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  • 介绍 Azure机器学习的基本原理

Results for "介绍 azure 机器学习的基本原理"


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Advanced AI and Machine Learning Techniques and Capstone

    Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Applied Machine Learning, Data Ethics, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, MLOps (Machine Learning Operations), Ethical Standards And Conduct, Microsoft Azure, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to Large Language Models - 简体中文

    Skills you'll gain: LLM Application, Prompt Engineering, Large Language Modeling, Prompt Patterns, Google Gemini, Generative AI

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University at Buffalo

    Blockchain Platforms

    Skills you'll gain: Blockchain, Emerging Technologies, Distributed Computing, Microsoft Azure, FinTech, Cloud Computing Architecture, Platform As A Service (PaaS), Cryptographic Protocols, Transaction Processing, Open Source Technology, Scalability, Data Storage Technologies, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    AI Product Management: The Complete Handbook

    Skills you'll gain: AI Product Strategy, Product Management, Commercialization, Technical Product Management, Product Lifecycle Management, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Product Strategy, User Interface and User Experience (UI/UX) Design, Product Design, Responsible AI, Data Infrastructure, Generative AI, Digital Transformation, Team Performance Management, Machine Learning, Data-Driven Decision-Making, Deep Learning

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Machine Learning, Calculus

    4
    Rating, 4 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Artificial Neural Networks, Performance Testing, Linear Algebra, Performance Tuning, Predictive Modeling, Pseudocode, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 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, Developing Training Materials, Design, Storytelling, Higher Education, Discussion Facilitation, Public Speaking

    4.9
    Rating, 4.9 out of 5 stars
    ·
    54 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    A Crash Course in Data Science

    Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Predictive Modeling, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8.4K reviews

    Beginner · Course · 1 - 4 Weeks

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

    EDUCBA

    Machine Learning with Python & Statistics

    Skills you'll gain: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Linear Algebra, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Statistics, Machine Learning Algorithms, Machine Learning, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Applied Natural Language Processing in Engineering Part 1

    Skills you'll gain: Natural Language Processing, Artificial Intelligence, Artificial Neural Networks, Deep Learning, Machine Learning, Unstructured Data, Supervised Learning, Linear Algebra, Probability Distribution

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Google データアナリティクス

    Skills you'll gain: Rmarkdown, Data Presentation, Data Ethics, Data Storytelling, Data Visualization, Data Cleansing, Stakeholder Communications, Analytical Skills, Data-Driven Decision-Making, Stakeholder Management, Interactive Data Visualization, Data Visualization Software, Data Validation, Dashboard, Ggplot2, Interviewing Skills, Case Studies, Data Access, Spreadsheet Software, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    613 reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

    EDUCBA

    NoSQL Databases: Analyze & Implement Scalable Systems

    Skills you'll gain: NoSQL, Big Data, Data Pipelines, Databases, Real Time Data, Scalability, Distributed Computing, Data Processing, Database Architecture and Administration, Data Integrity, Machine Learning Algorithms, Machine Learning

    Mixed · Course · 1 - 4 Weeks

1…545556…149

In summary, here are 10 of our most popular 介绍 azure 机器学习的基本原理 courses

  • Advanced AI and Machine Learning Techniques and Capstone: Microsoft
  • Introduction to Large Language Models - 简体中文: Google Cloud
  • Blockchain Platforms: University at Buffalo
  • AI Product Management: The Complete Handbook: Packt
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Reinforcement Learning: University of Alberta
  • Interactive Teaching(インタラクティブ・ティーチング): The University of Tokyo
  • A Crash Course in Data Science: Johns Hopkins University
  • Machine Learning with Python & Statistics: EDUCBA
  • Applied Natural Language Processing in Engineering Part 1: Northeastern University

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