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    Results for "understanding purpose of sequential-probabilistic-inference steps"

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      U

      University of Colorado Boulder

      Discrete-Time Markov Chains and Monte Carlo Methods

      Skills you'll gain: Mathematical Modeling, Statistical Modeling, Machine Learning Algorithms, Generative AI Agents, Artificial Intelligence

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
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      B

      Birla Institute of Technology & Science, Pilani

      Probability and Statistics

      Skills you'll gain: Data Analysis, Statistical Analysis, Analytics, Statistical Modeling, Predictive Modeling, Applied Mathematics, Data Visualization

      Beginner · Course · 1 - 3 Months

    • Status: New
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      N

      Northeastern University

      Engineering Probability and Statistics Part 2

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation

      Mixed · Course · 1 - 3 Months

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      Johns Hopkins University

      Advanced Statistics for Data Science

      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, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling

      4.4
      Rating, 4.4 out of 5 stars
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      772 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
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      D

      Databricks

      Introduction to Computational Statistics for Data Scientists

      Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Predictive Modeling, Statistical Analysis, Statistical Machine Learning, Probability Distribution, Data Science, Markov Model, Statistics, Simulations, Python Programming, Mathematical Software, Statistical Inference

      4
      Rating, 4 out of 5 stars
      ·
      109 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
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      J

      Johns Hopkins University

      Data Science Decisions in Time

      Skills you'll gain: Precision Medicine, Game Theory, Reinforcement Learning, Data-Driven Decision-Making, Clinical Trials, Bioinformatics, Image Analysis, Analytics, Markov Model, Bayesian Statistics, Time Series Analysis and Forecasting, Data Science, Strategic Decision-Making, Anomaly Detection, Computational Thinking, Probability Distribution, Cybersecurity, Statistical Analysis, Machine Learning Methods, Algorithms

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
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      S

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
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      1.4K reviews

      Advanced · Course · 1 - 3 Months

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      G

      Google

      The Power of Statistics

      Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Statistical Hypothesis Testing, Data Analysis, Probability Distribution, Statistics, Data Science, Statistical Analysis, A/B Testing, Statistical Methods, Probability, Statistical Inference, Statistical Programming, Python Programming, Technical Communication

      4.8
      Rating, 4.8 out of 5 stars
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      833 reviews

      Advanced · Course · 1 - 3 Months

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      U

      University of Pittsburgh

      Statistics and Calculus Methods for Data Analysis

      Skills you'll gain: Statistical Analysis, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Applied Mathematics, Derivatives, Probability, Mathematical Modeling, Pandas (Python Package), Machine Learning, Algorithms

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      Beginner · Course · 1 - 4 Weeks

    • Status: Free
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      A

      Amazon Web Services

      Essentials of Prompt Engineering

      Skills you'll gain: Prompt Engineering, ChatGPT, OpenAI, Generative AI, Large Language Modeling

      4.6
      Rating, 4.6 out of 5 stars
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      510 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      599 reviews

      Intermediate · Course · 1 - 4 Weeks

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      U

      University of Colorado Boulder

      Probability Foundations for Data Science and AI

      Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Data Analysis, Descriptive Statistics, Statistical Inference, Statistical Analysis, Artificial Intelligence

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      256 reviews

      Intermediate · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular understanding purpose of sequential-probabilistic-inference steps courses

    • Discrete-Time Markov Chains and Monte Carlo Methods: University of Colorado Boulder
    • Probability and Statistics: Birla Institute of Technology & Science, Pilani
    • Engineering Probability and Statistics Part 2: Northeastern University
    • Advanced Statistics for Data Science: Johns Hopkins University
    • Introduction to Computational Statistics for Data Scientists: Databricks
    • Data Science Decisions in Time: Johns Hopkins University
    • Probabilistic Graphical Models 1: Representation: Stanford University
    • The Power of Statistics: Google
    • Statistics and Calculus Methods for Data Analysis: University of Pittsburgh
    • Essentials of Prompt Engineering: Amazon Web Services

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