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    • Applied Machine Learning

    篩選依據

    ''applied machine learning'的 275 個結果

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      University of Michigan

      Applied Machine Learning in Python

      您將獲得的技能: Statistical Programming, Econometrics, General Statistics, Artificial Neural Networks, Probability & Statistics, Machine Learning, Regression, Theoretical Computer Science, Applied Machine Learning, Algorithms, Scikit-Learn, Python Programming, Machine Learning Algorithms, Computer Programming

      4.6

      (8.1k 條評論)

      Intermediate · Course · 1-4 Weeks

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      Alberta Machine Intelligence Institute

      Introduction to Applied Machine Learning

      您將獲得的技能: Applied Machine Learning, Machine Learning, Reinforcement Learning, Machine Learning Algorithms

      4.7

      (690 條評論)

      Intermediate · Course · 1-4 Weeks

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      DeepLearning.AI,Stanford University

      Machine Learning

      您將獲得的技能: Accounting, Algorithms, Applied Machine Learning, Artificial Neural Networks, Calculus, Communication, Computer Programming, Computer Vision, Cost, Data Analysis, Data Management, Data Mining, Data Structures, Deep Learning, Econometrics, Feature Engineering, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Operations Research, Probability & Statistics, Probability Distribution, Python Programming, Regression, Reinforcement Learning, Research and Design, Statistical Classification, Statistical Machine Learning, Statistical Programming, Strategy and Operations, Tensorflow, Theoretical Computer Science

      4.9

      (2k 條評論)

      Beginner · Specialization · 1-3 Months

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      DeepLearning.AI

      Deep Learning

      您將獲得的技能: Advertising, Algorithms, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Big Data, Business Psychology, Communication, Computational Logic, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Data Management, Deep Learning, Entrepreneurship, General Statistics, Hardware Design, Human Computer Interaction, Interactive Design, Leadership and Management, Linear Algebra, Machine Learning, Machine Learning Algorithms, Marketing, Markov Model, Mathematical Theory & Analysis, Mathematics, Modeling, Natural Language Processing, Network Architecture, Network Model, Probability & Statistics, Project Management, Python Programming, Regression, Sales, Speech, Statistical Machine Learning, Statistical Programming, Strategy, Strategy and Operations, Supply Chain, Supply Chain Systems, Supply Chain and Logistics, Tensorflow, Theoretical Computer Science, User Experience

      4.8

      (134.1k 條評論)

      Intermediate · Specialization · 3-6 Months

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      IBM Skills Network

      Key Technologies for Business

      您將獲得的技能: Analysis, Applied Machine Learning, BlockChain, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Communication, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Data Analysis, Data Mining, Deep Learning, DevOps, Ethics, Finance, General Statistics, Human Computer Interaction, IBM Cloud, Interactive Design, Machine Learning, Machine Learning Algorithms, Network Architecture, Network Security, Operating Systems, Probability & Statistics, Regression, Security, Security Engineering, Software Architecture, Software As A Service, Software Engineering, Software Framework, System Programming, Theoretical Computer Science

      4.7

      (67k 條評論)

      Beginner · Specialization · 1-3 Months

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      IBM Skills Network

      IBM AI Foundations for Business

      您將獲得的技能: Analysis, Applied Machine Learning, Artificial Neural Networks, Cloud Computing, Cloud Platforms, Communication, Computer Vision, Data Analysis, Data Architecture, Data Management, Data Mining, Database Administration, Databases, Deep Learning, Ethics, General Statistics, Leadership and Management, Machine Learning, Machine Learning Algorithms, Probability & Statistics, Regression

      4.7

      (65.1k 條評論)

      Beginner · Specialization · 1-3 Months

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      University of Virginia Darden School Foundation

      IBM & Darden Digital Strategy

      您將獲得的技能: Analytics, Apache, Applied Machine Learning, Big Data, BlockChain, Business Analysis, Business Design, Business Transformation, Change Management, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Data Analysis, Data Management, Data Mining, Data Structures, Data Visualization, Data Visualization Software, Data Warehousing, Databases, Deep Learning, Design and Product, DevOps, Digital Marketing, Entrepreneurship, Ethics, Extract, Transform, Load, Finance, General Statistics, Human Computer Interaction, IBM Cloud, Innovation, Interactive Design, Leadership and Management, Machine Learning, Machine Learning Algorithms, Market Analysis, Marketing, Network Architecture, Network Security, NoSQL, Operating Systems, Product Strategy, Professional Development, Research and Design, Sales, Security, Security Engineering, Software Architecture, Software As A Service, Software Engineering, Software Framework, Strategy, Strategy and Operations, System Programming, Theoretical Computer Science

      4.7

      (19k 條評論)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Applied AI

      您將獲得的技能: Algorithms, Application Programming Interfaces, Applied Machine Learning, Artificial Neural Networks, Cloud API, Cloud Computing, Computational Logic, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Data Management, Deep Learning, Ethics, Extract, Transform, Load, IBM Cloud, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Python Programming, Software Engineering, Software Engineering Tools, Statistical Programming, Theoretical Computer Science, Web Development, Web Development Tools

      4.6

      (37.9k 條評論)

