LEADER 03039nam 2200421 450 001 9910815950003321 005 20190215014057.0 010 $a1-78980-920-7 035 $a(CKB)4100000007267199 035 $a(MiAaPQ)EBC5620491 035 $a(CaSebORM)9781789801651 035 $a(PPN)234148004 035 $a(EXLCZ)994100000007267199 100 $a20190131d2018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial intelligence and machine learning fundamentals $edevelop real-world applications powered by the latest AI advances /$fZsolt Nagy 205 $a1st edition 210 1$aBirmingham :$cPackt,$d2018. 215 $a1 online resource (311 pages) 311 $a1-78980-165-6 330 $aCreate 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). 606 $aArtificial intelligence 606 $aMachine learning 615 0$aArtificial intelligence. 615 0$aMachine learning. 676 $a006.3 700 $aNagy$b Zsolt$01059594 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910815950003321 996 $aArtificial intelligence and machine learning fundamentals$93992796 997 $aUNINA