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MCS 224 Artificial Intelligence and Machine learning | Quick Readable Notes For IGNOU Exam

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MCS 224 Artificial Intelligence and Machine learning | Quick Readable Notes For IGNOU Exam

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An advanced course covering the theory and applications of Artificial Intelligence (AI) and Machine Learning (ML), essential for MSc students in Computer Science.
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  • Comprehensive study of AI and ML algorithms and techniques.
  • Practical applications in data analysis, pattern recognition, and predictive modeling.
  • Case studies on AI/ML implementations across various domains.
  • Exam-focused summaries and quick revision notes.
Category : MASTER‘S DEGREE PROGRAMMES
Sub Category : Master of Science (Renewable Energy and Environment) (MSCRWEE)
Products Code : MSCRWEE-MRW-S4-5.61
HSN Code : 490110
Language : English
Author : BMAP EDUSERVICES PVT LTD
Publisher : BMAP EDUSERVICES PVT LTD
University : IGNOU (Indira Gandhi National Open University)
Pages : 100-130
Weight : 157gms
Dimensions : 21.0 x 29.7 cm (A4 Size Pages)



Details

MCS 224 Artificial Intelligence and Machine Learning is a cornerstone course designed for students pursuing the Master of Computer Science (MCS) degree. This course provides an extensive exploration of Artificial Intelligence and Machine Learning, encompassing both foundational principles and advanced methodologies. Topics include supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, and computer vision.

Key benefits of this course include:

  • Comprehensive Coverage: Detailed study of AI and ML algorithms, techniques, and applications.
  • Practical Applications: Hands-on experience in applying AI/ML techniques to real-world data analysis, pattern recognition, and predictive modeling.
  • Industry Relevance: Case studies that illustrate the impact of AI/ML in diverse domains such as healthcare, finance, and robotics.
  • Exam Preparation: Includes exam-focused summaries and quick revision notes to aid students in preparing effectively for assessments.

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