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  • Implementing Optimizing Algorithms

Results for "implementing optimizing algorithms"


  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Data Structures and Algorithms

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Computer Programming, Computational Thinking, Memory Management, Software Visualization, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    Optimize AI: Plan, Evaluate, and Learn

    Skills you'll gain: Risk Management, Risk Analysis, Risk Management Framework, Decision Making, Model Training, Continuous Deployment, Strategic Decision-Making, Operational Analysis, Release Management, Project Planning, Predictive Modeling, A/B Testing, Business Priorities, Algorithms, Experimentation, Applied Machine Learning, Advanced Analytics, Procedure Development, Product Planning, Product Development

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Algorithmic Solutions: Design, Problem Solving, Reporting

    Skills you'll gain: Algorithms, Technical Communication, Computational Thinking, Solution Design, Programming Principles, Software Design, Theoretical Computer Science, Technical Writing, Data Structures, Applied Mathematics

    4.3
    Rating, 4.3 out of 5 stars
    ·
    28 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of London

    Problems, Algorithms and Flowcharts

    Skills you'll gain: Pseudocode, Algorithms, Computer Science, Data Structures, Diagram Design

    4.4
    Rating, 4.4 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    AI and Machine Learning Algorithms and Techniques

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Generative Model Architectures, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Machine Learning Algorithms, Model Training, Artificial Neural Networks, Feature Engineering, Unstructured Data, Model Evaluation, Dimensionality Reduction, Model Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    64 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Master Data Structures & Algo – Ace Leetcode & Blind 75+

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Programming Principles, Computational Thinking

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
    T

    The Chinese University of Hong Kong

    离散优化算法篇 Solving Algorithms for Discrete Optimization

    Skills you'll gain: Model Optimization, Operations Research, Applied Mathematics, Algorithms, Numerical Analysis, Mathematical Modeling, Combinatorics, Computational Logic, Performance Tuning, Programming Principles, Theoretical Computer Science, Linear Algebra

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning for Engineers: Algorithms and Applications

    Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Machine Learning Methods, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Model Optimization, Model Training, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Dimensionality Reduction, Complex Problem Solving

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Simulation, Algorithm Analysis, and Pointers

    Skills you'll gain: File I/O, Simulations, C (Programming Language), Computational Thinking, Automation, Algorithms, Data Structures, Programming Principles, Memory Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    36 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Introduction to Fundamental Data Structures and Techniques

    Skills you'll gain: Data Structures, Algorithms, Programming Principles, Computational Thinking

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Delivery Problem

    Skills you'll gain: Combinatorics, Theoretical Computer Science, Algorithms, Graph Theory, Computational Thinking, Applied Mathematics, Python Programming, Program Development, Mathematical Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    376 reviews

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Optimize AI: Build Reusable Model Pipelines

    Skills you'll gain: Model Optimization, Model Deployment, AI Workflows, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Version Control

    Intermediate · Course · 1 - 4 Weeks

1…789…300

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

  • Advanced Data Structures and Algorithms: Packt
  • Optimize AI: Plan, Evaluate, and Learn: Coursera
  • Algorithmic Solutions: Design, Problem Solving, Reporting: Coursera
  • Problems, Algorithms and Flowcharts: University of London
  • AI and Machine Learning Algorithms and Techniques: Microsoft
  • Master Data Structures & Algo – Ace Leetcode & Blind 75+: Packt
  • 离散优化算法篇 Solving Algorithms for Discrete Optimization: The Chinese University of Hong Kong
  • Machine Learning for Engineers: Algorithms and Applications: Northeastern University
  • Simulation, Algorithm Analysis, and Pointers: University of Colorado System
  • Introduction to Fundamental Data Structures and Techniques: Packt

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