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    Results for "机器学习 (ml) 算法"

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning in the Enterprise

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      생성형 AI: 기본 개념 이해

      Skills you'll gain: Generative AI, Google Cloud Platform, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Ethics, Large Language Modeling, Deep Learning, Data-Driven Decision-Making, Machine Learning, Business Solutions

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Classification

      Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Supervised Learning, Predictive Modeling, Text Mining, Machine Learning Algorithms, Data Cleansing, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning on Google Cloud

      Skills you'll gain: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Dataflow, Cloud Platforms, Data Management, Data Governance, Workflow Management, Application Deployment, Deep Learning, Applied Machine Learning, Machine Learning, Cloud Computing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Application Development, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming, Data Mining, Information Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      What is Data Science?

      Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      77K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      AI in Healthcare

      Skills you'll gain: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Health Systems, Healthcare Industry Knowledge, Medical Records, Unstructured Data, Health Care, Health Informatics, Data Mining, Clinical Data Management, Statistical Machine Learning, Applied Machine Learning, Electronic Medical Record, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Intelligence, Health Technology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      P

      Pearson

      AWS Certified AI Practitioner (AIF-C01)

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Prompt Engineering, AWS SageMaker, Artificial Intelligence, Data Ethics, Large Language Modeling, Amazon Web Services, Machine Learning, MLOps (Machine Learning Operations), Business Solutions, Technology Strategies, Infrastructure Security, Compliance Management, Natural Language Processing, Governance, Data Security, Business Metrics, Performance Metric

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Neural Networks and Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Machine Learning, Python Programming, Linear Algebra, Performance Tuning, Calculus

      4.9
      Rating, 4.9 out of 5 stars
      ·
      123K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      S

      Simplilearn

      Fundamental of Reinforcement Training

      Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, Machine Learning, Supervised Learning, Unsupervised Learning, Markov Model

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Foundations for Everyone

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, OpenAI, Workflow Management, Machine Learning, Self Service Technologies, Application Deployment, Large Language Modeling, Artificial Intelligence, Program Development, Natural Language Processing, Deep Learning, Business Process Automation, Customer Service, Personalized Service, Operational Efficiency, Market Opportunities, IBM Cloud, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Machine Learning Algorithms, Plotly, Machine Learning, GitHub

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    1…171819…141

    In summary, here are 10 of our most popular 机器学习 (ml) 算法 courses

    • Machine Learning in the Enterprise: Google Cloud
    • 생성형 AI: 기본 개념 이해: Google Cloud
    • Machine Learning: Classification: University of Washington
    • Machine Learning on Google Cloud: Google Cloud
    • Machine Learning Foundations: A Case Study Approach: University of Washington
    • What is Data Science? : IBM
    • AI in Healthcare: Stanford University
    • AWS Certified AI Practitioner (AIF-C01): Pearson
    • Neural Networks and Deep Learning: DeepLearning.AI
    • Fundamental of Reinforcement Training : Simplilearn

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