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  • Algorithms Princeton

Results for "algorithms princeton"


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

    DeepLearning.AI

    PyTorch: Fundamentals

    Skills you'll gain: Convolutional Neural Networks, Image Analysis, Data Pipelines, Data Preprocessing, Model Evaluation, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    57 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Java: Non-Linear Data Structures

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Java, Theoretical Computer Science, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Programming in C

    Skills you'll gain: C (Programming Language), Programming Principles, C++ (Programming Language), Algorithms, Data Structures, Other Programming Languages, System Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    92 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    London Business School

    Future Ready Company

    Skills you'll gain: Corporate Sustainability, Environmental Social And Corporate Governance (ESG), Sustainable Business, Digital Transformation, Resilience, Sustainable Development, Operational Risk, Leadership Development, Business Transformation, Business Continuity, Team Motivation, Corporate Strategy, AI Enablement, Business Ethics, Artificial Intelligence and Machine Learning (AI/ML), Organizational Change, Technology Strategies, Leadership Studies, Organizational Leadership, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    206 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
    C

    Coursera

    Data Science Challenge

    Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Model Evaluation, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis, Technical Communication

    4.7
    Rating, 4.7 out of 5 stars
    ·
    202 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    E

    Emory University

    What Can AI Do for Marketing?

    Skills you'll gain: Marketing Analytics, AI Personalization, Data-Driven Decision-Making, Marketing Strategies, Marketing, AI Enablement, Marketing Effectiveness, Responsible AI, Customer experience improvement, Artificial Intelligence, Customer Insights, Data Collection

    4.6
    Rating, 4.6 out of 5 stars
    ·
    54 reviews

    Beginner · Course · 1 - 3 Months

  • 2

    28DIGITAL

    Automated Reasoning: Symbolic Model Checking

    Skills you'll gain: Computational Logic, Theoretical Computer Science, Model Evaluation, Systems Analysis, Graph Theory, Verification And Validation, Algorithms, Data Structures

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Building Cloud Computing Solutions at Scale

    Skills you'll gain: Cloud Deployment, Technical Communication, Cloud Infrastructure, MLOps (Machine Learning Operations), Cloud-Native Computing, Cloud Applications, CI/CD, Cloud Platforms, Cloud Computing, Agile Software Development, DevOps, Technical Documentation, Software Engineering, Distributed Computing, Continuous Delivery, Applied Machine Learning, Cloud Storage, Cloud API, Google Cloud Platform, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    485 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Creatividad computacional

    Skills you'll gain: Creativity, Generative AI, Artificial Intelligence, Computational Thinking, Computer Programming, Computer Graphics, Visualization (Computer Graphics), Algorithms, Musical Composition, Art History, Music Theory

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    GPU Programming

    Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Scalability, Deep Learning, C and C++, Performance Tuning, Convolutional Neural Networks, Data-oriented programming, C++ (Programming Language), Digital Signal Processing, Linear Algebra, Distributed Computing, Computer Graphics, System Programming, Numerical Analysis, Programming Principles, Computer Architecture, Program Development, Machine Learning

    Build toward a degree

    2.8
    Rating, 2.8 out of 5 stars
    ·
    187 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    353 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Cryptography and Hashing Overview

    Skills you'll gain: Blockchain, Cryptography, Encryption, Transaction Processing, Authentications, FinTech, Data Security, Emerging Technologies, Data Integrity, Distributed Computing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    51 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • PyTorch: Fundamentals: DeepLearning.AI
  • Java: Non-Linear Data Structures: Codio
  • Programming in C: University of Michigan
  • Future Ready Company: London Business School
  • Data Science Challenge: Coursera
  • What Can AI Do for Marketing?: Emory University
  • Automated Reasoning: Symbolic Model Checking: 28DIGITAL
  • Building Cloud Computing Solutions at Scale: Duke University
  • Creatividad computacional: Universidad Nacional Autónoma de México
  • GPU Programming: Johns Hopkins University

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