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    Results for "algorithms"

    • Status: New
      New
      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
      ·
      208 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      First Principles of Computer Vision

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      215 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Prediction and Control with Function Approximation

      Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      836 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      C for Everyone: Structured Programming

      Skills you'll gain: C (Programming Language), Debugging, C++ (Programming Language), Data Structures, Computer Programming, Command-Line Interface, Algorithms, Integrated Development Environments, Program Development, File Systems

      4.6
      Rating, 4.6 out of 5 stars
      ·
      770 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      A Complete Reinforcement Learning System (Capstone)

      Skills you'll gain: Reinforcement Learning, Solution Architecture, Artificial Intelligence, Performance Testing, Artificial Neural Networks, Machine Learning Algorithms, Markov Model, Algorithms, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      641 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Feature Engineering

      Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Real Time Data, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • N

      Northeastern University

      Data Privacy Fundamentals

      Skills you'll gain: Information Privacy, Personally Identifiable Information, Data Ethics, Law, Regulation, and Compliance, Journalism, Emerging Technologies, Media and Communications, Internet Of Things, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      680 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Build Better Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Data Ethics, Deep Learning, Machine Learning, Image Analysis, Artificial Neural Networks, Performance Testing, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      681 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Practical Machine Learning

      Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, R Programming, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Processing, Data Collection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Time Series Analysis and Forecasting, Jupyter, Dimensionality Reduction

      4.8
      Rating, 4.8 out of 5 stars
      ·
      710 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Production Machine Learning Systems

      Skills you'll gain: MLOps (Machine Learning Operations), Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Applied Machine Learning, Machine Learning, Distributed Computing, Scalability, Data Pipelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Classification

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      411 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to algorithms

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    1…293031…120

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

    • Python Programming Fundamentals: Microsoft
    • First Principles of Computer Vision: Columbia University
    • Prediction and Control with Function Approximation: University of Alberta
    • C for Everyone: Structured Programming: University of California, Santa Cruz
    • A Complete Reinforcement Learning System (Capstone): University of Alberta
    • Feature Engineering: Google Cloud
    • Data Privacy Fundamentals: Northeastern University
    • Build Better Generative Adversarial Networks (GANs): DeepLearning.AI
    • Practical Machine Learning: Johns Hopkins University
    • TensorFlow 2 for Deep Learning: Imperial College London

    Skills you can learn in Algorithms

    Graphs (22)
    Mathematical Optimization (21)
    Computer Program (20)
    Data Structure (19)
    Problem Solving (19)
    Algebra (12)
    Computer Vision (10)
    Discrete Mathematics (10)
    Graph Theory (10)
    Image Processing (10)
    Linear Algebra (10)
    Reinforcement Learning (10)

    Frequently Asked Questions about Algorithms

    Coursera's algorithms courses offer valuable skills that are foundational in computer science:

    • Understanding and implementing basic and advanced algorithms
    • Analyzing algorithm efficiency and complexity
    • Designing data structures to optimize software applications
    • Problem-solving techniques for tackling computational challenges
    • Application of algorithms in real-world scenarios, like sorting, searching, and graph operations
    • Hands-on programming skills to implement algorithms in various programming languages ‎

    Algorithm courses on Coursera are suitable for all experience levels:

    • Beginners can start with courses that introduce basic concepts and simple algorithms.
    • Those with some background might choose intermediate courses focusing on more complex algorithms and their applications.
    • Advanced courses are suitable for those who have a strong foundation in computer science and want to deepen their understanding of algorithmic theory and applications.‎

    Coursera offers several ways to validate your skills in algorithms:

    • Professional certificates designed to help build and showcase your analytical skills in technical roles.
    • Specialized course certificates that document your learning in particular aspects of algorithms, such as cryptographic methods or data structures.
    • Credentials developed in partnership with respected computer science institutions, adding recognized value to your educational achievements.‎

    Skills in algorithms are crucial for a variety of technical careers:

    • Software Engineer, developing efficient, scalable software
    • Data Analyst, using algorithms to process and analyze large data sets
    • Machine Learning Engineer, applying algorithms to build and train intelligent systems
    • Operations Research Analyst, optimizing and improving business processes
    • Academic Researcher, contributing to the advancement of computational theories and practices‎
    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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