Deep Learning For Dummies
John Paul / Massaron Mueller
Résumé
Take a deep dive into deep learning
Deep learning provides the means for discerning patterns in the data that drive online business and social media outlets. Deep Learning for Dummies gives you the information you need to take the mystery out of the topic--and all of the underlying technologies associated with it.
In no time, you'll make sense of those increasingly confusing algorithms, and find a simple and safe environment to experiment with deep learning. The book develops a sense of precisely what deep learning can do at a high level and then provides examples of the major deep learning application types.
- Includes sample code
- Provides real-world examples within the approachable text
- Offers hands-on activities to make learning easier
- Shows you how to use Deep Learning more effectively with the right tools
This book is perfect for those who want to better understand the basis of the underlying technologies that we use each and every day.
John Mueller is a freelance author and technical editor. He has writing in his blood, having produced 108 books and more than 600 articles to date. The topics range from networking to home security and from database management to heads-down programming. Some of his current books include AI for Dummies, Python for Data Science for Dummies, Machine Learning for Dummies, and Algorithms for Dummies, all of which require some knowledge of AI.
Luca Massaron is a data scientist specialized in organizing and interpreting big data and transforming it into smart data by means of the simplest and most effective data mining and machine learning techniques. Because of his job as a quantitative marketing consultant and marketing researcher, he has been involved in quantitative data since 2000 with different clients and in various industries.
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Wiley |
| Auteur(s) | John Paul / Massaron Mueller |
| Parution | 16/05/2019 |
| Nb. de pages | 320 |
| EAN13 | 9781119543046 |
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