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  • Algorithms Princeton

Results for "algorithms princeton"


  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Business Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, Business Analysis, Data-Driven Decision-Making, Data Analysis, AI Enablement, Data Storytelling, Artificial Intelligence, Business Process Automation, Stakeholder Communications, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Deep Learning, Business Strategy, Machine Learning, Context Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Beginner · Specialization · 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: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science: Statistics and Machine Learning

    Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7.2K reviews

    Intermediate · Specialization · 3 - 6 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

  • Status: Preview
    Preview
    U

    University of London

    Machine Learning for All

    Skills you'll gain: Data Preprocessing, Machine Learning, Artificial Intelligence, Model Evaluation, Data Analysis, Image Analysis, Data Collection, Classification Algorithms

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Autoencoders, Feature Engineering, Unsupervised Learning, Supervised Learning, 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), Deep Learning, Data Analysis, Machine Learning, Data Science, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)

    Skills you'll gain: Artificial Intelligence, Logical Reasoning, Computer Science, Programming Principles, Algorithms, Simulations, Game Theory, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
    ·
    322 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Genome Sequencing (Bioinformatics II)

    Skills you'll gain: Bioinformatics, Molecular Biology, Microbiology, Infectious Diseases, Biotechnology, Computational Thinking, Algorithms, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    324 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Cleveland Clinic

    Machine Learning in Healthcare: Foundations and Applications

    Skills you'll gain: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Healthcare Industry Knowledge, Health Informatics, Applied Machine Learning, Clinical Informatics, Health Care, Supervised Learning, Clinical Experience, Emerging Technologies, Artificial Intelligence, Reinforcement Learning, Data-Driven Decision-Making, Data Science

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, AI Enablement, Responsible AI, Data Visualization, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Data Science, AI Workflows, Data Synthesis, Data Preprocessing, Data Analysis, Deep Learning, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • Generative AI for Business Analysts: IBM
  • Object Oriented Programming in Java: University of California San Diego
  • AI & Quantum Computing – Zero to Expert Bootcamp: Packt
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Data Science: Statistics and Machine Learning: Johns Hopkins University
  • Reinforcement Learning: University of Alberta
  • Machine Learning for All: University of London
  • IBM Machine Learning: IBM
  • 人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic): National Taiwan University
  • Genome Sequencing (Bioinformatics II): University of California San Diego

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