introduction to matlab pdf
Information Technology / November 10, 2017

introduction to matlab pdf is a book written Hans Petter Halvorsen in 1st november, 2016 by university collage of southeast norway. This book consists of 37 pages and contains 9 chapters starting from Introduction, Start using MATLAB, Matrices and Vectors, Scripts and functions – M Files, Flow Control, Plotting, Linear Algebra, Toolboxes, and Whats Next? and at the last quick reference. The copyright licensed belong to the university collage of southeast norway. This book have a complete knowledge of understanding the matlab from basics with a practical labs scenarios with full demonstration. About the author of introduction to matlab pdf: Hans Petter Halvorse  is working at University College of Southeast Norway. At the University he is working as a Teaching, Research and Development, Programming and System Development, Laboratory Work and Data Acquisition within the area Industrial IT and Automation. He has a Bachelor degree in Process Automation from Østfold University College (Høgskolen i Øsfold) and a Master degree in Systems and Control Engineering(graduated from Telemark University College (Høgskolen i Telemark) in 1997). He has been working with Industrial IT for the last 12 years, and previously working at CARDIAC AS and Baze Technology AS (http://www.bazetechnology.com/). To learn more from background of hans petter halvorse just click on the below link: http://home.hit.no/~hansha/hph.htm. conclusion of introduction to matlab pdf: MATLAB is a tool…

mathematics for computer science book
Information Technology / November 9, 2017

mathematics for computer science book is written by Eric Lehman, F Thomson Leighton, and Albert R Meyer. This book contains 1006 pages and consists of 5 sections. This book  have 22 chapters starting from What is a Proof?, The Well Ordering Principle, Logical Formulas, Mathematical Data Types, Induction, State Machines,  Recursive Data Types, Infinite Sets,  Number Theory, Directed graphs & Partial Orders, Communication Networks, Simple Graphs, Planar Graphs, Sums and Asymptotics, Cardinality Rules, Generating Functions, Events and Probability Spaces,  Conditional Probability, Random Variables, Deviation from the Mean,  Random Walks, and Recurrences. This book is licensed under creative common attribution-sharealike 3.0 licensed. About the Authors of mathematics for computer science book: Eric D. Lehman, teaches travel literature and creative writing at the University of Bridgeport, and his essays, reviews, and stories have appeared in dozens of journals and magazines. Dr. Tom Leighton co-founded Akamai Technologies in 1998 and served as Akamai’s Chief Scientist until he became its CEO in 2013. Under Dr. Leighton’s leadership, Akamai has evolved from its origins as a Content Delivery Network (CDN) into one of the most essential and trusted cloud delivery and cybersecurity platforms, upon which many of the world’s best brands and enterprises build and secure their digital experiences. During his initial four years as CEO, Akamai’s revenue and profit grew by 70%, and annual…

introduction to information retrieval pdf
Information Technology / November 9, 2017

introduction to information retrieval pdf is the book written by Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze.  This book consists of 581 pages and contains 21 chapters starting from Boolean retrieval,  The term vocabulary and postings lists, Dictionaries and tolerant retrieval,  Index construction, Index compression,  Scoring, term weighting and the vector space model,  Computing scores in a complete search system, Evaluation in information retrieval, Relevance feedback and query expansion,  XML retrieval, Probabilistic information retrieval, Language models for information retrieval,  Text classification and Naive Bayes, Vector space classification, Support vector machines and machine learning on documents, Flat clustering,  Hierarchical clustering, Matrix decompositions and latent semantic indexing,  Web search basics,  Web crawling and indexes, and Link analysis. This book is published in april 1, 2009 under the Cambridge university press. About the Authors of introduction to information retrieval pdf: Christopher Manning is the inaugral Thomas M. Siebel Professor in Machine Learning in the Departments of Computer Science and Linguistics at Stanford University. His research goal is computers that can intelligently process, understand, and generate human language material. Manning is a leader in applying Deep Learning to Natural Language Processing, with well-known research on Tree Recursive Neural Networks, sentiment analysis, neural network dependency parsing, the GloVe model of word vectors, neural machine translation, and deep language understanding. He…

business information systems pdf
Information Technology / November 8, 2017

business information systems pdf is adapted by the saylor foundation under the creative common attribution non commercial sharealike 3.0 licensed. This book contains 19 chapters starting from information systems in your life: types of systems and careers, information systems to enhance business: business process redesign, professionalism in deliverables: principles of graphics design, user centered design: design an iphone app, planning usable websites: design a website to market the app, build, buy or reuse solution: develop a website to market the app, knowledge with information systems: forecast revenues and expenses for the app, decision support: determine feasibility of a business loan for the app, industry analysis: smartphone apps, business intelligence: analysis of app sales data, writing the business case: design a report for the app, presenting the business case: design a presentation for the app, establishing credentials: networking and placement, Microsoft powerpoint techniques, cloud computing techniques, microsoft excel techniques, microsoft access techniques, microsoft word techniques, and appendix a: fonts. About the Author of business information systems pdf: Edward Tufte (The Visual Display of Quantitative Information) is perhaps the world’s leading expert on the design and display of quantitative information. Tufte begins by insisting we focus first on the quality, relevance, and…

Data Mining for the Masses
Database / November 7, 2017

Data Mining for the Masses is written by Dr. Matthew North in 2012 licensed under common creative attribution 3.0  licensed. This book contains 3 sections and 14 chapters starting from introduction to data mining and CRISP-DM than organizational understanding and data understanding, data preparation, correlation, association rules, k-means clustering, discriminant analysis, linear regression, logistic regression, decisions trees, neural networks, text mining, evaluation and deployment, and data mining ethics. The three sections are data mining basics, data mining methods and models, and special consideration in data mining. About author of Data Mining for the Masses: Dr. Matt North came to the Information Systems and Technology department at UVU in 2015.  His teaching expertise is in Business Information Systems, Data Mining and Analytics, Geographic Information Systems (GIS) and Web/Mobile Software Development.  Research areas include Data Mining, GIS, Business & Technology Pedagogy, and Digital Ethics.  He is the author of two books, Life Lessons & Leadership (Agami Press, 2011), and Data Mining for the Masses (2nd Edition, Infinite Publishing, 2016), as well as numerous journal papers, articles, book chapters, and conference presentations.  An award winning professor and scholar, he is a Fulbright alumnus (Universidad Tecnológica Nacional de Argentina, 2013) and the recipient of the Ben Bauman Award for Excellence and the Gamma…