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  • 离散数学

Results for "离散数学"


  • C

    Coursera

    Decision Tree Classifier for Beginners in R

    Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Data Processing, Statistical Modeling, R Programming, Supervised Learning, Machine Learning Algorithms, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for the Google Cloud Professional Data Engineer Exam 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Data Pipelines, Data Processing, Data Infrastructure, Google Cloud Platform, Machine Learning, Cloud Security, Data Analysis, Data Governance, Data Strategy, Data Storage Technologies, Data Migration, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    14 reviews

    Advanced · Course · 1 - 3 Months

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

    University of Michigan

    More Applied Data Science with Python

    Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Data Processing, Anomaly Detection, Machine Learning Methods, Data Science, Supervised Learning, Machine Learning, Data Analysis, Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter, Probability Distribution

    4.3
    Rating, 4.3 out of 5 stars
    ·
    8 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud em Português Brasileiro

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Data Cleansing, Machine Learning Methods, Data Strategy, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Unsupervised Learning, Dataflow, Application Deployment, Data Analysis, Deep Learning, Machine Learning Algorithms, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    92 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Intelligence, Data Ethics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Modeling Data in the Tidyverse

    Skills you'll gain: Exploratory Data Analysis, R Programming, Predictive Modeling, Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Statistical Methods, Probability & Statistics, Machine Learning, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Architecting with Google Kubernetes Engine: Workloads 日本語版

    Skills you'll gain: Kubernetes, Application Deployment, Google Cloud Platform, Identity and Access Management, Cloud-Native Computing, Scalability, Cloud Infrastructure, Containerization, YAML, Load Balancing, Data Storage, Cloud Security, Configuration Management, General Networking, Network Security

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Carbon Aware Computing for GenAI Developers

    Skills you'll gain: Google Cloud Platform, Cloud Computing, Generative AI, Cloud Management, Applied Machine Learning, Spatial Data Analysis, Machine Learning, Real Time Data

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Statistical Methods, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Regression Analysis, Statistical Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Data Science, Predictive Modeling, Statistical Inference, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Peking University

    程序开发项目实践

    Skills you'll gain: Computer Programming, Application Development, Program Development, Information Architecture, Application Design, Query Languages, Algorithms, Software Engineering

    2.9
    Rating, 2.9 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Finalize a Data Science Project

    Skills you'll gain: Applied Machine Learning, Machine Learning, Data Storytelling, Stakeholder Engagement, Data Presentation, Stakeholder Communications, MLOps (Machine Learning Operations), Web Applications, Project Closure, Solution Delivery, Data Visualization, Data Science, Data Pipelines, Communication, Automation

    Intermediate · Course · 1 - 4 Weeks

Searches related to 离散数学

离散数学概论 discrete mathematics generality
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In summary, here are 10 of our most popular 离散数学 courses

  • Decision Tree Classifier for Beginners in R: Coursera
  • Preparing for the Google Cloud Professional Data Engineer Exam 日本語版: Google Cloud
  • More Applied Data Science with Python: University of Michigan
  • Machine Learning with TensorFlow on Google Cloud em Português Brasileiro: Google Cloud
  • Responsible AI for Developers: Interpretability & Transparency: Google Cloud
  • Modeling Data in the Tidyverse: Johns Hopkins University
  • Architecting with Google Kubernetes Engine: Workloads 日本語版: Google Cloud
  • Carbon Aware Computing for GenAI Developers: DeepLearning.AI
  • Machine Learning Essentials: University of Pennsylvania
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM

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