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  • Parallel Algorithm

Results for "parallel algorithm"


  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Feature Engineering, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C, Go, and C++: A Comprehensive Introduction to Programming

    Skills you'll gain: C++ (Programming Language), Go (Programming Language), File I/O, Data Structures, Object Oriented Programming (OOP), Programming Principles, Software Design Patterns, Debugging, Computer Programming, Unit Testing, Algorithms, C (Programming Language), Program Development, Integrated Development Environments, Graph Theory, Software Testing, Artificial Intelligence, Integration Testing, Software Design, Software Documentation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    9.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Building, Optimizing, and Validating Machine Learning Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Workflow Management, Verification And Validation, Business Logic, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Performance Tuning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Predictive Modeling, Supervised Learning, Bayesian Statistics, Logistic Regression, Statistical Modeling, Artificial Intelligence, Data Preprocessing, Deep Learning, Data Mining, Decision Tree Learning, Computer Vision, Statistical Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Data Preprocessing, Machine Learning, Machine Learning Methods

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Augmented and Virtual Reality (AR/VR), Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of Data Science

    Skills you'll gain: Data Storytelling, Data Ethics, Data Analysis, Data-Driven Decision-Making, Analytics, Workflow Management, Business Analytics, Data Science, Statistical Reporting, Business Intelligence, Project Design, Project Management, Communication, Stakeholder Communications, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.9K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Science Methodology

    Skills you'll gain: Jupyter, Data Modeling, Model Deployment, Data Science, Data Preprocessing, Data Cleansing, Data Mining, Model Evaluation, Business Analysis, Data Analysis, Business Requirements, Decision Tree Learning, Data Storytelling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D
    U

    Multiple educators

    Object Oriented Programming in Java

    Skills you'll gain: Unit Testing, Data Structures, Event-Driven Programming, File I/O, Interactive Data Visualization, Java, Java Programming, User Interface (UI), Object Oriented Programming (OOP), JUnit, Debugging, Object Oriented Design, Computer Programming, Cryptography, Software Engineering, Performance Tuning, Algorithms, Data Analysis, Software Design, Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Assets, Threats, and Vulnerabilities

    Skills you'll gain: Threat Modeling, Threat Management, Vulnerability Management, Cyber Threat Intelligence, Cybersecurity, Cyber Attacks, Vulnerability Assessments, Threat Detection, MITRE ATT&CK Framework, Data Security, Cyber Risk, NIST 800-53, Authorization (Computing), Authentications, Security Strategy, Security Controls, Risk Management Framework, Identity and Access Management, Encryption, Cryptography

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Cybersecurity Fundamentals

    Skills you'll gain: Encryption, Public Key Infrastructure, Cryptography, Network Security, Cybersecurity, Data Security, Cryptographic Protocols, Cyber Attacks, Advanced Encryption Standard (AES), Application Security, Information Technology, Computer Security Awareness Training, Cyber Security Strategy, Authentications, Authorization (Computing), Security Controls, Personally Identifiable Information, Security Awareness, Cyber Security Policies, Computer Security Incident Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.3K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
  • Machine Learning with Python: IBM
  • C, Go, and C++: A Comprehensive Introduction to Programming: University of California, Santa Cruz
  • Building, Optimizing, and Validating Machine Learning Models: Coursera
  • Machine Learning: University of Washington
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Generative AI: Introduction and Applications: IBM
  • Foundations of Data Science: Google
  • Data Science Methodology: IBM
  • Object Oriented Programming in Java: Duke University

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