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    • Matlab

    필터링 기준

    "matlab"에 대한 44개의 결과

    • Vanderbilt University

      Vanderbilt University

      MATLAB Programming for Engineers and Scientists

      획득할 기술: Algorithms, Analysis, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Programming Tools, Computer Vision, Data Analysis, Data Analysis Software, Data Visualization, General Statistics, Linear Algebra, Machine Learning, Mathematics, Matlab, Object-Oriented Programming, Plot (Graphics), Probability & Statistics, Programming Principles, Regression, Theoretical Computer Science

      4.8

      (16.2k개의 검토)

      Beginner · Specialization · 3+ Months

    • Vanderbilt University

      Vanderbilt University

      Introduction to Programming with MATLAB

      획득할 기술: Matlab, Linear Algebra, Data Analysis Software, Data Analysis, Mathematics

      4.8

      (16k개의 검토)

      Beginner · Course · 1-3 Months

    • MathWorks

      MathWorks

      Practical Data Science with MATLAB

      획득할 기술: Analysis, Business Analysis, Computer Graphic Techniques, Computer Graphics, Data Analysis, Data Analysis Software, Data Management, Data Visualization, Exploratory Data Analysis, Extract, Transform, Load, Feature Engineering, General Statistics, Linear Algebra, Machine Learning, Mathematics, Plot (Graphics), Probability & Statistics, Theoretical Computer Science, Web Development

      4.7

      (916개의 검토)

      Beginner · Specialization · 3+ Months

    • MathWorks

      MathWorks

      Image Processing for Engineering and Science

      획득할 기술: Algorithms, Analysis, Computer Graphic Techniques, Computer Graphics, Computer Vision, Data Analysis, Data Analysis Software, General Statistics, Linear Algebra, Machine Learning, Mathematics, Probability & Statistics, Theoretical Computer Science

      4.8

      (19개의 검토)

      Beginner · Specialization · 1-3 Months

    • Vanderbilt University

      Vanderbilt University

      Mastering Programming with MATLAB

      획득할 기술: Computer Program, Matlab, Linear Algebra, Programming Principles, Computer Programming Tools, Object-Oriented Programming, Theoretical Computer Science, Data Analysis Software, Computer Programming, Data Analysis, Mathematics, Computer Graphics

      4.8

      (263개의 검토)

      Intermediate · Course · 1-3 Months

    • 무료

      Stanford University

      Stanford University

      Machine Learning

      획득할 기술: Computer Vision, Computer Networking, General Statistics, Feature Engineering, Econometrics, Linear Algebra, Calculus, Theoretical Computer Science, Artificial Neural Networks, Natural Language Processing, Computer Programming, Probability & Statistics, Differential Equations, Applied Machine Learning, Algorithms, Data Mining, Security Engineering, Regression, Network Security, Distributed Computing Architecture, Data Analysis Software, Statistical Machine Learning, Deep Learning, Probability Distribution, Dimensionality Reduction, Geostatistics, Computer Architecture, Machine Learning Algorithms, Estimation, Other Programming Languages, Mathematics, Data Analysis, Support Vector Machine, Machine Learning

      4.9

      (169.9k개의 검토)

      Mixed · Course · 3+ Months

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      The Hong Kong University of Science and Technology

      The Hong Kong University of Science and Technology

      Mathematics for Engineers

      획득할 기술: Algebra, Calculus, Data Analysis, Data Analysis Software, Differential Equations, Linear Algebra, Mathematical Theory & Analysis, Mathematics, Matrices, Software Engineering, Software Testing

      4.8

      (6k개의 검토)

      Beginner · Specialization · 3+ Months

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      Vanderbilt University

      Vanderbilt University

      Introduction to Data, Signal, and Image Analysis with MATLAB

      획득할 기술: Linear Algebra, General Statistics, Machine Learning, Computer Vision, Process, Matlab, Theoretical Computer Science, Image Processing, Analysis, Data Visualization, Regression, Algorithms, Computer Graphic Techniques, Data Analysis, Plot (Graphics), Data Analysis Software, Computer Graphics, Mathematics, Probability & Statistics

      4.8

      (133개의 검토)

      Intermediate · Course · 1-3 Months

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      MathWorks

      MathWorks

      Predictive Modeling and Machine Learning with MATLAB

      획득할 기술: General Statistics, Data Analysis, Mathematics, Web Development, Data Analysis Software, Probability & Statistics

      4.8

      (98개의 검토)

      Intermediate · Course · 1-4 Weeks

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      University of Pennsylvania

      University of Pennsylvania

      Robotics

      획득할 기술: Algorithms, Applied Machine Learning, Bioinformatics, Computer Programming, Computer Vision, Data Analysis, Data Analysis Software, Entrepreneurship, General Statistics, Geometry, Leadership and Management, Linear Algebra, Machine Learning, Mapping, Mathematics, Matlab, Planning, Probability & Statistics, Statistical Programming, Supply Chain and Logistics, Theoretical Computer Science

      4.4

      (3.6k개의 검토)

