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Starts 9 June 2025 13:56
Ends 9 June 2025
Text Generation with Markov Chains in Python
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Overview
Embark on a journey through the fascinating world of stochastic processes with our Text Generation with Markov Chains in Python course, offered by Coursera. Dive deep into the principles of Markov chains, a cornerstone method in probabilistic modeling, and harness its power to create a model of an entire book's text.
This hands-on, project-based course is designed to guide you through the process from the ground up, without the need for external libraries.
By the end of this engaging course, not only will you grasp the fundamental concepts of Markov chains, but you'll also apply these learnings to generate a brand-new text, mimicking the style of your chosen book, all through your own Python code. Whether you're passionate about Artificial Intelligence, Python programming, or general programming concepts, this course is tailor-made to enrich your skills and spark your creativity.
Join us in unlocking the potential of text generation with Markov chains and expand your programming horizons.
Taught by
Daniel Romaniuk
Subjects
