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Results for "microsoft 服务器"


  • Status: Free Trial
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    P

    Packt

    Foundations of Deep Learning and Neural Networks

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Image Analysis, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Computer Vision, Artificial Intelligence, Machine Learning, Linear Algebra

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Keras (Neural Network Library), Data Processing, Data Analysis, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Computer Vision, Data Visualization, Machine Learning, Performance Tuning

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Untersuchen und Erstellen von Daten für Unternehmen

    Skills you'll gain: Descriptive Statistics, Statistical Inference, Sampling (Statistics), Histogram, Data Analysis, Probability & Statistics, Data Presentation, Statistical Analysis, Quantitative Research, Microsoft Excel, Statistical Methods, Probability Distribution, Graphing, Influencing

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors

    Skills you'll gain: MySQL, Google Cloud Platform, Data Mining, Database Administration, Microsoft SQL Servers, Cloud API, PostgreSQL, Metadata Management

    4.8
    Rating, 4.8 out of 5 stars
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    12 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: New
    New
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    Free Trial
    C

    Coursera

    Advanced Data Science Techniques (with AWS Integration)

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Amazon Web Services, Applied Machine Learning, Advanced Analytics, Machine Learning Methods, Cloud Development, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Machine Learning, Statistical Analysis, MLOps (Machine Learning Operations), Predictive Analytics, Predictive Modeling, Machine Learning Algorithms, Supervised Learning, Regression Analysis

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning Operations with Vertex AI: Model Evaluation

    Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Predictive Modeling, System Monitoring, Google Cloud Platform, Data Ethics, Responsible AI, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Create Image Captioning Models - 繁體中文

    Skills you'll gain: Image Analysis, Generative AI, Deep Learning, Generative Model Architectures, Large Language Modeling, Applied Machine Learning, Computer Vision

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Predicting Extreme Climate Behavior with Machine Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Data Science, Classification And Regression Tree (CART), Statistical Analysis, Predictive Modeling, Artificial Neural Networks, Data Processing, Feature Engineering

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
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    Preview
    C

    Coursera

    Azure Data Engineering: Cosmos DB, SQL & Analytics

    Skills you'll gain: Dashboard, Azure Synapse Analytics, Microsoft Azure, Transact-SQL, Microsoft SQL Servers, Data Storage, Data Presentation, Data Architecture, Performance Tuning, Query Languages, SQL, NoSQL, Data Processing, Cloud Solutions, Analytics, Cloud Computing Architecture, Process Optimization, Data Modeling, System Monitoring, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Methodology and Ethics in AI

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Debugging, Artificial Intelligence, Machine Learning, Bayesian Statistics, Applied Machine Learning, Artificial Neural Networks, Data-Driven Decision-Making, Information Privacy, Case Studies

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Financial & Technical Skills for Business Success

    Skills you'll gain: Spreadsheet Software, Financial Statements, Financial Statement Analysis, Financial Acumen, Excel Formulas, Microsoft Excel, Content Marketing, Balance Sheet, Profit and Loss (P&L) Management, Cash Flows, Registration, Web Servers

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Artificial Intelligence in Social Media Analytics

    Skills you'll gain: Social Network Analysis, Machine Learning, Natural Language Processing, Text Mining, Analytics, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), Unsupervised Learning, Semantic Web, Data Processing

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular microsoft 服务器 courses

  • Foundations of Deep Learning and Neural Networks: Packt
  • Deep Learning with Keras and Practical Applications: Packt
  • Untersuchen und Erstellen von Daten für Unternehmen: University of Illinois Urbana-Champaign
  • Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors: Google Cloud
  • Advanced Data Science Techniques (with AWS Integration): Coursera
  • Machine Learning Operations with Vertex AI: Model Evaluation: Google Cloud
  • Create Image Captioning Models - 繁體中文: Google Cloud
  • Predicting Extreme Climate Behavior with Machine Learning : University of Colorado Boulder
  • Azure Data Engineering: Cosmos DB, SQL & Analytics: Coursera
  • Practical Methodology and Ethics in AI: Johns Hopkins University

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