- Retrait gratuit dans votre magasin Club
- 7.000.000 titres dans notre catalogue
- Payer en toute sécurité
- Toujours un magasin près de chez vous
- Retrait gratuit dans votre magasin Club
- 7.000.000 titres dans notre catalogue
- Payer en toute sécurité
- Toujours un magasin près de chez vous
Python Machine Learning for Beginners: Unsupervised Learning, Clustering, and Dimensionality Reduction. Part 3 EBOOK
Tom Lesley
Ebook | Anglais
4,99 €
+ 4 points
Description
Python Machine Learning for Beginners: Become a Machine Learning Pro with Python. A Beginner's Guide" is an all-in-one guide to get started with the exciting world of machine learning. This book covers all the fundamentals of machine learning, including regression analysis, classification algorithms, clustering, natural language processing, and deep learning, with a focus on practical applications in Python. Whether you're a complete beginner with no prior programming experience or have some experience but are new to machine learning, this book provides a comprehensive and hands-on approach to learning machine learning with Python.
With step-by-step instructions and plenty of real-world examples, this book will help you understand the concepts and techniques required to build and deploy machine learning models. You'll learn how to preprocess and analyze data, evaluate and optimize machine learning models, and deploy them in real-world applications. Along the way, you'll gain a solid understanding of the underlying theory and mathematics of machine learning.
By the end of this book, you'll be able to build and deploy machine learning models that can make predictions, classify data, cluster groups, analyze text, and much more. Whether you're looking to kickstart your career in machine learning, or just want to learn more about this exciting field, "Python Machine Learning for Beginners: Become a Machine Learning Pro with Python. A Beginner's Guide" is the perfect resource to get you started.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Langue:
- Anglais
Caractéristiques
- EAN:
- 9798224643097
- Date de parution :
- 20-04-24
- Format:
- Ebook
- Protection digitale:
- /
- Format numérique:
- ePub
