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  • 微软团队数据科学流程

Results for "微软团队数据科学流程"


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Foundations of AI and Machine Learning

    Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scalability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    219 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Accounting Data Analytics

    Skills you'll gain: Machine Learning Algorithms, Data Visualization, Jupyter, Tableau Software, Matplotlib, Data Visualization Software, Unsupervised Learning, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Excel Macros, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Predictive Modeling, Data Analysis, Loans, Python Programming

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    570 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Artificial Intelligence: an Overview

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Intellectual Property, Responsible AI, Legal Risk, Reinforcement Learning, Artificial Intelligence, General Data Protection Regulation (GDPR), Dimensionality Reduction, Cloud Platforms, Deep Learning, Hardware Architecture, Law, Regulation, and Compliance, Regulation and Legal Compliance, Information Privacy, Information Technology, Social Studies, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    779 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    M

    Macquarie University

    Artificial Intelligence (AI) Education for Teachers

    Skills you'll gain: Data Ethics, Responsible AI, Computational Thinking, Design Thinking, Ideation, Artificial Intelligence, Education Software and Technology, Creativity, Ethical Standards And Conduct, Artificial Intelligence and Machine Learning (AI/ML), Data Literacy, Data-Driven Decision-Making, Machine Learning, Data Quality, Analysis, Data Processing, Computer Science, Computer Programming, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    938 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
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    688 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Program Development, Data Validation, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Predictive Modeling, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning

    4.8
    Rating, 4.8 out of 5 stars
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    718 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Feature Engineering, Machine Learning Algorithms, Data Ethics, Responsible AI, Applied Machine Learning, Data Quality, MLOps (Machine Learning Operations), Data Processing, Jupyter, Data Validation, Business Operations, Machine Learning, Operational Analysis, AI Product Strategy, Data Cleansing, Product Lifecycle Management, Machine Learning Methods, Classification And Regression Tree (CART), Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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, Feature Engineering, Data Cleansing, Scalability, Risking, 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: New
    New
    Status: Free Trial
    Free Trial
    S

    Saïd Business School, University of Oxford

    AI Foundations for Business Professionals

    Skills you'll gain: Prompt Engineering, Generative AI, Agentic systems, Responsible AI, Artificial Neural Networks, Data Ethics, Governance, Artificial Intelligence, LLM Application, ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Compliance Management, AI Product Strategy, Data Governance, Enterprise Risk Management (ERM), Large Language Modeling, Business Ethics, Risk Management, Machine Learning, Project Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    187 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Introduction to Applied Machine Learning

    Skills you'll gain: Data Ethics, Applied Machine Learning, Data Processing, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Supervised Learning, Business Requirements, Data Quality, Business Analysis, Unsupervised Learning, Artificial Intelligence, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    746 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Predictive Modeling, Machine Learning, Supervised Learning, Data Science, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Performance Metric

    4.6
    Rating, 4.6 out of 5 stars
    ·
    296 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    N

    National Taiwan University

    Operations Research

    Skills you'll gain: Operations Research, Mathematical Modeling, Process Optimization, Report Writing, Business Mathematics, Network Model, Business Modeling, Industrial Engineering, Linear Algebra, Business Operations, Applied Mathematics, Operations Management, Algorithms, Resource Allocation, Case Studies, Engineering Calculations, Project Design, Machine Learning, Program Implementation, Business Analytics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    715 reviews

    Beginner · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular 微软团队数据科学流程 courses

  • Foundations of AI and Machine Learning: Microsoft
  • Accounting Data Analytics: University of Illinois Urbana-Champaign
  • Artificial Intelligence: an Overview: Politecnico di Milano
  • Artificial Intelligence (AI) Education for Teachers: Macquarie University
  • Machine Learning Foundations for Product Managers: Duke University
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
  • Machine Learning: Classification: University of Washington
  • AI Foundations for Business Professionals: Saïd Business School, University of Oxford
  • Introduction to Applied Machine Learning: Alberta Machine Intelligence Institute

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