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  • Parallel Algorithms In C 17


Results for "parallel algorithms in c 17"


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    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
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    97K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    U

    University of Pennsylvania

    Business Foundations

    Skills you'll gain: Financial Statements, Operations Management, Operational Efficiency, Financial Statement Analysis, Return On Investment, Accrual Accounting, Human Capital, Process Analysis, Branding, Financial Accounting, Marketing, Process Management, People Management, Strategic Marketing, Capital Budgeting, Financial Reporting, Finance, Peer Review, Project Design, Corporate Finance

    4.7
    Rating, 4.7 out of 5 stars
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    26K reviews

    Beginner · Specialization · 3 - 6 Months

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    IBM

    IBM Machine Learning

    Skills you'll gain: Autoencoders, Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Generative AI, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Deep Learning, Data Science, Machine Learning, Python Programming

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    4.6
    Rating, 4.6 out of 5 stars
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    3.5K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    U

    University of Illinois Urbana-Champaign

    VLSI CAD Part II: Layout

    Skills you'll gain: Application Specific Integrated Circuits, Hardware Design, Computer-Aided Design, Systems Design, Computer Architecture, Network Routing, Computational Logic, Electrical Engineering, Data Structures, Algorithms, Graph Theory, Mathematical Modeling, Calculus

    4.7
    Rating, 4.7 out of 5 stars
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    282 reviews

    Intermediate · Course · 1 - 3 Months

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    J

    Johns Hopkins University

    Data Science: Foundations using R

    Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Sharing, GitHub, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    48K reviews

    Beginner · Specialization · 3 - 6 Months

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    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
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    18K reviews

    Intermediate · Course · 1 - 3 Months

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    IBM

    Data Science Fundamentals with Python and SQL

    Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Presentation, Statistics, Data Visualization, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Web Scraping, Data Visualization Software, Python Programming

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    4.6
    Rating, 4.6 out of 5 stars
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    74K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    D

    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Machine Learning Methods, Data Preprocessing, Artificial Neural Networks, Model Evaluation, Verification And Validation

    4.9
    Rating, 4.9 out of 5 stars
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    63K reviews

    Intermediate · Course · 1 - 4 Weeks

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    V

    Vanderbilt University

    Capstone MOOC for "Android App Development"

    Skills you'll gain: Android Development, Android Studio, Software Testing, Mobile Development, Java, Development Testing, Unit Testing, Application Development, Integration Testing, User Interface (UI), Data Persistence

    4.4
    Rating, 4.4 out of 5 stars
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    68 reviews

    Mixed · Course · 1 - 4 Weeks

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    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    13K reviews

    Beginner · Course · 1 - 3 Months

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    D

    DeepLearning.AI

    Convolutional Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    43K reviews

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Colorado Boulder

    Excel/VBA for Creative Problem Solving, Part 1

    Skills you'll gain: Excel Macros, Programming Principles, Visual Basic (Programming Language), Computer Programming, Spreadsheet Software, Problem Solving, Automation, Algorithms, Debugging, Data Management, Data Cleansing

    4.8
    Rating, 4.8 out of 5 stars
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    4.3K reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular parallel algorithms in c 17 courses

  • IBM Generative AI Engineering: IBM
  • Business Foundations: University of Pennsylvania
  • IBM Machine Learning: IBM
  • VLSI CAD Part II: Layout: University of Illinois Urbana-Champaign
  • Data Science: Foundations using R: Johns Hopkins University
  • Machine Learning with Python: IBM
  • Data Science Fundamentals with Python and SQL: IBM
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
  • Capstone MOOC for "Android App Development": Vanderbilt University
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London

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