Plastics Engineering

(Open Elective-2) KOE073: Machine Learning Plastics Engineering 7th Sem Syllabus for AKTU B.Tech 2021-22 Scheme

Machine Learning detail syllabus for Plastics Engineering (Plastics Engineering), 2021-22 scheme is taken from AKTUs official website and presented for the AKTU B.Tech students. For the course code (KOE073), exam duration, teaching hr/week, practical hr/week, total marks, internal marks, theory marks, duration, credits, and other details do visit complete semester subjects post given below.

For the Plastics Engineering 7th Sem Syllabus for AKTU B.Tech 2021-22 Scheme you can visit Plastics Engineering 7th Sem 2021-22 Scheme. For the Open Elective-2 scheme of Plastics Engineering 7th Sem 2021-22 regulation do refer to Open Elective-2 Plastics Engineering 7th Sem scheme. The detail syllabus for machine learning is as follows.

Machine Learning

Unit I

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Unit II

DECISION TREE LEARNING – Decision tree learning algorithm-Inductive bias- Issues in Decision tree learning; ARTIFICIAL NEURAL NETWORKS – Perceptrons, Gradient descent and the Delta rule, Adaline, Multilayer networks, Derivation of backpropagation rule Backpropagation AlgorithmConvergence, Generalization.

Unit III

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It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Unit IV

Computational Learning Theory: Sample Complexity for Finite Hypothesis spaces, Sample Complexity for Infinite Hypothesis spaces, The Mistake Bound Model of Learning; INSTANCE-BASED LEARNING – k-Nearest Neighbour Learning, Locally Weighted Regression, Radial basis function networks, Case-based learning.

Unit V

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Text Books:

  1. Tom M. Mitchell,’Machine Learning, McGraw-Hill Education (India) Private Limited, 2013.
  2. Ethem Alpaydin,’Introduction to Machine Learning (Adaptive Computation and Machine Learning), The MIT Press 2004.
  3. Stephen Marsland, ‘Machine Learning: An Algorithmic Perspective, CRC Press, 2009.
  4. Bishop, C., Pattern Recognition and Machine Learning. Berlin: Springer- Verlag.

For the syllabus of all the subjects of B.Tech Plastics Engineering 7th Sem, 2021-22 scheme do visit Plastics Engineering 7th Sem syllabus subjects.

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play

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