Results for "probabilistic+logic"
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Decision Intelligence, Bayesian Statistics, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Machine Learning Methods, Markov Model, Decision Support Systems, Machine Learning, Unsupervised Learning, Probability & Statistics, Network Analysis, Statistical Inference, Model Training, Statistical Machine Learning, Model Optimization
Skills you'll gain: Bayesian Network, Bayesian Statistics, Network Model, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Markov Model, Statistical Modeling, Statistical Inference, Graph Theory, Probability & Statistics, Sampling (Statistics), Algorithms
Johns Hopkins University
Skills you'll gain: Algebra, Mathematical Modeling, Graphing, Arithmetic, Advanced Mathematics, Applied Mathematics, Deductive Reasoning, Analytical Skills, Probability & Statistics, Geometry
Duke University
Skills you'll gain: Deductive Reasoning, Critical Thinking, Logical Reasoning, Computational Logic, Analysis, Probability, Diagram Design, Sampling (Statistics), Persuasive Communication, Verification And Validation, Probability & Statistics, Statistical Inference, Correlation Analysis, Communication, Decision Intelligence, Appeals, Business Communication
Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Dashboard Creation, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Descriptive Analytics, Simulations, Predictive Modeling, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Making, Decision Tree Learning, Keras (Neural Network Library)
Skills you'll gain: Vocabulary, Critical Thinking and Problem Solving, Logical Reasoning, Analytical Skills, Critical Thinking, Deductive Reasoning, Arithmetic, Problem Solving, Data Literacy, Grammar, Language Competency, English Language, Data Analysis, Literacy, Complex Problem Solving, Learning Strategies, Trend Analysis, Data Synthesis, Applied Mathematics, Algebra
What brings you to Coursera today?
Imperial College London
Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation
Stanford University
Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms
Coursera
Skills you'll gain: LLM Application, Model Evaluation, Large Language Modeling, Retrieval-Augmented Generation, Vector Databases, MLOps (Machine Learning Operations), Performance Tuning, Debugging, Performance Testing, Statistical Methods, Query Languages, SQL, Statistical Hypothesis Testing, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Python Programming
Johns Hopkins University
Skills you'll gain: Data Literacy, Data Analysis, Applied Mathematics, Mathematical Modeling, Graphing, Trigonometry, R (Software), R Programming, General Mathematics, Data Modeling, Algebra, Systems Of Measurement, Mathematical Software, Correlation Analysis, Regression Analysis, Calculus, Business Mathematics, Geometry
Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Analysis, Data Science, Statistics, Mathematical Modeling, Analysis, Data Modeling
Johns Hopkins University
Skills you'll gain: Calculus, Applied Mathematics, Data Modeling, Model Optimization, Estimation, Graphing, Mathematical Modeling, Data Analysis Software, Algebra, Cost Estimation, Mathematical Software, Linear Algebra, Trigonometry, General Mathematics, Advanced Mathematics, Analysis, Derivatives, Mathematical Theory & Analysis, Geometry, Data Analysis
In summary, here are 10 of our most popular probabilistic+logic courses
- Probabilistic Graphical Models:Â Stanford University
- Probabilistic Graphical Models: A Compact Introduction:Â Coursera
- Algebra: Elementary to Advanced:Â Johns Hopkins University
- Introduction to Logic and Critical Thinking:Â Duke University
- Statistical Inference & Predictive Modeling Foundations:Â Coursera
- Job & Exam Aptitude Mastery: Reasoning | DI | Verbal | Quant:Â Board Infinity
- Probabilistic Deep Learning with TensorFlow 2:Â Imperial College London
- Probabilistic Graphical Models 2: Inference:Â Stanford University
- Building Reliable LLM Systems:Â Coursera
- Precalculus through Data and Modelling:Â Johns Hopkins University
