Intermediate 2 Units 1 2 Applications


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Directory of Distance Learning Opportunities


Directory of Distance Learning Opportunities

Author: Modoc Press, Inc.

language: en

Publisher: Bloomsbury Publishing USA

Release Date: 2003-02-28


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This book provides an overview of current K-12 courses and programs offered in the United States as correspondence study, or via such electronic delivery systems as satellite, cable, or the Internet. The Directory includes over 6,000 courses offered by 154 institutions or distance learning consortium members. Following an introduction that describes existing practices and delivery methods, the Directory offers three indexes: • Subject Index of Courses Offered, by Level • Course Level Index • Geographic Index All information was supplied by the institutions. Entries include current contact information, a description of the institution and the courses offered, grade level and admission information, tuition and fee information, enrollment periods, delivery information, equipment requirements, credit and grading information, library services, and accreditation.

Theory and Novel Applications of Machine Learning


Theory and Novel Applications of Machine Learning

Author: Er Meng Joo

language: en

Publisher: BoD – Books on Demand

Release Date: 2009-01-01


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Even since computers were invented, many researchers have been trying to understand how human beings learn and many interesting paradigms and approaches towards emulating human learning abilities have been proposed. The ability of learning is one of the central features of human intelligence, which makes it an important ingredient in both traditional Artificial Intelligence (AI) and emerging Cognitive Science. Machine Learning (ML) draws upon ideas from a diverse set of disciplines, including AI, Probability and Statistics, Computational Complexity, Information Theory, Psychology and Neurobiology, Control Theory and Philosophy. ML involves broad topics including Fuzzy Logic, Neural Networks (NNs), Evolutionary Algorithms (EAs), Probability and Statistics, Decision Trees, etc. Real-world applications of ML are widespread such as Pattern Recognition, Data Mining, Gaming, Bio-science, Telecommunications, Control and Robotics applications. This books reports the latest developments and futuristic trends in ML.

Distillation Theory and its Application to Optimal Design of Separation Units


Distillation Theory and its Application to Optimal Design of Separation Units

Author: F. B. Petlyuk

language: en

Publisher: Cambridge University Press

Release Date: 2004-10-18


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Originally published in 2004, Distillation Theory and Its Application to Optimal Design of Separation Units presents a clear, multidimensional geometric representation of distillation theory that is valid for all distillation column types, splits, and mixtures. This representation answers such fundamental questions as: what are the feasible separation products for a given mixture? What minimum power is required to separate a given mixture? What minimum number of trays is necessary to separate a given mixture at a fixed power input? This book is intended for students and specialists in the design and operation of separation units in the chemical, pharmaceutical, food, wood, petrochemical, oil-refining, and natural gas industries and for software designers.