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006.31
006.3 Library items with class number 006.31
Make a suggestion Refine your searchBuilding intelligent systems / Geoff Hulten
Title : Building intelligent systems : a guide to machine learning in practice Material Type: printed text Authors: Geoff Hulten, Author Publisher: New York : Apress Publication Date: 2018 Pagination: xxvi, 339 p. Size: 26 cm ISBN (or other code): 978-1-484-23431-0 General note: Includes index (p. 331-339) Languages : English (eng) Original Language : English (eng) Descriptors: Artificial intelligence
Computer science
Data processing
Machine learningClass number: 006.31 Abstract: "Building intelligent systems"- Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success. This book teaches you how to build an Intelligent System from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems. Building Intelligent Systems is based on more than a decade of experience building Internet-scale Intelligent Systems that have hundreds of millions of user interactions per day in some of the largest and most important software systems in the world. What You'll Learn Understand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for success Design an intelligent user experience: Produce data to help make the Intelligent System better over time Implement an Intelligent System: Execute, manage, and measure Intelligent Systems in practice Create intelligence: Use different approaches, including machine learning Orchestrate an Intelligent System: Bring the parts together throughout its life cycle and achieve the impact you want Who This Book Is For Software engineers, machine learning practitioners, and technical managers who want to build effective intelligent systems Contents note: Introduction; Approaching an intelligent systems project; Intelligent experiences; Implementing intelligence; Creating intelligence; Orchestrating intelligence systems; Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=18075 Hold
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Barcode Call number Media type Location Section Status 1702-002334 006.31 Hul-Bui 2018 General Collection Library "Max van der Stoel" English Available 1702-002327 006.31 Hul-Bui 2018 General Collection SEEU Library Skopje English Available
Title : The hundred-page machine learning book Material Type: printed text Authors: Andriy Burkov, Author Publisher: (Author) Publication Date: 2019 Pagination: xviii, 141 p. Layout: ill. Size: 24 cm ISBN (or other code): 978-1-999579-50-0 General note: Includes index Languages : English (eng) Original Language : English (eng) Descriptors: Machine learning
Materials science - Data processingClass number: 006.31 Abstract: Provides a practical guide to get started and execute on machine learning within a few days without necessarily knowing much about machine learning. The first five chapters are enough to get you started and the next few chapters provide you a good feel of more advanced topics to pursue. Contents note: Notation and definitions; Fundamental algorithms; Anatomy of a learning algorithm; Basic practice; Neural networks and deep learning; Problems and solutions; Advanced practice; Unsupervised learning; Other forms of learning; Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=21500 Hold
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Barcode Call number Media type Location Section Status 1702-002653 006.31 Bur-Hun 2019 General Collection SEEU Library Skopje English Available
Title : Python machine learning cookbook : 100 recipes that teach you how to perform various machine learning tasks in the real world Material Type: printed text Authors: Prateek Joshi, Author Publisher: Birmingham : Packt Publishing Publication Date: 2016 Pagination: x, 286 p. Layout: ill. Size: 24 cm ISBN (or other code): 978-1-7864-6447-7 General note: Includes index Languages : English (eng) Original Language : English (eng) Descriptors: Machine learning
Python (Computer program language)Class number: 006.31 Abstract: With Python Machine Learning Cookbook, you will learn how to perform carious machine learning tasks in different environments. We’ll start by exploring a range of real-life scenarios where machine learning can be used, and look at various building blocks. Throughout the book, you’ll use a wide variety of machine learning algorithm to solve real-world problems and use Python to implement these algorithms.
You’ll discover how to deal with various types of data and explore the differences between machine learning paradigms such as supervised and unsupervised learning. We also cover a range of regression techniques, classification algorithm, predictive modeling, data visualization techniques, recommendation engines, and more with the help of real-worlds examples.Contents note: The realm of supervised learning; Constructing a classifier; Predictive modeling; Clustering with unsupervised learning; Building recommendation engines; Analyzing text data; Speech recognition; Dissecting time series and sequential data; Image content analysis; Biometric face recognition; Deep neural networks; Visualizing data; Index; Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=17508 Copies
Barcode Call number Media type Location Section Status 1702-002415 006.31 Jos-Pyt 2016 General Collection SEEU Library Skopje English Not for loan
