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  • Algorithms Princeton

Results for "algorithms princeton"


  • Status: Free Trial
    Free Trial
    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

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    MATLAB Programming for Engineers and Scientists

    Skills you'll gain: Prompt Engineering, Image Analysis, Data Visualization Software, File I/O, Matlab, Algorithms, User Interface (UI), Applied Machine Learning, ChatGPT, Scatter Plots, Object Oriented Programming (OOP), Digital Signal Processing, Mathematical Software, Computer Programming, Histogram, Predictive Modeling, AI Personalization, Data Processing, Data Analysis, Programming Principles

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    Problem Solving Using Computational Thinking

    Skills you'll gain: Computational Thinking, Programming Principles, Problem Solving, Computer Science, Disaster Recovery, Algorithms, Computer Programming, Public Health

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Machine Learning: Unsupervised Learning

    Skills you'll gain: Feature Engineering, AI Personalization, Statistical Methods, Linear Algebra

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms, Test Data, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    818 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Object Oriented Programming in Java

    Skills you'll gain: Event-Driven Programming, Interactive Data Visualization, Java, Java Programming, Object Oriented Programming (OOP), User Interface (UI), Object Oriented Design, Computer Programming, Algorithms, Software Engineering, Data Structures, Programming Principles, Software Documentation, Development Environment, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    AI & Quantum Computing – Zero to Expert Bootcamp

    Skills you'll gain: Reinforcement Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Tensorflow, Machine Learning, Artificial Intelligence, Artificial Neural Networks, Computer Science, Algorithms, Data Processing, Python Programming

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Machine Learning with Neural Networks

    Skills you'll gain: Bayesian Network, Artificial Neural Networks, Convolutional Neural Networks, Deep Learning, Tensorflow, Machine Learning, Model Evaluation, Network Architecture, Algorithms, Probability Distribution

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Model Evaluation, Artificial Neural Networks, Performance Testing, Performance Tuning, Pseudocode, Linear Algebra, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Visualization (Computer Graphics), Deep Learning, Feature Engineering, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    JavaScript Mastery – Zero to Hero for Interviews

    Skills you'll gain: JSON, Data Structures, Algorithms, Web Development Tools, Javascript, Pseudocode, Development Environment, Integrated Development Environments, Computer Programming, Application Programming Interface (API), Debugging, HTML and CSS, Object Oriented Programming (OOP), Computational Thinking, Performance Tuning, Solution Design

    Beginner · Specialization · 1 - 3 Months

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In summary, here are 10 of our most popular algorithms princeton courses

  • Convolutional Neural Networks: DeepLearning.AI
  • MATLAB Programming for Engineers and Scientists: Vanderbilt University
  • Problem Solving Using Computational Thinking: University of Michigan
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
  • Introduction to Machine Learning: Unsupervised Learning: University of Colorado Boulder
  • Supervised Machine Learning: Regression: IBM
  • Object Oriented Programming in Java: University of California San Diego
  • AI & Quantum Computing – Zero to Expert Bootcamp: Packt
  • Machine Learning with Neural Networks: Dartmouth College
  • Reinforcement Learning: University of Alberta

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