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    Results for "mlops(机器学习 operator)"

    • Status: Free Trial
      Free Trial
      F

      Fudan University

      网络游戏设计与开发

      Skills you'll gain: Unity Engine, Game Design, Video Game Development, Intellectual Property, Mobile Development, Application Deployment, Android (Operating System), User Interface (UI), C# (Programming Language), Conceptual Design, Animation and Game Design, Software Design, Mobile Development Tools, Back-End Web Development, Cloud Development, System Design and Implementation, Visualization (Computer Graphics), Computer Graphics, Production Process, Performance Tuning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      172 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      Edureka

      Getting Started with Generative AI

      Skills you'll gain: Prompt Engineering, Generative AI, OpenAI, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Personalization, Deep Learning, Feature Engineering, Open Source Technology, MLOps (Machine Learning Operations), Data Ethics, Data Processing, Application Deployment, Natural Language Processing, Scalability, Machine Learning, Data Cleansing, Data Visualization, Database Systems

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Introduction to Generative AI for Software Development

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Code Review, Software Development Tools, Software Development, Program Development, Software Development Methodologies, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      526 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      IA generativa: conceitos básicos

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Machine Learning, Python Programming, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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: Preview
      Preview
      D

      DeepLearning.AI

      AI For Everyone (すべての人のためのAIリテラシー講座)

      Skills you'll gain: Artificial Intelligence, Artificial Neural Networks, Digital Transformation, Deep Learning, Team Building, Machine Learning, Data Ethics, Data Science, Employee Training, Business Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      293 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Introduction to Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Data Access, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Statistical Modeling, Applied Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Machine Learning in Python

      Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Peking University

      C程序设计进阶

      Skills you'll gain: C (Programming Language), Data Structures, Program Development, Object Oriented Programming (OOP), Computer Programming, Integrated Development Environments, Algorithms, Debugging, Software Design Patterns

      4.9
      Rating, 4.9 out of 5 stars
      ·
      827 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Mathematical Modeling, Machine Learning, Machine Learning Methods, Jupyter

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 1 - 3 Months

    1…181920…114

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

    • 网络游戏设计与开发: Fudan University
    • Getting Started with Generative AI: Edureka
    • Introduction to Generative AI for Software Development: DeepLearning.AI
    • IA generativa: conceitos básicos: Google Cloud
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • SPSS: Apply & Evaluate Cluster Analysis Techniques: EDUCBA
    • AI For Everyone (すべての人のためのAIリテラシー講座): DeepLearning.AI
    • IBM Introduction to Machine Learning: IBM
    • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
    • Applied Machine Learning in Python: University of Michigan

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