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  • 计算机安全事件管理

Results for "计算机安全事件管理"


  • G

    Google Cloud

    Cloud Spanner について

    Skills you'll gain: Google Cloud Platform, Database Administration, Database Architecture and Administration, Database Management, Data Migration, Cloud Applications, Relational Databases, SQL, Query Languages, Database Design, Systems Administration, Scalability

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning and Data Analytics Part 1

    Skills you'll gain: Exploratory Data Analysis, Data Mining, Dimensionality Reduction, Regression Analysis, Data Analysis, Big Data, Analytics, Feature Engineering, Engineering Analysis, Predictive Modeling, Data Science, Data Processing, Statistical Analysis, Applied Machine Learning, Supervised Learning, Classification And Regression Tree (CART), Data Cleansing, Unsupervised Learning, Machine Learning, Data Transformation

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Serverless Data Processing with Dataflow: Foundations - 日本語版

    Skills you'll gain: Dataflow, Serverless Computing, Identity and Access Management, Data Pipelines, Data Processing, Data Security, Cloud Storage, Google Cloud Platform, Containerization, Scalability

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
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    N

    Northeastern University

    Machine Learning with Small Data Part 1

    Skills you'll gain: Small Data, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Unsupervised Learning, Tensorflow, Machine Learning, Generative AI, Data Synthesis, Supervised Learning, Artificial Intelligence, Computer Vision

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning in the Enterprise - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Workflow Management, Data Governance, Data Management, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Pipelines

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Feature Engineering - 한국어

    Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, Data Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Keras (Neural Network Library), Statistical Methods, Data Transformation, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistics, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Management, Virtual Machines

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    AI with Python: Apply & Implement ML Models

    Skills you'll gain: Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Statistical Analysis

    Mixed · Course · 1 - 4 Weeks

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

    Pearson

    Data Science Fundamentals, Part 2

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Using BigQuery Machine Learning for inference

    Skills you'll gain: Data Analysis, Big Data, Applied Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • C

    Clemson University

    Applied Data Science

    Skills you'll gain: Dimensionality Reduction, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Descriptive Statistics, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Predictive Modeling, Machine Learning, Supervised Learning

    Intermediate · Course · 1 - 3 Months

1…101102103…111

In summary, here are 10 of our most popular 计算机安全事件管理 courses

  • Cloud Spanner について: Google Cloud
  • Machine Learning and Data Analytics Part 1: Northeastern University
  • Serverless Data Processing with Dataflow: Foundations - 日本語版: Google Cloud
  • Machine Learning with Small Data Part 1: Northeastern University
  • Machine Learning in the Enterprise - Português Brasileiro: Google Cloud
  • Feature Engineering - 한국어: Google Cloud
  • Clustering and Classification with Machine Learning in R: Packt
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • AI with Python: Apply & Implement ML Models: EDUCBA
  • Data Science Fundamentals, Part 2: Pearson

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