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  • Approximation Algorithm

Results for "approximation algorithm"


  • U

    University of Toronto

    State Estimation and Localization for Self-Driving Cars

    Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Deep Learning, Machine Learning Methods, Computer Vision, Control Systems, Mathematical Modeling, Applied Mathematics, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    839 reviews

    Advanced · Course · 1 - 3 Months

  • G

    Google

    Regression Analysis: Simplify Complex Data Relationships

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Logistic Regression, Statistical Analysis, Analytics, Correlation Analysis, Predictive Modeling, Supervised Learning, Analysis, Statistical Modeling, Machine Learning, Model Evaluation, Variance Analysis, Classification Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    589 reviews

    Advanced · Course · 1 - 3 Months

  • D

    Duke University

    Programming for Python Data Science: Principles to Practice

    Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Data Analysis

    4
    Rating, 4 out of 5 stars
    ·
    96 reviews

    Beginner · Specialization · 3 - 6 Months

  • P

    Politecnico di Milano

    Artificial Intelligence: an Overview

    Skills you'll gain: Machine Learning Methods, Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Intellectual Property, Responsible AI, Legal Risk, Reinforcement Learning, AI Enablement, Artificial Intelligence, Personally Identifiable Information, General Data Protection Regulation (GDPR), AI Security, Dimensionality Reduction, Legal Technology, Taxonomy, Cloud Platforms, Social Impact, Social Studies

    4.6
    Rating, 4.6 out of 5 stars
    ·
    830 reviews

    Beginner · Specialization · 3 - 6 Months

  • A

    Amazon Web Services

    Fundamentals of Machine Learning and Artificial Intelligence

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, AI Enablement, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning, Digital Transformation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3K reviews

    Mixed · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Content Creation and Copywriting

    Skills you'll gain: Infographics, Storyboarding, Canva (Software), Prompt Engineering, Copywriting, Generative AI, Content Creation, Marketing Strategies, Blogs, Collaborative Software, AI Enablement, ChatGPT, MarTech, Graphic Design, Multimedia, Graphic and Visual Design, Brand Awareness, Artificial Intelligence, Search Engine Optimization, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    780 reviews

    Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Generative Model Architectures, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of California San Diego

    Introduction to Graph Theory

    Skills you'll gain: Graph Theory, Combinatorics, Network Analysis, Data Structures, Visualization (Computer Graphics), Algorithms, Mathematical Theory & Analysis, Theoretical Computer Science, Program Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Text Retrieval and Search Engines

    Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Vector Databases, Big Data, Model Evaluation, Web Analytics and SEO, Machine Learning, Information Architecture, Statistical Methods

    4.5
    Rating, 4.5 out of 5 stars
    ·
    964 reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of Michigan

    Data Science Ethics

    Skills you'll gain: Data Ethics, Data Analysis, Social Sciences, Bayesian Statistics, Machine Learning Algorithms, Policy Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Michigan

    Applied Social Network Analysis in Python

    Skills you'll gain: Network Analysis, Social Network Analysis, Graph Theory, Data Analysis, Analysis, Pandas (Python Package), Predictive Analytics, Unsupervised Learning, Matplotlib, Python Programming, Data Import/Export, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.7K reviews

    Intermediate · Course · 1 - 4 Weeks

1…353637…176

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

  • State Estimation and Localization for Self-Driving Cars: University of Toronto
  • Regression Analysis: Simplify Complex Data Relationships: Google
  • Programming for Python Data Science: Principles to Practice: Duke University
  • Artificial Intelligence: an Overview: Politecnico di Milano
  • Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Content Creation and Copywriting: Coursera
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Introduction to Graph Theory: University of California San Diego
  • Text Retrieval and Search Engines: University of Illinois Urbana-Champaign

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