Hands-On Machine Learning with IBM Watson : Leverage IBM Watson to Implement Machine Learning Techniques and Algorithms Using Python
Enregistré dans:
Auteur principal: | Miller, James D.. (Auteur) |
---|---|
Support: | E-Book |
Langue: | Anglais |
Publié: |
Birmingham :
Packt Publishing,
2019.
|
Autres localisations: | Voir dans le Sudoc |
Résumé: | A practical guide on Machine learning with IBM cloud to act as a solid yet concise reference for the readers. You will learn about the role of data representation and feature extraction in machine learning. This book will help you learn how to use the IBM Cloud and Watson Machine learning service to develop real-world machine learning solutions |
Accès en ligne: | Accès à l'E-book |
Documents similaires
-
IBM Watson Solutions for Machine Learning : Achieving Successful Results Across Computer Vision, Natural Language Processing and AI Projects Using Watson Cognitive Tools
par: Ganguly, Arindam. -
IBM Watson projects : eight exciting projects that put artificial intelligence into practice for optimal business performance
par: Miller, James.
Publié: 2018 -
Installation and Configuration of IBM Watson Analytics and StoredIQ : Complete Administration Guide of IBM Watson, IBM Cloud, Red Hat OpenShift, Docker, and IBM StoredIQ
par: Bluck, Alan. -
Cognitive Computing with IBM Watson : Build smart applications using artificial intelligence as a service
par: High, Rob.
Publié: 2019 -
Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits : A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
par: Amr, Tarek (19..-....).
Publié: 2020