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  • Probabilistic Logic

Results for "probabilistic logic"


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    Stanford University

    Introduction to Logic

    Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Problem Solving, Business Logic, Complex Problem Solving, Decision Making

    4.4
    Rating, 4.4 out of 5 stars
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    654 reviews

    Intermediate · Course · 1 - 3 Months

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    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

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    Duke University

    Introduction to Logic and Critical Thinking

    Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Computational Logic, Analysis, Probability, Sampling (Statistics), Persuasive Communication, Sample Size Determination, Writing, Case Studies, Mathematical Modeling, Scientific Methods, Oral Expression, Correlation Analysis, Communication, Interpersonal Communications, Business Communication, Interactive Learning

    4.6
    Rating, 4.6 out of 5 stars
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    3.6K reviews

    Beginner · Specialization · 3 - 6 Months

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    U

    University of Colorado Boulder

    Foundations of Probability and Statistics

    Skills you'll gain: Probability, Estimation, Probability & Statistics, Probability Distribution, Markov Model, Statistical Methods, Statistical Inference, Bayesian Statistics, Sampling (Statistics), Statistical Analysis, Artificial Intelligence, Generative AI, Statistics, Data Analysis, Data Science, Descriptive Statistics, Machine Learning Algorithms, Mathematical Theory & Analysis

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    4.4
    Rating, 4.4 out of 5 stars
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    320 reviews

    Intermediate · Specialization · 3 - 6 Months

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    U

    University of Pittsburgh

    Mathematical Foundations for Data Science and Analytics

    Skills you'll gain: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Statistics, Pandas (Python Package), Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning

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    Beginner · Specialization · 1 - 3 Months

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    Johns Hopkins University

    Algebra: Elementary to Advanced

    Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Arithmetic, Advanced Mathematics, Applied Mathematics, General Mathematics, Analytical Skills, Probability & Statistics, Geometry

    4.8
    Rating, 4.8 out of 5 stars
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    772 reviews

    Beginner · Specialization · 3 - 6 Months

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    U

    University of California, Santa Cruz

    Bayesian Statistics

    Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Data Presentation, Statistics, Probability, Statistical Analysis, Statistical Software, Advanced Analytics, R (Software), Data Analysis, Mathematical Modeling, Microsoft Excel, Markov Model, Statistical Methods, Data Science

    4.6
    Rating, 4.6 out of 5 stars
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    3.5K reviews

    Intermediate · Specialization · 3 - 6 Months

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    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Probability & Statistics, Statistical Methods

    Intermediate · Course · 1 - 3 Months

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    U

    Universitat Politècnica de València

    Basic Math: Integrals

    Skills you'll gain: Integral Calculus, Calculus, General Mathematics, Engineering Calculations, Trigonometry

    Beginner · Course · 1 - 3 Months

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    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Program Development, Data Validation, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Predictive Modeling, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning

    4.8
    Rating, 4.8 out of 5 stars
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    718 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Johns Hopkins University

    Precalculus through Data and Modelling

    Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, R (Software), Analytical Skills, General Mathematics, Statistics, Algebra, Systems Of Measurement, Correlation Analysis, Regression Analysis, Calculus, Geometry

    4.7
    Rating, 4.7 out of 5 stars
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    319 reviews

    Beginner · Specialization · 3 - 6 Months

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    Birla Institute of Technology & Science, Pilani

    Mathematics for Engineering

    Skills you'll gain: Engineering Calculations, Data Analysis, Trigonometry, Engineering Analysis, Probability & Statistics, Computational Logic, Statistical Analysis, Linear Algebra, Logical Reasoning, Deductive Reasoning, Calculus, Analytics, Bayesian Statistics, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Differential Equations, Statistical Inference, Theoretical Computer Science, Programming Principles, Descriptive Analytics

    4.6
    Rating, 4.6 out of 5 stars
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    177 reviews

    Beginner · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular probabilistic logic courses

  • Introduction to Logic: Stanford University
  • Probabilistic Graphical Models: Stanford University
  • Introduction to Logic and Critical Thinking: Duke University
  • Foundations of Probability and Statistics: University of Colorado Boulder
  • Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
  • Algebra: Elementary to Advanced: Johns Hopkins University
  • Bayesian Statistics: University of California, Santa Cruz
  • Foundations for Machine Learning: Dartmouth College
  • Basic Math: Integrals: Universitat Politècnica de València
  • TensorFlow 2 for Deep Learning: Imperial College London

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