Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning اقرأ المزيد
Auteur(s)
Aurélien Géron
Date de parution
31 أكتوبر 2022