4 edition of Learning modelling with derive found in the catalog.
Learning modelling with derive
M. Stewart Townend
Includes bibliographical references and index.
|Contributions||Pountney, D. C.|
|LC Classifications||TA342 .T68 1995|
|The Physical Object|
|LC Control Number||95010781|
Using the IMS Learning Design notation for the modelling and delivery of education: /ch IMS Learning Design (IMS-LD) is a notation system for learning and instruction. It supports the description of learning processes using a set of standardisedCited by: modelling. Unsupervised learning can be motivated from information theoretic and Bayesian principles. analysis, PCA, mixtures of Gaussians, ICA, hidden Markov models, state-space models, and many variants and extensions. We derive the EM algorithm and give an overview of fundamental concepts in graphical models, and inferenceFile Size: KB.
This book provides a systematic introduction to this new way of thinking. After discussing concepts and approaches such as subsumption architecture, Braitenberg vehicles, evolutionary robotics, artificial life, self-organization, and learning, the authors derive a set of principles and a coherent framework for the study of naturally and. Bayesian Reasoning and Machine Learning (BRML) by David Barber. Geared (as much as a machine-learning book can be!) towards computer scientists. Lots of material on graphical models. Freely available online. Gaussian Processes for Machine Learning (GPML) by Carl Rasmussen and Christopher Williams. Excellent reference for Gaussian processes.
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Get this from a library. Learning modelling with derive. [M Stewart Townend; D C Pountney] -- This text teaches mathematical modelling using the software algebraic software package, DERIVE. It guides the reader through the problem formulating and solutions stages of modelling, and provides an.
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Townend, D. Pountney: Develops undergraduate mathematical modelling skills with the support of DERIVE. The book provides students with the opportunity to develop both their problem-solving and IT skills through the fully integrated use of DERIVE.
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Learning Modelling with DERIVE Townend S., Pountney D. Teaches mathematical modelling using the algebraic software package, DERIVE. Mathematical modelling is very much the fashion as the maths syllabus develops towards applications and problem solving.
Gently guides the reader through the problem formulating and solutions stages of modelling. References to objectives in the Key Stage 3 Framework can be found in the last section of the book.
ISBN48 pages, photocopiable £20, published by Chartwell-Yorke: Books on Teaching and Learning Maths with Derive. Mathematical Activities with. Modelling Machine Learning Models this partial and subjective modelling of machine learning models can take place, suggesting that more machine learning is the answer.
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