Artificial intelligence and machine learning fundamentals:
Create AI applications in Python and lay the foundations for your career in data science Key Features Practical examples that explain key machine learning algorithms Explore neural networks in detail with interesting examples Master core AI concepts with engaging activities Book Description Machine...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Birmingham, UK
Packt Publishing
2018
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| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781789801651/?ar |
| Zusammenfassung: | Create AI applications in Python and lay the foundations for your career in data science Key Features Practical examples that explain key machine learning algorithms Explore neural networks in detail with interesting examples Master core AI concepts with engaging activities Book Description Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills! What you will learn Understand the importance, principles, and fields of AI Implement basic artificial intelligence concepts with Python Apply regression and classification concepts to real-world problems Perform predictive analysis using decision trees and random forests Carry out clustering using the k-means and mean shift algorithms Understand the fundamentals of deep learning via practical examples Who this book is for Artificial Intelligence and Machine Learning Fundamentals is for software developers and data scientists who want to enrich their projects with machine learning. You do not need any prior experience in AI. However, it's recommended that you have knowledge of high school-level mathematics and at least one programming language (preferably Python). Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you. |
| Beschreibung: | Online resource; title from copyright page (Safari, viewed February 11, 2019) |
| Umfang: | 1 Online-Ressource (1 volume) illustrations |
| ISBN: | 1789809207 9781789809206 9781789801651 |
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| spelling | Nagy, Zsolt VerfasserIn aut Artificial intelligence and machine learning fundamentals Zsolt Nagy Birmingham, UK Packt Publishing 2018 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from copyright page (Safari, viewed February 11, 2019) Create AI applications in Python and lay the foundations for your career in data science Key Features Practical examples that explain key machine learning algorithms Explore neural networks in detail with interesting examples Master core AI concepts with engaging activities Book Description Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills! What you will learn Understand the importance, principles, and fields of AI Implement basic artificial intelligence concepts with Python Apply regression and classification concepts to real-world problems Perform predictive analysis using decision trees and random forests Carry out clustering using the k-means and mean shift algorithms Understand the fundamentals of deep learning via practical examples Who this book is for Artificial Intelligence and Machine Learning Fundamentals is for software developers and data scientists who want to enrich their projects with machine learning. You do not need any prior experience in AI. However, it's recommended that you have knowledge of high school-level mathematics and at least one programming language (preferably Python). Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the files e-mailed directly to you. Machine learning Artificial intelligence Neural networks (Computer science) Python (Computer program language) Artificial Intelligence Neural Networks, Computer Machine Learning Apprentissage automatique Intelligence artificielle Réseaux neuronaux (Informatique) Python (Langage de programmation) artificial intelligence COMPUTERS ; General |
| spellingShingle | Nagy, Zsolt Artificial intelligence and machine learning fundamentals Machine learning Artificial intelligence Neural networks (Computer science) Python (Computer program language) Artificial Intelligence Neural Networks, Computer Machine Learning Apprentissage automatique Intelligence artificielle Réseaux neuronaux (Informatique) Python (Langage de programmation) artificial intelligence COMPUTERS ; General |
| title | Artificial intelligence and machine learning fundamentals |
| title_auth | Artificial intelligence and machine learning fundamentals |
| title_exact_search | Artificial intelligence and machine learning fundamentals |
| title_full | Artificial intelligence and machine learning fundamentals Zsolt Nagy |
| title_fullStr | Artificial intelligence and machine learning fundamentals Zsolt Nagy |
| title_full_unstemmed | Artificial intelligence and machine learning fundamentals Zsolt Nagy |
| title_short | Artificial intelligence and machine learning fundamentals |
| title_sort | artificial intelligence and machine learning fundamentals |
| topic | Machine learning Artificial intelligence Neural networks (Computer science) Python (Computer program language) Artificial Intelligence Neural Networks, Computer Machine Learning Apprentissage automatique Intelligence artificielle Réseaux neuronaux (Informatique) Python (Langage de programmation) artificial intelligence COMPUTERS ; General |
| topic_facet | Machine learning Artificial intelligence Neural networks (Computer science) Python (Computer program language) Artificial Intelligence Neural Networks, Computer Machine Learning Apprentissage automatique Intelligence artificielle Réseaux neuronaux (Informatique) Python (Langage de programmation) artificial intelligence COMPUTERS ; General |
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