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  • Machine Learning

自动化学徒课程

自动学徒课程可帮助您了解如何构建、生成和分析预判定模型。您可以培养在数据准备、算法选择、优化和评估方面的能力。许多课程利用有源数据库测试模型。


自动学徒课程和通用证书


  • E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), Automation, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Scalability, Performance Tuning, Performance Metric

    初级 · 课程 · 1-4 周

  • G

    Google Cloud

    交易、机器学习和 GCP 简介

    您将获得的技能: 深度学习, 金融交易, 模型部署, 模型评估, 技术分析, 机器学习方法, 统计机器学习, 人工智能和机器学习(AI/ML), 云平台, 机器学习算法, 时间序列分析和预测, 财务, 证券交易, 财务预测, 监督学习, 应用机器学习, Google Cloud 平台, 人工神经网络, 机器学习, 预测建模

    4
    评分, 4 星,最高 5 星
    ·
    897 条评论

    中级 · 课程 · 1-4 周

  • G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    您将获得的技能: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Machine Learning Methods, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings

    4.5
    评分, 4.5 星,最高 5 星
    ·
    1542 条评论

    高级设置 · 专项课程 · 3-6 个月

  • E

    Edureka

    No-Code Data Science and Machine Learning

    您将获得的技能: Model Evaluation, Data Analysis, Classification Algorithms, Data Collection, Data Cleansing, Image Analysis, Model Deployment, Regression Analysis, No-Code Development, Machine Learning Software, Data Analysis Software, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Methods, Data Science, Exploratory Data Analysis, Machine Learning Algorithms, Artificial Intelligence, Data Processing, Natural Language Processing

    中级 · 专项课程 · 3-6 个月

  • E

    EDUCBA

    Learn & Build Machine Learning Models with Python

    您将获得的技能: Matplotlib, NumPy, Pandas (Python Package), Model Evaluation, Data Preprocessing, Regression Analysis, Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Python Programming

    中级 · 课程 · 1-4 周

  • C

    Coursera

    Level Up: Java-Powered Machine Learning

    您将获得的技能: Model Evaluation, Data Preprocessing, JUnit, Build Tools, Java Programming, MLOps (Machine Learning Operations), Java, Performance Tuning, Decision Tree Learning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Apache, Machine Learning

    中级 · 专项课程 · 3-6 个月

  • A

    Arm

    Getting Started with Machine Learning at the Edge on Arm

    您将获得的技能: Embedded Systems, Tensorflow, Data Preprocessing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Algorithms, Convolutional Neural Networks, Computer Vision, Deep Learning, Image Analysis, Machine Learning, Model Deployment, Model Evaluation, Performance Tuning

    4.2
    评分, 4.2 星,最高 5 星
    ·
    9 条评论

    中级 · 课程 · 1-3 个月

  • D

    Duke University

    产品经理的机器学习基础

    您将获得的技能: 算法, 深度学习, 卷积神经网络, 模型评估, 分类与回归树 (CART), 自然语言处理, 回归分析, 随机森林算法, 逻辑回归, 预测分析, 无监督学习, 计算机视觉, 决策树学习, 监督学习, 机器学习, 数据科学, 人工智能和机器学习(AI/ML)

    4.7
    评分, 4.7 星,最高 5 星
    ·
    774 条评论

    中级 · 课程 · 1-3 个月

  • A

    Amazon Web Services

    Machine Learning Essentials for Business and Technical Decision Makers

    您将获得的技能: Applied Machine Learning, Machine Learning, AI Enablement, MLOps (Machine Learning Operations), Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Analytics, Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Product Roadmaps, Feasibility Studies, System Requirements, Solution Design, Training Programs

    4.8
    评分, 4.8 星,最高 5 星
    ·
    13 条评论

    初级 · 课程 · 1-4 周

  • P

    Pragmatic AI Labs

    Machine Learning with Databricks and MLflow

    您将获得的技能: MLOps (Machine Learning Operations), Databricks, Apache Spark, Model Evaluation, Hugging Face, Data Architecture, Recurrent Neural Networks (RNNs), LLM Application, Data Science, Data Mining, Mathematical Modeling, Scala Programming, Continuous Monitoring, Rust (Programming Language), Lean Six Sigma, Statistical Inference, Artificial Intelligence, Functional Testing, Exploratory Data Analysis, Programming Principles

    中级 · 课程 · 1-4 周

  • D

    DeepLearning.AI

    用于人工智能、机器学习和深度学习的 TensorFlow 简介

    您将获得的技能: 深度学习, 卷积神经网络, 人工智能, 模型评估, 数据预处理, 张力流, Keras(神经网络库), 图像分析, 机器学习, 人工神经网络, 计算机视觉

    4.8
    评分, 4.8 星,最高 5 星
    ·
    2万 条评论

    中级 · 课程 · 1-4 周

  • B

    Board Infinity

    Apply AI & Machine Learning to Financial Forecasting

    您将获得的技能: Financial Forecasting, Feature Engineering, Model Evaluation, Applied Machine Learning, Forecasting, Machine Learning, Predictive Modeling, Financial Modeling, Generative AI, Time Series Analysis and Forecasting, Regression Analysis, Data Preprocessing, Credit Risk, Portfolio Management

    初级 · 课程 · 1-4 周

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1…111213…612

总之,以下是 10 最受欢迎的 machine learning 课程

  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • 交易、机器学习和 GCP 简介: Google Cloud
  • Advanced Machine Learning on Google Cloud: Google Cloud
  • No-Code Data Science and Machine Learning: Edureka
  • Learn & Build Machine Learning Models with Python: EDUCBA
  • Level Up: Java-Powered Machine Learning: Coursera
  • Getting Started with Machine Learning at the Edge on Arm: Arm
  • 产品经理的机器学习基础: Duke University
  • Machine Learning Essentials for Business and Technical Decision Makers: Amazon Web Services
  • Machine Learning with Databricks and MLflow: Pragmatic AI Labs

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