Artificial Intelligence
Artificial Intelligence (AI) is a computer system the is able to execute the tasks that requires human intelligence. The tasks can involve problem solving, machine translation, image generation, and decision making. The primary objective of AI systems is to replicate or simulate human-like cognitive functions, enabling machines to tackle intricate tasks and adapt to varying circumstances. The subset of AI includes machine learning (ML), deep learning (DL), natural language processing, computer vision, robotics and generative AI.
To develop these complex models, we leverage python frameworks like Scikit-learn, TensorFlow and PyTorch.
- TensorFlow is developed by Google Brain teams, it provides a comprehensive set of tools to build and train the neural networks.
- PyTorch is a framework that is developed by Facebook’s AI Research lab (FAIR), it facilitates easy debugging and more intuitive model-building process compared to static graphs.
- Scikit-Learn is a user-friendly machine learning library that focuses in supervised and unsupervised learning.
These frameworks offer versatility and scalability to empower developers and researchers to create intelligent solutions across a wide spectrum of applications.
AI With Python Tutorial
In this AI with Python tutorial, you’ll explore the fundamental and advanced concepts of artificial intelligence (AI) using the Python programming language. Whether you’re a complete beginner or an experienced professional, this tutorial is tailored to meet your learning needs, offering a step-by-step approach to mastering AI techniques with Python.
From understanding basic concepts to exploring advanced algorithms and applications, this tutorial equips you with the essential skills and knowledge to dive into the exciting world of AI. Whether you’re looking your build your career in AI or enhance your existing skills, this tutorial provides a solid foundation for your AI journey.
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