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  • 数学ソフトウェア

Results for "数学ソフトウェア"


  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: Performance Metric, Artificial Intelligence, Strategic Leadership, Responsible AI, Strategic Decision-Making, Data Quality, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Algorithms, Artificial Neural Networks, Data Validation, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Exploring Artificial Intelligence Use Cases and Applications

    Skills you'll gain: Generative AI, Business Metrics, Machine Learning Methods, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Key Performance Indicators (KPIs), Performance Measurement, Performance Metric, AI Product Strategy, Business Solutions

    4.5
    Rating, 4.5 out of 5 stars
    ·
    202 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Matrix Factorization and Advanced Techniques

    Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Advanced Mathematics, Linear Algebra

    4.3
    Rating, 4.3 out of 5 stars
    ·
    189 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Google Workspace Administration 日本語版

    Skills you'll gain: Email Security, Data Loss Prevention, Google Workspace, Gmail, User Provisioning, Mobile Security, Authentications, Threat Management, User Accounts, Cloud Security, Malware Protection, Personally Identifiable Information, Data Security, Cloud Services, Systems Administration, Multi-Factor Authentication, Identity and Access Management, Security Management, Document Management, Data Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    18 reviews

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Preview
    Preview
    X

    Xi'an Jiaotong University

    《论语》的智慧

    Skills you'll gain: Teaching, Human Learning, Leadership, Business Ethics, Ethical Standards And Conduct, Governance, Social Studies, Culture, Human Development, Interpersonal Communications

    4.4
    Rating, 4.4 out of 5 stars
    ·
    45 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for the Google Cloud Professional Cloud Architect Exam 日本語版

    Skills you'll gain: Google Cloud Platform, Cloud Computing Architecture, Technical Design, System Design and Implementation, Cloud Computing, Cloud Security, Solution Architecture, Data Migration, Cloud Infrastructure, Enterprise Architecture, Solution Design, Virtual Machines, Identity and Access Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    36 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Unsupervised Learning, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Data Processing, Feature Engineering, Artificial Intelligence, Data Cleansing, Deep Learning, Statistical Analysis, Predictive Modeling, Classification And Regression Tree (CART), Regression Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Data for Machine Learning

    Skills you'll gain: Feature Engineering, Data Quality, Data Processing, Supervised Learning, Data Validation, Data Cleansing, Machine Learning Methods, Test Data, Data Transformation, Verification And Validation, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Predictive Modeling, Exploratory Data Analysis, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    98 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Packt

    Data Science Essentials: Analysis, Statistics, and ML

    Skills you'll gain: Plotly, NumPy, Probability & Statistics, Dashboard, Statistics, Pandas (Python Package), Data Analysis, Statistical Analysis, Regression Analysis, Data Manipulation, Python Programming, Analytics, Statistical Methods, Applied Machine Learning, Probability, Data Science, Statistical Modeling, Machine Learning, Interactive Data Visualization, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    17 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Transfer Learning for NLP with TensorFlow Hub

    Skills you'll gain: Tensorflow, Natural Language Processing, Keras (Neural Network Library), Text Mining, Applied Machine Learning, Deep Learning, Machine Learning, Software Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    181 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Features and Boundaries

    Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Algorithms, Linear Algebra, Mathematical Modeling, Machine Learning Algorithms, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    53 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 简体中文

    Skills you'll gain: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Artificial Intelligence, Cloud Infrastructure, Machine Learning, Natural Language Processing

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular 数学ソフトウェア courses

  • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
  • Exploring Artificial Intelligence Use Cases and Applications: Amazon Web Services
  • Matrix Factorization and Advanced Techniques: University of Minnesota
  • Google Workspace Administration 日本語版: Google Cloud
  • 《论语》的智慧: Xi'an Jiaotong University
  • Preparing for the Google Cloud Professional Cloud Architect Exam 日本語版: Google Cloud
  • NVIDIA: Fundamentals of Machine Learning: Whizlabs
  • Data for Machine Learning: Alberta Machine Intelligence Institute
  • Data Science Essentials: Analysis, Statistics, and ML: Packt
  • Transfer Learning for NLP with TensorFlow Hub: Coursera

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