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  • 离散数学

Results for "离散数学"


  • Status: Preview
    Preview
    U

    University of London

    모두를 위한 머신 러닝

    Skills you'll gain: Applied Machine Learning, Artificial Intelligence, Machine Learning, Computer Vision, Data Literacy, Data Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Forecast bikeshare demand using time series models in R

    Skills you'll gain: R Programming, R (Software), Data Visualization, Time Series Analysis and Forecasting, Interactive Data Visualization, Tidyverse (R Package), Data-Driven Decision-Making, Trend Analysis, Rmarkdown, Data Processing, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Revenue Management, Forecasting, Business Strategy, Demand Planning, Machine Learning

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Open Source LLMOps Solutions

    Skills you'll gain: LLM Application, Large Language Modeling, Generative Model Architectures, Natural Language Processing, Open Source Technology, Prompt Engineering, Containerization, Application Deployment, Application Programming Interface (API), Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    Saïd Business School, University of Oxford

    AI Fundamentals in Financial Services

    Skills you'll gain: Financial Services, Artificial Intelligence, FinTech, Financial Regulation, Banking, Fraud detection, Machine Learning, Data Ethics, Natural Language Processing, AI Personalization, Deep Learning, Credit Risk, Data-Driven Decision-Making, Case Studies, Reinforcement Learning, Big Data, Algorithms, Data Management, Customer Service

    4.7
    Rating, 4.7 out of 5 stars
    ·
    43 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Leeds

    How to Get Into AI

    Skills you'll gain: Responsible AI, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Automation, Machine Learning, Natural Language Processing, Regulation and Legal Compliance

    3.9
    Rating, 3.9 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Getting Started with Google Workspace 日本語版

    Skills you'll gain: Google Docs, Google Sheets, Gmail, Google Workspace, Calendar Management, Presentations, Spreadsheet Software, Data Validation, Setting Appointments, Excel Formulas, Excel Macros, Collaborative Software, Data Visualization, Email Automation, Email Security, Meeting Facilitation, Version Control, Data Management, Organizational Skills, Scheduling

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

    Skills you'll gain: Responsible AI, Machine Learning, Data Ethics, Predictive Analytics, Statistical Modeling, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Machine Learning Algorithms, Decision Tree Learning, Data Analysis, Regression Analysis, Performance Analysis, Deep Learning, Artificial Neural Networks

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Capstone Project: Advanced AI for Drug Discovery

    Skills you'll gain: Feature Engineering, Bioinformatics, Dimensionality Reduction, Predictive Modeling, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Pandas (Python Package), Drug Development, Unsupervised Learning, Scikit Learn (Machine Learning Library), Data Manipulation, Molecular Biology, Regression Analysis, Machine Learning Algorithms, Exploratory Data Analysis, Machine Learning

    2.1
    Rating, 2.1 out of 5 stars
    ·
    20 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    B

    Board Infinity

    The Rise of Generative AI

    Skills you'll gain: Generative AI, Artificial Neural Networks, Generative Model Architectures, Artificial Intelligence, ChatGPT, Large Language Modeling, Deep Learning, Machine Learning, Responsible AI

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Build Regression, Classification, and Clustering Models

    Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Regression Analysis, Machine Learning Algorithms, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Feature Engineering, Classification And Regression Tree (CART), Performance Tuning, Dimensionality Reduction, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Mining Quality Prediction Using Machine & Deep Learning

    Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Decision Tree Learning, Deep Learning, Statistical Analysis, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Pandas (Python Package), Python Programming, Software Visualization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    69 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Coursera

    8 Most Controversial Terms in AI, Explained

    Skills you'll gain: Artificial Intelligence, Responsible AI, Generative AI, Open Source Technology, Large Language Modeling, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    31 reviews

    Beginner · Course · 1 - 3 Months

Searches related to 离散数学

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In summary, here are 10 of our most popular 离散数学 courses

  • 모두를 위한 머신 러닝: University of London
  • Forecast bikeshare demand using time series models in R: Coursera
  • Open Source LLMOps Solutions: Duke University
  • AI Fundamentals in Financial Services: Saïd Business School, University of Oxford
  • How to Get Into AI: University of Leeds
  • Getting Started with Google Workspace 日本語版: Google Cloud
  • Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls: SAS
  • Capstone Project: Advanced AI for Drug Discovery: LearnQuest
  • The Rise of Generative AI: Board Infinity
  • Build Regression, Classification, and Clustering Models: CertNexus

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