Certificate in Topic Modeling Fundamentals

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The Certificate in Topic Modeling Fundamentals is a comprehensive course designed to equip learners with essential skills in topic modeling, a powerful data analysis technique in high demand across industries. This certification dives into the theory and practice of topic modeling, covering popular algorithms like Latent Dirichlet Allocation (LDA) and Non-negative Matrix Factorization (NMF).

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Learners gain hands-on experience in applying these models to real-world datasets, enhancing their data analysis and machine learning skills. By the end of this course, learners will be able to extract valuable insights from unstructured text data, making them highly attractive to employers in sectors like marketing, finance, healthcare, and technology. Stand out in the job market, advance your career, and stay ahead of the data analysis curve with the Certificate in Topic Modeling Fundamentals.

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โ€ข Introduction to Topic Modeling
โ€ข Probabilistic Graphical Models
โ€ข Latent Dirichlet Allocation (LDA)
โ€ข Implementing LDA with Gibbs Sampling
โ€ข Non-negative Matrix Factorization (NMF)
โ€ข Comparing Topic Models: LDA vs. NMF
โ€ข Evaluating Topic Coherence
โ€ข Topic Modeling in Python: Gensim & NLTK
โ€ข Real-world Applications of Topic Modeling
โ€ข Advanced Topic Modeling Techniques

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CERTIFICATE IN TOPIC MODELING FUNDAMENTALS
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London School of International Business (LSIB)
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05 May 2025
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