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MCS 224 Artificial Intelligence and Machine Learing (From MCA Programme of IGNOU) | Guess Papers of IGNOU

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MCS 224 Artificial Intelligence and Machine Learing (From MCA Programme of IGNOU) | Guess Papers of IGNOU

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Comprehensive guide to artificial intelligence and machine learning for MAEC students. Includes focused exam material and guess papers for effective exam preparation.
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  • Covers fundamental concepts of AI and machine learning.
  • Explores applications and algorithms in AI and ML.
  • Provides 50-60 pages of exam-centric content.
  • Includes important questions for IGNOU exams.
Category : MASTER‘S DEGREE PROGRAMMES
Sub Category : Master of Arts (Economics)(MAEC)
Products Code : MAEC-MEC-S4-A-5.21
HSN Code : 490110
Language : English, English
Author : BMAP EDUSERVICES PVT LTD
Publisher : BMAP EDUSERVICES PVT LTD
University : IGNOU (Indira Gandhi National Open University)
Pages : 50
Weight : 157gms
Dimensions : 21.0 x 29.7 cm (A4 Size Pages)



Details

MCS 224 Artificial Intelligence and Machine Learning is an essential resource for MA Economics students aiming to master AI and ML concepts and their applications. This comprehensive guide delves into fundamental concepts such as neural networks, supervised and unsupervised learning, and natural language processing. It explores various applications and algorithms used in AI and ML, providing a practical understanding of how these technologies can be applied in economic analysis and research. With 50-60 pages dedicated to exam-centric guess papers, this book ensures thorough preparation by focusing on important questions likely to appear in IGNOU examinations. By utilizing this resource, students can enhance their analytical skills, apply AI and ML techniques to economic data, and excel in their MAEC examinations.

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The IGNOU solved assignments and guess papers provided on this platform are for reference purposes only and should not be used to engage in educational dishonesty. These materials serve as learning and study tools and are not intended for submission as original work. Users are responsible for using these materials ethically and in accordance with their educational institution's guidelines. We do not assume liability for any misuse or consequences resulting from the use of these materials. By accessing and utilizing these resources, users agree to this disclaimer.

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