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:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Publishing,
2018.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| 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: | 1 online resource (1 volume) : illustrations |
| ISBN: | 1789809207 9781789809206 |
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| spelling | Nagy, Zsolt, author. Artificial intelligence and machine learning fundamentals / Zsolt Nagy. Birmingham, UK : Packt Publishing, 2018. 1 online resource (1 volume) : illustrations text txt rdacontent computer c rdamedia online resource 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. http://id.loc.gov/authorities/subjects/sh85079324 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Apprentissage automatique. Intelligence artificielle. Réseaux neuronaux (Informatique) Python (Langage de programmation) artificial intelligence. aat COMPUTERS General. bisacsh Artificial intelligence fast Machine learning fast Neural networks (Computer science) fast Python (Computer program language) fast has work: Artificial Intelligence and Machine Learning Fundamentals (Text) https://id.oclc.org/worldcat/entity/E39PCYVpCrPmRvC4vbW4JWxbV3 https://id.oclc.org/worldcat/ontology/hasWork FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1984911 Volltext |
| spellingShingle | Nagy, Zsolt Artificial intelligence and machine learning fundamentals / Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Apprentissage automatique. Intelligence artificielle. Réseaux neuronaux (Informatique) Python (Langage de programmation) artificial intelligence. aat COMPUTERS General. bisacsh Artificial intelligence fast Machine learning fast Neural networks (Computer science) fast Python (Computer program language) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85079324 http://id.loc.gov/authorities/subjects/sh85008180 http://id.loc.gov/authorities/subjects/sh90001937 http://id.loc.gov/authorities/subjects/sh96008834 https://id.nlm.nih.gov/mesh/D001185 https://id.nlm.nih.gov/mesh/D016571 https://id.nlm.nih.gov/mesh/D000069550 |
| 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. http://id.loc.gov/authorities/subjects/sh85079324 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Apprentissage automatique. Intelligence artificielle. Réseaux neuronaux (Informatique) Python (Langage de programmation) artificial intelligence. aat COMPUTERS General. bisacsh Artificial intelligence fast Machine learning fast Neural networks (Computer science) fast Python (Computer program language) fast |
| 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. Artificial intelligence Machine learning |
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