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  • Algorithms Princeton

Results for "algorithms princeton"


  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep MLS-C01: AWS Certified Specialty Machine Learning

    Skills you'll gain: AWS Kinesis, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Scalability, Forecasting, Feature Engineering, Algorithms, Machine Learning, Technical Design, Data Analysis, Real Time Data, Predictive Modeling, Applied Machine Learning, Data Modeling

    3.9
    Rating, 3.9 out of 5 stars
    ·
    40 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Designing Agentive Technology: AI for Human Support

    Skills you'll gain: Agentic systems, Human Computer Interaction, UI/UX Strategy, Interaction Design, Persona (User Experience), User Experience Design, Responsible AI, AI Product Strategy, Artificial Intelligence, Automation, Trustworthiness, Machine Learning, Technology Strategies

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Introduction to Generative AI for Software Development

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Generative AI, Code Review, Program Development, Software Development Methodologies, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    584 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    A

    AI CERTs

    AI For Data Analysts

    Skills you'll gain: Responsible AI, Agentic systems, Data Ethics, Data Pipelines, Real Time Data, No-Code Development, Applied Machine Learning, Machine Learning, Data Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Program Evaluation, Data Processing, Data Collection

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    How Diffusion Models Work

    Skills you'll gain: Generative AI, Generative Model Architectures, Jupyter, Prompt Engineering, Sampling (Statistics), Artificial Neural Networks, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    272 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Python Programming Fundamentals

    Skills you'll gain: Version Control, GitHub, Debugging, Git (Version Control System), Unit Testing, Data Structures, Python Programming, Software Testing, Programming Principles, Scripting, Computer Programming, Web Development, Algorithms, Program Development, Development Environment, Scripting Languages, Integrated Development Environments, Object Oriented Programming (OOP), Jupyter

    4.5
    Rating, 4.5 out of 5 stars
    ·
    451 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    G

    Google Cloud

    生成式 AI:剖析基本概念

    Skills you'll gain: Responsible AI, Generative AI, Google Cloud Platform, Large Language Modeling, Data Modeling, Data Ethics, Unstructured Data, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Graph Analytics for Big Data

    Skills you'll gain: Graph Theory, Database Design, Big Data, Network Analysis, Analytics, Data Management, Query Languages, Computing Platforms, Scalability, Unsupervised Learning, Distributed Computing, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python Programming Fundamentals

    Skills you'll gain: Debugging, Algorithms, Microsoft Visual Studio, Problem Solving, Data Processing, Python Programming, Software Development, Data Analysis

    3.9
    Rating, 3.9 out of 5 stars
    ·
    61 reviews

    Beginner · Course · 1 - 4 Weeks

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

    University of Colorado Boulder

    Foundations of Probability and Statistics

    Skills you'll gain: Probability, Estimation, Probability & Statistics, Probability Distribution, Markov Model, Statistical Methods, Statistical Inference, Bayesian Statistics, Sampling (Statistics), Statistical Analysis, Artificial Intelligence, Generative AI, Statistics, Data Analysis, Data Science, Descriptive Statistics, Machine Learning Algorithms, Mathematical Theory & Analysis

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    320 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    A

    Amazon Web Services

    AWS Artificial Intelligence Practitioner

    Skills you'll gain: Responsible AI, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Amazon Web Services, Artificial Intelligence, Applied Machine Learning, Prompt Engineering, Large Language Modeling, Machine Learning, Data Governance, Cloud Security

    Beginner · Course · 1 - 3 Months

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

  • Exam Prep MLS-C01: AWS Certified Specialty Machine Learning: Whizlabs
  • Designing Agentive Technology: AI for Human Support: Packt
  • Introduction to Generative AI for Software Development: DeepLearning.AI
  • AI For Data Analysts: AI CERTs
  • How Diffusion Models Work: DeepLearning.AI
  • Python Programming Fundamentals: Microsoft
  • 生成式 AI:剖析基本概念: Google Cloud
  • Graph Analytics for Big Data: University of California San Diego
  • Python Programming Fundamentals: Duke University
  • Foundations of Probability and Statistics: University of Colorado Boulder

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