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  • Algorithms Princeton

Results for "algorithms princeton"


  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Temporal Logic Model Checking

    Skills you'll gain: Computational Logic, Verification And Validation, Theoretical Computer Science, Systems Design, Model Evaluation, Simulations, Algorithms, Safety and Security

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    P

    Politecnico di Milano

    Derivatives: a guide to calculation

    Skills you'll gain: ChatGPT, Calculus, Derivatives, Mathematical Software, Advanced Mathematics, Applied Mathematics, Mathematics Education, Machine Learning Algorithms, Algebra, Geometry, Mathematical Theory & Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Building and Training Neural Networks with PyTorch

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

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Data Preprocessing, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    43 reviews

    Intermediate · Course · 1 - 3 Months

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

    University of Colorado System

    Foundation and Potential of AI in Healthcare

    Skills you'll gain: Health Systems, Digital Transformation, Healthcare Industry Knowledge, Health Technology, Health Care, Health Informatics, Health Equity, Artificial Intelligence, Chronic Diseases, Machine Learning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists

    Skills you'll gain: Computational Thinking, Debugging, Programming Principles, Technical Communication, Computer Programming, Digital pedagogy, Event-Driven Programming, Program Development, Data Structures, Algorithms, Student Engagement, Visualization (Computer Graphics)

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    O

    O.P. Jindal Global University

    Supervised Learning and Its Applications in Marketing

    Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Analysis, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Machine Learning, Model Deployment, Predictive Modeling, Python Programming, Personalized Service, Data Preprocessing, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Learn to Teach Java: ArrayLists and 2D Arrays

    Skills you'll gain: Java, Computer Programming, Object Oriented Programming (OOP), Test Case, Digital pedagogy, Debugging, Algorithms, Data Structures, Integrated Development Environments

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad de Palermo

    Data Science & Inteligencia Artificial aplicados a negocios

    Skills you'll gain: Responsible AI, Predictive Modeling, Business Transformation, Data-Driven Decision-Making, Business Leadership, Data Science, Business Ethics, Business Analytics, Organizational Change, Innovation, Strategic Leadership, AI Security, Artificial Intelligence, Natural Language Processing, Machine Learning, Computer Vision, IT Service Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Temporal Logic Model Checking : University of Colorado Boulder
  • Derivatives: a guide to calculation: Politecnico di Milano
  • Building and Training Neural Networks with PyTorch: Packt
  • Foundations and Core Concepts of PyTorch: Packt
  • Foundation and Potential of AI in Healthcare : University of Colorado System
  • Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists: University of California San Diego
  • Supervised Learning and Its Applications in Marketing: O.P. Jindal Global University
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Learn to Teach Java: ArrayLists and 2D Arrays: University of California San Diego
  • Machine Learning: Random Forest with Python from Scratch©: Packt

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