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Artificial intelligence with Python / Prateek Joshi
Title : Artificial intelligence with Python : build real-world artificial intelligence applications with Python to intelligently interact with the world around you Material Type: printed text Authors: Prateek Joshi, Author Publisher: Birmingham : Packt Publishing Publication Date: 2017 Pagination: vi, 430 p. Layout: ill. Size: 24 cm ISBN (or other code): 978-1-7864-6439-2 General note: Inludes index Languages : English (eng) Original Language : English (eng) Descriptors: Algorithms
Application software - Development
Artificial intelligence - Data processing
Computer programming
COMPUTERS - Intelligence (AI) & Semantics;
COMPUTERS - Programming Languages
Python (Computer program language)Class number: 006.3 Abstract: Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you’ll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that’s based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Contents note: Introduction to artificial intelligence; Classification and regression using supervised learning; Predictive analytics with ensemble learning; Detecting patterns with unsupervised learning; Building recommended systems; Logic programming; Heuristic search techniques; Genetic algorithms; Building game with AI; Natural language processing; Probabilistic reasoning for sequential data; Building a speech recognizer; Object detection and tracking; Artificial Neural Networks; Reinforcement learning; Deep learning with convolutional neural networks; Index; Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=17511 Copies
Barcode Call number Media type Location Section Status 1702-002416 006.3 Jos-Art 2017 General Collection SEEU Library Skopje English Not for loan Blockchain technology explained / Mark Atwood
Title : Blockchain technology explained Material Type: printed text Authors: Mark Atwood, Author Publisher: CreateSpace Independent Publishing Platform Publication Date: 2018 Pagination: 60 p. Size: 23 cm ISBN (or other code): 978-1-984113-81-8 Languages : English (eng) Original Language : English (eng) Descriptors: Blockchains (Databases)
Computer programmingClass number: 005.74 Abstract: Blockchain is the world's leading software platform for digital assets. Digital assets, like bitcoin and ethereum, allow users to transact directly without any third-party intermediary and was built to radically improve the financial system. There is a lot of speculation and misinformation about blockchain technology. While it is a rather technical subject, it can easily be understood if taught by the right person. In this simplified guide on blockchain , you'll learn how this new technology actually works. You'll be guided through every aspect of blockchain thoroughly to gain a deeper understanding of the meaning behind it. By the end of the book, you'll know everything you need to know about this topic and be ready use that information for future applications and investments. Contents note: How The Blockchain Technology Works; Benefits Of Blockchain Technology; Challenges Of Blockchain Technology; Why Blockchain Is Important; Blockchain Wallet; The Future Of Blockchain; Blockchain Programming; Blockchain Security; Blockchain Mining; MUCH, MUCH, MORE! Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=17965 Hold
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Barcode Call number Media type Location Section Status 1702-002264 005.74 Atw-Blo 2018 General Collection SEEU Library Skopje English Available 1702-002263 005.74 Atw-Blo 2018 General Collection SEEU Library Skopje English Available Building Machine Learning Systems with Python / Willi Richert
Title : Building Machine Learning Systems with Python : Master the art of machine learning with Python and build effective machine learning systems with this intensive hands-on guide Material Type: printed text Authors: Willi Richert, Author ; Luis Pedro Coelho, Author Publisher: Birmingham : Packt Publishing Publication Date: 2013 Pagination: vi, 271 p. Size: 24 cm ISBN (or other code): 978-1-7821-6140-0 General note: Includes index (p. [265]-271) Languages : English (eng) Original Language : English (eng) Descriptors: Computer programming Class number: 005.1 Abstract: Machine learning, the field of building systems that learn from data, is exploding on the Web and elsewhere. Python is a wonderful language in which to develop machine learning applications. As a dynamic language, it allows for fast exploration and experimentation and an increasing number of machine learning libraries are developed for Python. Building Machine Learning system with Python shows you exactly how to find patterns through raw data. The book starts by brushing up on your Python ML knowledge and introducing libraries, and then moves on to more serious projects on data sets, Modelling, Recommendations, improving recommendations through examples and sailing through sound and image processing in detail. Using open-source tools and libraries, readers will learn how to apply methods to text, images, and sounds. You will also learn how to evaluate, compare, and choose machine learning techniques. Written for Python programmers, Building Machine Learning Systems with Python teaches you how to use open-source libraries to solve real problems with machine learning. The book is based on real-world examples that the user can build on. Readers will learn how to write programs that classify the quality of Stack Overflow answers or whether a music file is Jazz or Metal. They will learn regression, which is demonstrated on how to recommend movies to users. Advanced topics such as topic modeling (finding a text’s most important topics), basket analysis, and cloud computing are covered as well as many other interesting aspects. Building Machine Learning Systems with Python will give you the tools and understanding required to build your own systems, which are tailored to solve your problems. Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=16027 Copies
Barcode Call number Media type Location Section Status 1702-001577 005.1 Ric-Bui 2013 General Collection Library "Max van der Stoel" English Not for loan The computational beauty of nature / Gary William Flake
Title : The computational beauty of nature : computer explorations of fractals, chaos, complex systems, and adaptation Material Type: printed text Authors: Gary William Flake, Author Publisher: Cambridge, Mass : MIT Press Publication Date: 1998 Pagination: xviii, 493 p. Size: 23 cm ISBN (or other code): 978-0-262-06200-8 General note: Includes bibliographical references (p. [469]-482) and index Languages : English (eng) Descriptors: Computer programming
System analysisClass number: 003.3 Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=7461 Hold
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Barcode Call number Media type Location Section Status 5702-010449 003.3 Fla-com 1998 General Collection Library "Max van der Stoel" English Available Cracking the coding interview / Gayle Laakmann McDowell
Title : Cracking the coding interview : 150 programming interview questions and solutions Material Type: printed text Authors: Gayle Laakmann McDowell, Author Edition statement: 5th edition Publisher: Palo Alto, California : CareerCup Publication Date: 2012 Pagination: viii, 500 p. Layout: ill. Size: 24 cm ISBN (or other code): 978-0-984782-80-2 General note: Includes index (p. 492-499) Languages : English (eng) Original Language : English (eng) Descriptors: Computer programming
Employment interviewingClass number: 650.14 Abstract: Now in the 5th edition, Cracking the Coding Interview gives you the interview preparation you need to get the top software developer jobs. This is a deeply technical book and focuses on the software engineering skills to ace your interview. The book is over 500 pages and includes 150 programming interview questions and answers, as well as other advice. Contents note: The interview process; Behind the scenes; Special situations; Before the interview; Behavioral preparation; Technical questions; The offer and beyond; Interview questions; Solutions; Record link: https://library.seeu.edu.mk/index.php?lvl=notice_display&id=17253 Copies
Barcode Call number Media type Location Section Status 1702-001964 650.14 McD-Cra 2012 General Collection Library "Max van der Stoel" English Not for loan Functional JavaScript / Michae Fogus
PermalinkIntroduction to algorithms
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