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Nov 5, 2024 · Develop a strong foundation in Python programming for AI, utilizing tools like NumPy, pandas, and Matplotlib for data analysis and visualization. Learn how to use, build, and train machine learning models with popular Python libraries. Implement neural networks using PyTorch.
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CS50’s Introduction to Artificial Intelligence with Python explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation.
Learn Python programming fundamentals and how to integrate AI tools for data manipulation, analysis, and visualization. Discover how Python can be applied in various domains such as business, marketing, and journalism to solve real-world problems and enhance efficiency through practical applications.
Mar 27, 2024 · Examine machine learning results, recognize data bias in machine learning, and avoid underfitting or overfitting data. Build a foundation for the use of Python libraries in machine learning and artificial intelligence, preparing you for future Python study.
Apply Python programming concepts to implement AI algorithms, machine learning models, and deep learning architectures. Use essential statistics concepts, like probability, linear algebra and statistical learning theory, to develop and analyze machine learning models.
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Utilize Python libraries like Flask and Gradio to create web applications that interact with generative AI models. Build generative AI-powered applications and chatbots using generative AI models, Python, and related frameworks. Skills you'll gain. Voice Assistants. Chatbots. Python Programming. Details to know. Shareable certificate.
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