Artificial intelligence and machine learning fundamentals / Zsolt Nagy
نوع المادة : نصاللغة: الإنجليزية الناشر:Birmingham, UK : Packt Publishing, 2018وصف:[xvi], 310 pages: illustrations ; 24 cmنوع المحتوى:- text
- unmediated
- volume
- 9781789809206
- 9781789801651
- Q325.5 .N349 2018
نوع المادة | المكتبة الحالية | رقم الطلب | رقم النسخة | حالة | تاريخ الإستحقاق | الباركود | |
---|---|---|---|---|---|---|---|
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | Q325.5 .N349 2018 (إستعراض الرف(يفتح أدناه)) | C.1 | Library Use Only | داخل المكتبة فقط | 30020000208781 | ||
كتاب | UAE Federation Library | مكتبة اتحاد الإمارات General Collection | المجموعات العامة | Q325.5 .N349 2018 (إستعراض الرف(يفتح أدناه)) | C.2 | المتاح | 30020000208780 |
Browsing UAE Federation Library | مكتبة اتحاد الإمارات shelves, Shelving location: General Collection | المجموعات العامة إغلاق مستعرض الرف(يخفي مستعرض الرف)
Q325.5 .M6653 2019 Learn Keras for deep neural networks : a fast-track approach to modern deep learning with Python / | Q325.5 .M87 2012 Machine learning : a probabilistic perspective / | Q325.5 .M87 2012 Machine learning : a probabilistic perspective / | Q325.5 .N349 2018 Artificial intelligence and machine learning fundamentals / | Q325.5 .N349 2018 Artificial intelligence and machine learning fundamentals / | Q325.5 .N577 2018 The NIPS '17 competition: building intelligent systems / | Q325.5 .N577 2018 The NIPS '17 competition: building intelligent systems / |
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