      Beginner · Specialization · 3+ Months

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      무료

      University of Washington

      University of Washington

      Computational Neuroscience

      획득할 기술: Artificial Neural Networks, Neuroscience, Python Programming, Marketing, Communication, Computer Programming, Linear Algebra, Other Programming Languages, Reinforcement Learning, Probability & Statistics, Modeling, Data Analysis, Mathematics, Machine Learning Algorithms, Machine Learning, Deep Learning, Statistical Programming, Data Analysis Software

      4.6

      (927개의 검토)

      Beginner · Course · 1-3 Months

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      MathWorks

      MathWorks

      Introduction to Image Processing

      획득할 기술: Probability & Statistics, General Statistics, Theoretical Computer Science, Machine Learning, Linear Algebra, Algorithms, Computer Graphics, Data Analysis Software, Computer Vision, Computer Graphic Techniques, Data Analysis, Mathematics

      4.8

      (19개의 검토)

      Beginner · Course · 1-4 Weeks

    matlab과(와) 관련된 검색

    matlab programming for engineers and scientists
    matlab을 사용한 프로그래밍 소개
    mastering programming with matlab
    data science project: matlab for the real world
    introduction to programming with matlab
    practical data science with matlab
    exploratory data analysis with matlab
    predictive modeling and machine learning with matlab
    1234

    요약하자면, 여기에 가장 인기 있는 matlab 강좌 10개가 있습니다.

    • MATLAB Programming for Engineers and Scientists: Vanderbilt University
    • Introduction to Programming with MATLAB: Vanderbilt University
    • Practical Data Science with MATLAB: MathWorks
    • Image Processing for Engineering and Science: MathWorks
    • Mastering Programming with MATLAB: Vanderbilt University
    • Machine Learning: Stanford University
    • Mathematics for Engineers: The Hong Kong University of Science and Technology
    • Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
    • Predictive Modeling and Machine Learning with MATLAB: MathWorks
    • Robotics: University of Pennsylvania

    Machine Learning에서 학습할 수 있는 스킬

    Python 프로그래밍 (33)
    TensorFlow (32)
    심층 학습 (30)
    인공 신경 회로망 (24)
    빅 데이터 (18)
    통계 분류 (17)
    강화 학습 (13)
    대수학 (10)
    베이지안 (10)
    선형 대수 (10)
    선형 회귀 (9)
    Numpy (9)

    Matlab에 대한 자주 묻는 질문

    • MATLAB is a numerical computing environment and programming language developed by MathWorks. While it is most often used by engineers and scientists, it has evolved in ways that have caused more data scientists, statisticians, economists, and data analysts to use it for their work. Advanced MATLAB is typically used for applications that require linear algebra and numerical optimization.‎

    • We recommend these courses for people with a strong foundation in introductory MATLAB® that wish to expand their skills for data science and machine learning problems. You may wish to use MATLAB to implement supervised and unsupervised machine learning models, or for more advanced concepts in robotics and probabilistic graphical models.‎

    • According to Burning Glass, there were 60,000 job postings in the last 12 months requiring MATLAB as a skill. Some of the functional job titles that require this skill are Software Developer, Computer Systems Engineer, Business Intelligence Analyst, or Operations Research Analyst. Advanced MATLAB skills are very marketable and they can be a powerful addition to your resume.‎

    • Before starting to learn MATLAB, you'll need to have a good understanding of linear algebra and matrix theory to take full advantage of MATLAB's features and understand the underlying principles used in the language. You should also understand the basics of object-oriented programming languages and have experience working with Simulink.‎

    • If you are a data scientist or engineer—or striving to be one—learning MATLAB is likely right for you as it is extremely useful in data plotting, data analysis, other data functions, and designing modern systems and products. Learning MATLAB is also useful for research scholars and scientists who deal with advanced mathematical studies. Professionals in the fields of deep learning, machine learning, computational finance, or image and signal processing may also find that learning MATLAB is right for them.‎

    • Many mathematical topics are related to MATLAB that you can study, including trigonometry, linear algebra, interpolation, differential equations, graphs, network algorithms, and computational geometry. Graphics topics like two- and three-dimensional plots, animation, and images are also related to MATLAB. You can learn more about programming to enhance your study of MATLAB as well as app-building and software development. You can also study other programming languages, such as Java, C, C++, PHP, Python, and ASP since MATLAB can easily interact with other programs written in these languages.‎

    • Places that hire people with a background in MATLAB include science labs, research centers, technology companies, and educational institutions, among others. Major corporations that hire MATLAB developers and engineers who use MATLAB include Apple, Lockheed Martin, Northrop Grumman, Raytheon Technologies, McKean Defense, and Cirrus Logic.‎

    이 FAQ 콘텐츠는 정보 전달 목적만으로 사용할 수 있습니다. 학습자는 과정 및 기타 학점 정보가 개인적, 직업적 및 재정적 목표에 부합하는지 확인하기 위해 추가 조사를 수행하는 것이 좋습니다.
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