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    Results for "教学设计建模 machine learning"

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      PySpark: Apply & Evaluate Predictive ML Models

      Skills you'll gain: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Semantic Segmentation with Amazon Sagemaker

      Skills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Applied Machine Learning, Application Deployment, Machine Learning Algorithms, Data Processing, Computer Vision, Deep Learning, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      92 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Birla Institute of Technology & Science, Pilani

      Logic for Computer Science

      Skills you'll gain: Computational Logic, Logical Reasoning, Deductive Reasoning, Analytical Skills, Theoretical Computer Science, Computational Thinking, Computer Science, Data Analysis, Computer Programming, Verification And Validation, Algorithms, Program Development, Software Development, Machine Learning

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      T

      The University of Tokyo

      Interactive Teaching(インタラクティブ・ティーチング)

      Skills you'll gain: Syllabus Development, Interactive Learning, Student Engagement, Teaching, Lesson Planning, Education and Training, Instructional Strategies, Course Development, Lecturing, Student-Centred Learning, Storytelling, Higher Education, Discussion Facilitation, Public Speaking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      54 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      AI-900 MS Azure AI Fundamentals

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Microsoft Azure, Artificial Intelligence, Data Ethics, Image Analysis, Natural Language Processing, Computer Vision, Applied Machine Learning, Text Mining, Machine Learning, Ethical Standards And Conduct, Accountability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Data Analysis and Interpretation

      Skills you'll gain: Regression Analysis, Data Storytelling, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Data Presentation, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Management, Data Analysis, Predictive Modeling, Data Visualization, Data Literacy, Statistical Modeling, Machine Learning, Statistics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      G

      Google Cloud

      生成 AI: 基本概念の理解

      Skills you'll gain: Generative AI, Large Language Modeling, Google Cloud Platform, Unstructured Data, Artificial Intelligence, Application Security, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Data Quality, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      MATLAB Programming for Engineers and Scientists

      Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Matlab, Algorithms, Machine Learning Methods, User Interface (UI), Applied Machine Learning, Object Oriented Programming (OOP), Statistical Methods, Mathematical Software, Engineering Calculations, Computer Programming, Data Processing, Data Analysis, Engineering Analysis, Programming Principles, Scripting, UI Components, Software Design

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      AI For Everyone (すべての人のためのAIリテラシー講座)

      Skills you'll gain: Artificial Intelligence, Artificial Neural Networks, Digital Transformation, Deep Learning, Team Building, Technical Management, Applied Machine Learning, Machine Learning, Data Ethics, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      293 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Pittsburgh

      Linear Algebra and Regression Fundamentals for Data Science

      Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

      Build toward a degree

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Recommender Systems

      Skills you'll gain: AI Personalization, Machine Learning Algorithms, Taxonomy, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Usability Testing, Exploratory Data Analysis, A/B Testing, Analysis, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Technical Design, System Design and Implementation, Predictive Modeling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      825 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Developing Explainable AI (XAI)

      Skills you'll gain: Data Ethics, Generative AI, Artificial Intelligence, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Information Privacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34 reviews

      Intermediate · Course · 1 - 4 Weeks

    1…838485…491

    In summary, here are 10 of our most popular 教学设计建模 machine learning courses

    • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
    • Semantic Segmentation with Amazon Sagemaker: Coursera Project Network
    • Logic for Computer Science: Birla Institute of Technology & Science, Pilani
    • Interactive Teaching(インタラクティブ・ティーチング): The University of Tokyo
    • AI-900 MS Azure AI Fundamentals: EDUCBA
    • Data Analysis and Interpretation: Wesleyan University
    • 生成 AI: 基本概念の理解: Google Cloud
    • MATLAB Programming for Engineers and Scientists: Vanderbilt University
    • AI For Everyone (すべての人のためのAIリテラシー講座): DeepLearning.AI
    • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh

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