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    • Introduction Optimization
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    Results for "introduction optimization"

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Divide and Conquer, Sorting and Searching, and Randomized Algorithms

      Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Analysis, Computer Science, Probability & Statistics, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      First Principles of Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, 3D Modeling, Photography, Virtual Reality, Visualization (Computer Graphics), Medical Imaging, Artificial Neural Networks, Unsupervised Learning, Graph Theory, Dimensionality Reduction, Mathematical Modeling, Estimation, Machine Learning Algorithms, Machine Learning, Color Theory, Algorithms, Automation Engineering, Electronic Components

      4.7
      Rating, 4.7 out of 5 stars
      ·
      222 reviews

      Beginner · Specialization · 3 - 6 Months

    • E

      EIT Digital

      I/O-efficient algorithms

      Skills you'll gain: Data Structures, Theoretical Computer Science, Data Storage Technologies, Algorithms, Graph Theory, File Systems, Data Access, Performance Tuning, Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60 reviews

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      B

      Birla Institute of Technology & Science, Pilani

      Algorithm Design: Mastering Computational Problem Solving

      Skills you'll gain: Computer Science, Problem Solving, Mathematical Theory & Analysis, Scalability

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Program Structure and Algorithms Part 2

      Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Computational Thinking, Data Structures, Graph Theory, Network Analysis, Probability, Probability & Statistics, Analysis

      Mixed · Course · 1 - 3 Months

    • E

      EIT Digital

      Approximation Algorithms

      Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Theoretical Computer Science, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

      Skills you'll gain: Algorithms, Graph Theory, Theoretical Computer Science, Computational Thinking, Data Structures, Operations Research, Design Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      826 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Optimize TensorFlow Models For Deployment with TensorRT

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Performance Tuning, Machine Learning Methods, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      76 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      P

      Princeton University

      Computer Science: Algorithms, Theory, and Machines

      Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Computational Thinking, Java Programming, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      720 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

      Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      A

      Arm

      Optimizing Generative AI on Arm Processors

      Skills you'll gain: Generative AI, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Tensorflow, Applied Machine Learning, Application Deployment, Performance Tuning, Hardware Architecture, Computer Architecture, Deep Learning, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Algorithmic Toolbox

      Skills you'll gain: Algorithms, Program Development, Debugging, Development Testing, Test Engineering, Software Testing, Computational Thinking, Test Case, Computer Programming, Programming Principles, Data Structures, Theoretical Computer Science, Bioinformatics, Design Strategies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13K reviews

      Intermediate · Course · 1 - 3 Months

    1…240241242243

    In summary, here are 10 of our most popular introduction optimization courses

    • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford University
    • First Principles of Computer Vision: Columbia University
    • I/O-efficient algorithms: EIT Digital
    • Algorithm Design: Mastering Computational Problem Solving: Birla Institute of Technology & Science, Pilani
    • Program Structure and Algorithms Part 2: Northeastern University
    • Approximation Algorithms: EIT Digital
    • Shortest Paths Revisited, NP-Complete Problems and What To Do About Them: Stanford University
    • Optimize TensorFlow Models For Deployment with TensorRT: Coursera Project Network
    • Computer Science: Algorithms, Theory, and Machines: Princeton University
    • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University

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