Professional Certificate in Natural Language Processing Math
-- ViewingNowThe Professional Certificate in Natural Language Processing (NLP) Math equips learners with essential mathematical skills for a successful career in NLP. This course is critical for those interested in understanding the fundamental mathematical concepts that power NLP technologies, such as machine learning, deep learning, and probabilistic modeling.
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• Linear Algebra: Vectors, Matrices, Matrix Factorizations, Linear Transformations, Eigendecomposition
• Probability Theory: Random Variables, Probability Distributions, Joint and Conditional Probability, Bayes' Theorem
• Statistics: Descriptive Statistics, Inferential Statistics, Hypothesis Testing, Confidence Intervals
• Information Theory: Entropy, Mutual Information, Cross-Entropy, KL-Divergence
• Optimization: Gradient Descent, Conjugate Gradient, Newton's Method, Quasi-Newton Methods
• Calculus: Single and Multivariable Calculus, Partial Derivatives, Chain Rule
• Discrete Mathematics: Set Theory, Combinatorics, Graph Theory, Logic
• Dynamic Programming: Optimal Substructure, Bellman's Principle of Optimality, DP Algorithms
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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- TwoThreeHoursPerWeek
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