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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
    D

    DeepLearning.AI

    Data Modeling, Transformation, and Serving

    Skills you'll gain: Data Modeling, Data Transformation, Data Processing, Data Warehousing, Apache Hadoop, Extract, Transform, Load, Data Pipelines, Apache Spark, Feature Engineering, Data Manipulation, Star Schema, Applied Machine Learning, Real Time Data, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    88 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

    Skills you'll gain: Big Data, Apache Spark, Data Storage Technologies, Apache Hadoop, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Cloud Computing, Real Time Data, Databases, Analytics, Deep Learning, Scalability, Machine Learning Algorithms, Graph Theory, Machine Learning, Live Streaming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    342 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Semantic Segmentation with Amazon Sagemaker

    Skills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Applied Machine Learning, Application Deployment, Machine Learning Algorithms, Computer Vision, Deep Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    94 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Forecasting, Data Processing, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling, Data Transformation, Data Cleansing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Modelos predictivos con aprendizaje automático

    Skills you'll gain: Data Ethics, Predictive Modeling, Classification And Regression Tree (CART), Statistical Machine Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Python Programming, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
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    78 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Vertex Pipelines: Qwik Start

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Applied Machine Learning, Data Pipelines, CI/CD, Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • Status: Free
    Free
    A

    Amazon Web Services

    Developing Machine Learning Solutions

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Machine Learning, Applied Machine Learning, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    95 reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    MongoDB Inc.

    MongoDB Aggregation Framework

    Skills you'll gain: Data Transformation, MongoDB, Data Manipulation, Data Processing, NoSQL, Data Migration, Data Analysis, Query Languages, Data Structures, Network Analysis, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    66 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Predictive Modeling, Model Fitting, and Regression Analysis

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Classification And Regression Tree (CART), Regression Analysis, Decision Tree Learning, Statistical Modeling, Supervised Learning, Data Analysis, Forecasting, Machine Learning, Unsupervised Learning, Statistical Analysis, Time Series Analysis and Forecasting

    4.5
    Rating, 4.5 out of 5 stars
    ·
    73 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to Responsible AI - 繁體中文

    Skills you'll gain: Responsible AI, Artificial Intelligence, Data Ethics, AI Product Strategy, Business Architecture

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Python Programming, Random Forest Algorithm

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Español

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Supervised Learning, Machine Learning Algorithms, Data Strategy, Artificial Neural Networks, Data Pipelines, Performance Tuning, Deep Learning, Data Transformation, Data Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    448 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Data Modeling, Transformation, and Serving: DeepLearning.AI
  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
  • Semantic Segmentation with Amazon Sagemaker: Coursera
  • Foundations of Machine Learning: Coursera
  • Modelos predictivos con aprendizaje automático: Universidad de los Andes
  • Vertex Pipelines: Qwik Start: Google Cloud
  • Developing Machine Learning Solutions: Amazon Web Services
  • MongoDB Aggregation Framework: MongoDB Inc.
  • Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine
  • Introduction to Responsible AI - 繁體中文: Google Cloud

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