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    Results for "机器学习 (ml) 算法"

    • Status: New
      New
      G

      Google Cloud

      생성형 AI: 기본 개념 이해

      Skills you'll gain: Generative AI, Data Ethics, Unstructured Data, Google Cloud Platform, Machine Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Regulatory Compliance, Business Solutions, Deep Learning, Data Quality, Security Controls

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      IA générative : découvrir les concepts fondamentaux

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

      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: 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
      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

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Visualization, Feature Engineering, Statistical Analysis, Statistical Modeling, R Programming, Data Science, Machine Learning, GitHub

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Practical Machine Learning

      Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, R Programming, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Processing, Data Collection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Artificial Neural Networks, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Predictive Modeling, Text Mining, Forecasting, Data Processing, Machine Learning, Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      SPSS: Apply & Evaluate Cluster Analysis Techniques

      Skills you'll gain: Unsupervised Learning, SPSS, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Data Cleansing, Data Analysis, Statistical Methods, Data Visualization Software, Data Processing

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Classification

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      423 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Ethics in the Age of AI

      Skills you'll gain: Data Ethics, Predictive Modeling, OpenAI, Algorithms, Data Collection, Machine Learning, Predictive Analytics, Information Privacy, Artificial Intelligence, Game Theory, Large Language Modeling, Ethical Standards And Conduct, Personally Identifiable Information, Statistical Modeling, Machine Learning Algorithms, Analytical Skills, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Risk Modeling, Supervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      832 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Feature Engineering

      Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Real Time Data, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    1…181920…143

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

    • 생성형 AI: 기본 개념 이해: Google Cloud
    • IA générative : découvrir les concepts fondamentaux: Google Cloud
    • AI in Healthcare: Stanford University
    • What is Data Science? : IBM
    • Data Science: Johns Hopkins University
    • Data Science: Statistics and Machine Learning: Johns Hopkins University
    • Practical Machine Learning: Johns Hopkins University
    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • SPSS: Apply & Evaluate Cluster Analysis Techniques: EDUCBA
    • Supervised Machine Learning: Classification: IBM

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