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    Results for "连续随机变量"

    • 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
      I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Computer Programming Tools, Data Analysis Software, Software Development Tools, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Cloud Services, Development Environment, Other Programming Languages, Version Control, Query Languages, Python Programming, Open Source Technology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · 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, Computer Vision, Machine Learning, Python Programming, Performance Tuning

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Data Science

      Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Interactive Data Visualization, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Jupyter, Matplotlib, Data Import/Export, Pandas (Python Package), Predictive Modeling, Data Science, Python Programming, Data Structures, Machine Learning

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, Mathematical Modeling, NumPy, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      884 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Foundations for Everyone

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, OpenAI, Workflow Management, Natural Language Processing, Large Language Modeling, Data Governance, Self Service Technologies, Application Deployment, Computer Science, Machine Learning, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Business Intelligence, Business Ethics, Content Creation, IBM Cloud, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      31K reviews

      Beginner · 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
      I

      Imperial College London

      Mathematics for Machine Learning: Linear Algebra

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Science, Jupyter, Algorithms, Python Programming, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Bayesian Statistics, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking

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

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      P

      Peking University

      计算导论与C语言基础

      Skills you'll gain: Programming Principles, C (Programming Language), Computer Science, Computer Programming, Computational Thinking, Computer Architecture, Algorithms, Data Structures, Computer Hardware, Emerging Technologies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Mixed · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Science and Technology of China

      信息社会的机遇和挑战

      Skills you'll gain: Lifelong Learning, Learning Strategies, Adaptability, Personal Development, Self-Awareness, Social Studies, Trend Analysis, Emerging Technologies, Open Mindset, Technology Solutions, Innovation, Digital Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      59 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      P

      Peking University

      Java程序设计

      Skills you'll gain: Java Programming, Java, Object Oriented Programming (OOP), Computer Programming, Programming Principles, Maintainability, Code Review, Program Development, UI Components, C and C++, Application Programming Interface (API), User Interface (UI), Application Development, Software Design Patterns, Debugging, Network Model, Integrated Development Environments, Software Development Tools, Algorithms, Data Structures

      4.7
      Rating, 4.7 out of 5 stars
      ·
      209 reviews

      Intermediate · Course · 1 - 3 Months

    1…789…94

    In summary, here are 10 of our most popular 连续随机变量 courses

    • Data Science: Statistics and Machine Learning: Johns Hopkins University
    • Tools for Data Science: IBM
    • Neural Networks and Deep Learning: DeepLearning.AI
    • Applied Data Science: IBM
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • AI Foundations for Everyone: IBM
    • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
    • Mathematics for Machine Learning: Linear Algebra: Imperial College London
    • Probabilistic Graphical Models: Stanford University
    • 计算导论与C语言基础: Peking University

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