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  • Algorithms Princeton

Results for "algorithms princeton"


  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Build AI Apps Like a Pro: No-Code Tools for Beginners

    Skills you'll gain: User Story, Prompt Engineering, No-Code Development, User Feedback, Technical Communication, Application Deployment, AI Security, Performance Tuning, Data Wrangling, Version Control, Business Process Automation, API Testing, LLM Application, DevSecOps, Site Reliability Engineering, Integration Testing, Application Security, Application Programming Interface (API), Agile Methodology, Data Integration

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Model Evaluation, Logistic Regression, Theoretical Computer Science, Classification Algorithms, Mathematical Theory & Analysis, Probability & Statistics, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    A Crash Course in Data Science

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Recommender Systems: Non-Personalized and Content-Based

    Skills you'll gain: Taxonomy, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Persona Development, Information Architecture, Text Mining, Descriptive Statistics, Algorithms, Computer Programming, Java Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    658 reviews

    Intermediate · Course · 1 - 3 Months

  • H

    Heriot-Watt University

    MSc Computer Science

    Skills you'll gain: Artificial Intelligence, Graph Theory, Database Development, Database Architecture and Administration, NoSQL, Computational Logic, Java, Object Oriented Programming (OOP), Data Structures, Natural Language Processing, Computer Programming, Algorithms, Program Development, Programming Principles, Combinatorics, Theoretical Computer Science, Big Data, Reinforcement Learning, Computational Thinking, Artificial Neural Networks

    Earn a degree

    Degree · 1 - 4 Years

  • Status: New
    New
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    I

    Illinois Tech

    AI Integration in Healthcare Patient Data

    Skills you'll gain: Clinical Informatics, Data Ethics, Health Informatics, Responsible AI, Electronic Medical Record System, Health Care, Health Technology, Clinical Data Management, Healthcare Ethics, Artificial Intelligence, Natural Language Processing, Decision Support Systems, Machine Learning, Data Quality, Generative AI

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Concurrency in Go

    Skills you'll gain: Go (Programming Language), Algorithms, System Programming, Operating Systems, Computer Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    793 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Generative AI Agents, LangChain, Large Language Modeling, Vision Transformer (ViT), ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Model Deployment, OpenAI API, Google Cloud Platform, Open Source Technology, Embeddings, Machine Learning, Python Programming, Probability & Statistics

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    Northwestern University

    Modern Robotics, Course 3: Robot Dynamics

    Skills you'll gain: Robotics, Simulation and Simulation Software, Mathematical Modeling, Mechanical Engineering, Vibrations, Algorithms, Torque (Physics), Control Systems, Applied Mathematics, Calculus, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
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    173 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Practical Quantum Computing with IBM Qiskit for Beginners

    Skills you'll gain: IBM Cloud, Cryptography, Algorithms, Python Programming, Linear Algebra, Computational Thinking, Jupyter, Simulation and Simulation Software, Physics, Software Installation, Development Environment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Introduction to Statistics & Data Analysis in Public Health

    Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Decentralized Finance (DeFi): The Future of Finance

    Skills you'll gain: Blockchain, Loans, Lending and Underwriting, FinTech, Cyber Risk, Operational Risk, Scalability, Regulatory Compliance, Interoperability, Commercial Lending, Payment Systems, General Lending, Risk Management, Financial Inclusion, Derivatives, Key Management, Cryptography, Finance, Entrepreneurial Finance, Entrepreneurship

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Build AI Apps Like a Pro: No-Code Tools for Beginners: Coursera
  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • A Crash Course in Data Science: Johns Hopkins University
  • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
  • MSc Computer Science: Heriot-Watt University
  • AI Integration in Healthcare Patient Data: Illinois Tech
  • Concurrency in Go: University of California, Irvine
  • Generative AI Fundamentals: Alberta Machine Intelligence Institute
  • Modern Robotics, Course 3: Robot Dynamics: Northwestern University
  • Practical Quantum Computing with IBM Qiskit for Beginners: Packt

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