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  • Parallel Algorithm

Results for "parallel algorithm"


  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modeling and Predicting Climate Anomalies

    Skills you'll gain: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Data Science, Environmental Policy, Data Analysis, Energy and Utilities, Data Visualization, Pandas (Python Package), Supervised Learning, Climate Change Mitigation, Anomaly Detection, Environment, Political Sciences

    4.4
    Rating, 4.4 out of 5 stars
    ·
    12 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Open Source LLMOps Solutions

    Skills you'll gain: LLM Application, Hugging Face, Large Language Modeling, Natural Language Processing, Model Deployment, Open Source Technology, Prompt Engineering, Containerization, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Comportamiento adaptativo

    Skills you'll gain: Artificial Intelligence, Algorithms, Simulations, Robotics, Network Analysis, Transportation Operations

    4.3
    Rating, 4.3 out of 5 stars
    ·
    32 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Learn Python: 3

    Skills you'll gain: Object Oriented Programming (OOP), File I/O, Python Programming, Data Structures, Computer Programming, Scripting, Software Engineering, Performance Tuning, Web Development, Debugging, Random Forest Algorithm, Web Development Tools

    4.7
    Rating, 4.7 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Functional Programming Principles in Scala (Scala 2 version)

    Skills you'll gain: Scala Programming, Programming Principles, Data Structures, Functional Design, Object Oriented Programming (OOP), Algorithms, Integrated Development Environments

    4.8
    Rating, 4.8 out of 5 stars
    ·
    65 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Analytics, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Classification And Regression Tree (CART), Business Analytics, Deep Learning, Machine Learning, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.4
    Rating, 4.4 out of 5 stars
    ·
    23 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of California, Davis

    Writing with Generative AI

    Skills you'll gain: Large Language Modeling, Generative AI, Writing, Data Ethics, Responsible AI, Artificial Intelligence, Technical Writing, Model Evaluation, Machine Learning, Information Privacy

    3.8
    Rating, 3.8 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Simple Linear Regression for the Absolute Beginner

    Skills you'll gain: Regression Analysis, Visualization (Computer Graphics), Scikit Learn (Machine Learning Library), Feature Engineering, Data Cleansing, Predictive Modeling, Data Analysis, Statistical Modeling, Supervised Learning, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    67 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    76 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Model Deployment, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    87 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Automated Reasoning: satisfiability

    Skills you'll gain: Computational Logic, Combinatorics, Logical Reasoning, Mathematical Modeling, Theoretical Computer Science, Applied Mathematics, Algorithms, Linear Algebra, Verification And Validation, Arithmetic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    45 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Quantitative Model Checking

    Skills you'll gain: Computational Logic, Markov Model, Verification And Validation, Theoretical Computer Science, Mathematical Modeling, Systems Analysis, Statistical Modeling, Probability, Algorithms, Probability Distribution

    4.3
    Rating, 4.3 out of 5 stars
    ·
    54 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular parallel algorithm courses

  • Modeling and Predicting Climate Anomalies: University of Colorado Boulder
  • Open Source LLMOps Solutions: Duke University
  • Comportamiento adaptativo: Universidad Nacional Autónoma de México
  • Learn Python: 3: Scrimba
  • Functional Programming Principles in Scala (Scala 2 version): École Polytechnique Fédérale de Lausanne
  • Interpretable machine learning applications: Part 3: Coursera
  • Writing with Generative AI: University of California, Davis
  • Simple Linear Regression for the Absolute Beginner: Coursera
  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • Cloud Machine Learning Engineering and MLOps: Duke University

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