      Beginner · Professional Certificate · 3-6 Months

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      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      您將獲得的技能: Calculus, Linearity, Accounting, Artificial Neural Networks, Theoretical Computer Science, Linear Algebra, Feature Engineering, Statistical Machine Learning, Regression, Machine Learning, Mathematics, Cost, Applied Machine Learning, Algorithms, Statistical Classification, Logistic Regression, Probability Distribution, Probability & Statistics, Python Programming, Econometrics, Linear Regression, General Statistics, Machine Learning Algorithms, Statistical Programming, Computer Programming

      4.9

      (1.8k 條評論)

      Beginner · Course · 1-4 Weeks

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      DeepLearning.AI

      Machine Learning Engineering for Production (MLOps)

      您將獲得的技能: Applied Machine Learning, Business Analysis, Change Management, Cloud Computing, Computer Networking, Computer Programming, Data Analysis, Data Management, Data Visualization, Deep Learning, DevOps, Estimation, Exploratory Data Analysis, Extract, Transform, Load, Feature Engineering, General Statistics, Leadership and Management, Machine Learning, Machine Learning Algorithms, Modeling, Network Security, Probability & Statistics, Python Programming, Security Engineering, Security Strategy, Statistical Programming, Statistical Visualization, Strategy and Operations, Tensorflow

      4.7

      (2.1k 條評論)

      Advanced · Specialization · 3-6 Months

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      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      您將獲得的技能: Analysis, Applied Machine Learning, Artificial Neural Networks, Communication, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Convolutional Neural Network, Deep Learning, Entrepreneurship, Forecasting, General Statistics, Machine Learning, Machine Learning Algorithms, Marketing, Modeling, Natural Language, Natural Language Processing, Probability & Statistics, Programming Principles, Python Programming, Statistical Machine Learning, Statistical Programming, Tensorflow, Time Series

      4.7

      (22.2k 條評論)

      Intermediate · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM AI Engineering

      您將獲得的技能: Algorithms, Analysis, Apache, Applied Machine Learning, Artificial Neural Networks, Basic Descriptive Statistics, Big Data, Business Analysis, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Correlation And Dependence, Data Analysis, Data Management, Data Structures, Databases, Deep Learning, Dimensionality Reduction, Econometrics, Entrepreneurship, General Statistics, Machine Learning, Machine Learning Algorithms, Mathematics, NoSQL, Probability & Statistics, Probability Distribution, Python Programming, Regression, SQL, Statistical Analysis, Statistical Machine Learning, Statistical Programming, Supply Chain Systems, Supply Chain and Logistics, Tensorflow, Theoretical Computer Science

      4.6

      (14.7k 條評論)

      Intermediate · Professional Certificate · 3-6 Months

    與 applied machine learning 相關的搜索

    applied machine learning in python
    introduction to applied machine learning
    1234…23

    總之,這是我們最受歡迎的 applied machine learning 門課程中的 10 門

    • Applied Machine Learning in Python: University of Michigan
    • Introduction to Applied Machine Learning: Alberta Machine Intelligence Institute
    • Machine Learning: DeepLearning.AI
    • Deep Learning: DeepLearning.AI
    • Key Technologies for Business: IBM Skills Network
    • IBM AI Foundations for Business: IBM Skills Network
    • IBM & Darden Digital Strategy: University of Virginia Darden School Foundation
    • IBM Applied AI: IBM Skills Network
    • Supervised Machine Learning: Regression and Classification: DeepLearning.AI
    • Machine Learning Engineering for Production (MLOps): DeepLearning.AI

    您可以在 Machine Learning 中學到的技能

    Python 程序設計 (33)
    Tensorflow (32)
    深度學習 (30)
    人工神經網絡 (24)
    大數據 (18)
    統計分類 (17)
    強化學習 (13)
    代數 (10)
    貝葉斯定理 (10)
    線性代數 (10)
    線性回歸 (9)
    Numpy (9)

    關於 Applied Machine Learning 的常見問題

    • It's important to learn about applied machine learning if you want to pursue a career in it or if you want to know how to use it in data analysis. Applied machine learning can be used to solve problems and collect insights from big data sets. When you learn machine learning fundamentals, you will be able to do predictive analysis, data analysis, and text mining. You'll be able to apply different programming languages and platforms to the data problems faced in your organization. Applied machine learning can help you pull insights and make decisions from the information that has been collecting for a long time.‎

    • Career opportunities that arise from learning applied machine learning are mostly in computer programming. Applied machine learning, also known as automatic machine learning or AutoML, involves using computer languages for data analysis of large data. Being able to create the programs to do this is important. It is also useful to understand the power and limitations of applied machine learning if you will be using reports and making decisions based on applied machine learning. More and more management information systems include aspects of applied machine learning. This makes the field more useful to those who use data in their daily work.‎

    • Online courses on Coursera can help you learn applied machine learning in several languages and platforms, including Python, Matlab, Google Cloud, H20 in R, and TensorFlow. Some courses cover programming languages, and others look at how machine learning is applied to decision making in specific fields. Most courses are at an intermediate level, but a few offer a beginner-level introduction to the fundamentals of applied machine learning and how to chart, plot, and mine text to make big data usable. The courses include lectures, readings, and projects so that you can apply what you learn. Some courses stand alone, and others are part of Specializations and Professional Certificates.‎

    此常見問題解答內容僅供參考。建議學生多做研究,確保所追求的課程和其他證書符合他們的個人、專業和財務目標。
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