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Artificial Intelligence AI

Track :

Programming

Lessons no : 52

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What will you learn in this course?
  • Develop machine learning models using Python and popular AI frameworks like TensorFlow and PyTorch for real-world applications
  • Implement natural language processing techniques to analyze and generate human language in chatbots and virtual assistants
  • Design and train neural networks to solve complex problems in image recognition, speech processing, and autonomous systems
  • Apply AI algorithms to optimize decision-making processes in business, healthcare, and finance sectors
  • Evaluate AI model performance using metrics like accuracy, precision, recall, and F1 score for reliable deployment
  • Utilize data preprocessing, feature engineering, and data augmentation to enhance AI model effectiveness and robustness
  • Integrate AI solutions into existing software systems to automate tasks and improve operational efficiency
  • Understand ethical considerations and bias mitigation strategies in AI development and deployment
  • Create AI-powered applications that improve user experience and engagement across digital platforms
  • Implement reinforcement learning techniques for autonomous decision-making in robotics and gaming
  • Analyze large datasets to extract actionable insights using AI-driven data analysis tools
  • Develop strategies for deploying AI models in cloud environments for scalability and real-time processing

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Lessons | 52
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Tharun Tharun

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2024-03-18

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2024-03-10

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Artificial intelligence (AI) is the ability of a computer or a robot controlled by a computer to do tasks that are usually done by humans because they require human intelligence and discernment .