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  • Optics Algorithm

Results for "optics algorithm"


  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Better Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Responsible AI, Data Ethics, Deep Learning, Machine Learning, Image Quality, Image Analysis, Artificial Neural Networks, Performance Testing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    683 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Visualization Software, Data Pipelines, Design Thinking, Unit Testing, Data Science, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    350 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Algorithmic Thinking (Part 1)

    Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Programming Principles, Python Programming, Computer Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    384 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of California, Davis

    AI for Knowledge Workers

    Skills you'll gain: Prompt Engineering, Generative AI, Anthropic Claude, Responsible AI, ChatGPT, LLM Application, Data Ethics, Artificial Intelligence, Brainstorming, Machine Learning, Deep Learning, Workforce Development, Content Creation, Information Privacy

    4.5
    Rating, 4.5 out of 5 stars
    ·
    181 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Python Programming, Random Forest Algorithm

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Applying Data Analytics in Finance

    Skills you'll gain: Portfolio Management, Financial Data, Time Series Analysis and Forecasting, Performance Measurement, Forecasting, Financial Trading, Financial Analysis, R Programming, Trend Analysis, Investment Management, Statistical Analysis, Regression Analysis, Risk Analysis, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    222 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Concurrent Programming with GPUs

    Skills you'll gain: C++ (Programming Language), System Programming, Hardware Architecture, Programming Principles, Computer Architecture, Data Access, Program Development, Algorithms, Python Programming, Computer Programming Tools, Data Sharing, Development Environment

    2.7
    Rating, 2.7 out of 5 stars
    ·
    131 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Graph Theory, Geometry, Applied Machine Learning, Markov Model, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    76 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The Chinese University of Hong Kong

    Information Theory

    Skills you'll gain: Communication Systems, Digital Communications, Theoretical Computer Science, Telecommunications, Informatics, Probability, Probability Distribution, Algorithms, General Mathematics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    164 reviews

    Mixed · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Intel

    AI Essentials

    Skills you'll gain: Artificial Intelligence, AI Product Strategy, Generative AI, Responsible AI, Machine Learning, Business Research, B2B Sales

    4.4
    Rating, 4.4 out of 5 stars
    ·
    716 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Deployment Scenarios with TensorFlow

    Skills you'll gain: Tensorflow, Application Deployment, MLOps (Machine Learning Operations), Deep Learning, Applied Machine Learning, Machine Learning, Distributed Computing, Information Privacy, Web Servers, Application Programming Interface (API), Data Processing, Data Security, Data Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    510 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Computational Social Science Methods

    Skills you'll gain: Social Network Analysis, Social Sciences, Network Analysis, Data Science, Machine Learning, Computational Thinking, Artificial Intelligence, Data Analysis, Simulations, Big Data, Scientific Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    350 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Build Better Generative Adversarial Networks (GANs): DeepLearning.AI
  • IBM AI Enterprise Workflow: IBM
  • Algorithmic Thinking (Part 1): Rice University
  • AI for Knowledge Workers: University of California, Davis
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Applying Data Analytics in Finance: University of Illinois Urbana-Champaign
  • Introduction to Concurrent Programming with GPUs: Johns Hopkins University
  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
  • Information Theory: The Chinese University of Hong Kong
  • AI Essentials : Intel

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