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Application of Artificial Intelligence and Machine Learning in Industries

Application of Artificial Intelligence and Machine Learning in Industries

Machine learning is revolutionizing industries by enabling automation, prediction, and personalization. From manufacturing optimizing processes and predicting equipment failures to healthcare aiding in diagnosis and drug discovery, ML algorithms analyze vast datasets to extract valuable insights. Finance benefits from fraud detection and risk assessment, while retail leverages ML for personalized recommendations and supply chain optimization, ultimately driving efficiency and innovation across sectors.

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Expiry Period Lifetime
Made in English
Last updated at Mon Oct 2025
Level
Advanced
Total lectures 10
Total quizzes 2
Total Duration 00:40:00 Hours
Total enrolment 3
Number of reviews 0
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Short Description Machine learning is revolutionizing industries by enabling automation, prediction, and personalization. From manufacturing optimizing processes and predicting equipment failures to healthcare aiding in diagnosis and drug discovery, ML algorithms analyze vast datasets to extract valuable insights. Finance benefits from fraud detection and risk assessment, while retail leverages ML for personalized recommendations and supply chain optimization, ultimately driving efficiency and innovation across sectors.
Provide Course Outcomes
  • Understand the fundamental principles and terminologies of AI and ML
  • Apply data preparation techniques and select appropriate ML models for various tasks
  • Identify industry-specific applications of ML and their potential impact on business processes
  • Develop and deploy ML solutions in different industry domains
  • Evaluate and optimize the performance of ML models using relevant metrics and techniques
  • Stay updated on emerging trends and ethical considerations in the field of AI and ML
Prerequisites
  • A basic understanding of data science, programming (preferably in Python), and machine learning concepts is recommended.
  • Familiarity with statistics, linear algebra, and industry-specific processes will help participants fully grasp the course material.
  • Prior exposure to AI and ML frameworks or tools such as TensorFlow or scikit-learn would be beneficial but is not mandatory.

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