The workshop explores the intersection of AI and machine learning, elaborating on how these technologies differ, specifically detailing the roles of AI, machine learning, and deep learning. A hands-on approach is employed, with attendees learning to write a machine learning algorithm from scratch using Python. The session emphasizes understanding the fundamentals over diving into complex mathematics right away. Attendees are encouraged to fill out an attendance sheet for certificates and to engage in discussions on AI applications, algorithms, and insights throughout the workshop.
AI encompasses algorithms that can mimic intelligent human behavior.
Machine learning requires data to learn from patterns and make predictions.
Deep learning utilizes neural networks to model complex data relationships.
Generative AI can create new content, offering advancements in creative applications.
Linear regression is presented as a fundamental machine learning technique.
With the rising capabilities of AI technologies, ethical considerations in programming and data privacy become paramount. The workshop’s emphasis on responsible AI highlights the necessity for future developers to integrate ethical frameworks into machine learning practices, ensuring that algorithms do not reproduce biases present in training data.
The session effectively demonstrates the importance of a strong foundational understanding before delving into complex applications of AI. By focusing on linear regression and its real-world implications, participants can grasp how AI models influence decision-making and predict outcomes, essential skills for any data scientist in the evolving technological landscape.
AI's ability to mimic human decision-making highlights its wide application in various industries.
ML enables systems to improve automatically through experience without being explicitly programmed.
These are fundamental to deep learning architectures, allowing complex function approximation.
The workshop was organized by GeeksforGeeks to enhance data science understanding.
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It offers workshops and learning opportunities in emerging tech fields like AI and ML.
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