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001    on1082172343 
003    OCoLC 
005    20210702123132.6 
006    m     o  d         
007    cr |n|---||||| 
008    190112s2018    enk     o     000 0 eng d 
019    1080999892 
020    1788997972 
020    9781788997973|q(electronic book) 
035    (OCoLC)1082172343|z(OCoLC)1080999892 
040    EBLCP|beng|epn|cEBLCP|dYDX|dMERUC|dUKAHL|dOCLCQ|dRDF
       |dOCLCO|dOCLCF|dN$T|dOCLCQ 
049    RIDW 
050  4 Q335|b.E257 2018 
082 04 006.3|223 
090    Q335|b.E257 2018 
100 1  Eckroth, Joshua. 
245 10 AI Blueprints :|bHow to Build and Deploy AI Business 
       Projects. 
264  1 Birmingham :|bPackt Publishing Ltd,|c2018. 
300    1 online resource (251 pages) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file|2rdaft 
505 0  Cover; Copyright; Mapt Upsell; Contributors; Table of 
       Contents; Preface; Chapter 1: The AI Workflow; AI isn't 
       everything; The AI workflow; Characterize the problem; 
       Checklist; Develop a method; Checklist; Design a 
       deployment strategy; Checklist; Design and implement a 
       continuous evaluation; Checklist; Overview of the 
       chapters; Summary; Chapter 2: Planning Cloud 
       Infrastructure; The problem, goal, and business case; 
       Method -- constraint solvers; OptaPlanner; Deployment 
       strategy; Continuous evaluation; Summary; Chapter 3: 
       Making Sense of Feedback; The problem, goal, and business 
       case 
505 8  Method -- sentiment analysisDeployment strategy; CoreNLP 
       processing pipeline; Twitter API; The GATE platform; 
       Reddit API; News API; Dashboard with plotly.js and Dash; 
       Continuous evaluation; Retraining CoreNLP sentiment 
       models; Summary; Chapter 4: Recommending Products and 
       Services; Usage scenario -- implicit feedback; Content-
       based recommendations; Collaborative filtering 
       recommendations; BM25 weighting; Matrix factorization; 
       Deployment strategy; Continuous evaluation; Calculating 
       precision and recall for BM25 weighting; Online evaluation
       of our recommendation system; Summary 
505 8  Chapter 5: Detecting Your Logo in Social MediaThe rise of 
       machine learning; Goal and business case; Neural networks 
       and deep learning; Deep learning; Convolutions; Network 
       architecture; Activation functions; TensorFlow and Keras; 
       YOLO and Darknet; Continuous evaluation; Summary; Chapter 
       6: Discovering Trends and Recognizing Anomalies; Overview 
       of techniques; Discovering linear trends; Discovering 
       dynamic linear trends with a sliding window; Discovering 
       seasonal trends; ARIMA; Dynamic linear models; Recognizing
       anomalies; Z-scores with static models; Z-scores with 
       sliding windows; RPCA 
505 8  ClusteringDeployment strategy; Summary; Chapter 7: 
       Understanding Queries and Generating Responses; The 
       problem, goal, and business case; Our approach; The 
       Pokémon domain; The course advising domain; Method -- NLP 
       + logic programming + NLG; NLP with Rasa; Logic 
       programming with Prolog and tuProlog; Prolog unification 
       and resolution; Using Prolog from Java with tuProlog; 
       Pokémon in Prolog; Natural language generation with 
       SimpleNLG; A second example -- college course advising; 
       Continuous evaluation; Summary; Chapter 8: Preparing for 
       Your Future and Surviving the Hype Cycle; Always one step 
       ahead 
505 8  The state of thingsNatural language processing; Computer 
       vision; Expert systems and business rules; Planning and 
       scheduling; Robotics; Understanding the hype cycle of AI; 
       The next big thing; Summary; Other Books You May Enjoy; 
       Leave a review -- let other readers know what you think; 
       Index 
520    This book shows how to build intelligent applications to 
       solve business needs. Several paradigms of AI are covered,
       including deep learning, natural language processing, 
       planning, and logic programming. Each project is developed
       with a business goal in mind and care is taken to address 
       deployment and evaluation issues. Dr. Joshua Eckroth ... 
588 0  Print version record. 
590    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America 
650  0 Artificial intelligence.|0https://id.loc.gov/authorities/
       subjects/sh85008180 
650  7 Artificial intelligence.|2fast|0https://id.worldcat.org/
       fast/817247 
655  4 Electronic books. 
776 08 |iPrint version:|aEckroth, Joshua.|tAI Blueprints : How to
       Build and Deploy AI Business Projects.|dBirmingham : Packt
       Publishing Ltd, ©2018|z9781788992879 
856 40 |uhttps://rider.idm.oclc.org/login?url=https://
       search.ebscohost.com/login.aspx?direct=true&scope=site&
       db=nlebk&AN=1993338|zOnline ebook via EBSCO. Access 
       restricted to current Rider University students, faculty, 
       and staff. 
856 42 |3Instructions for reading/downloading the EBSCO version 
       of this ebook|uhttp://guides.rider.edu/ebooks/ebsco 
901    MARCIVE 20231220 
948    |d20210708|cEBSCO|tEBSCOebooksacademic NEW 5016 |lridw 
994    92|bRID