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    • Applied Machine Learning

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    277 Ergebnisse für „applied machine learning“

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      University of Michigan

      Applied Machine Learning in Python

      Kompetenzen, die Sie erwerben: Scikit-Learn, Machine Learning, Computer Programming, Probability & Statistics, Machine Learning Algorithms, Regression, Theoretical Computer Science, Artificial Neural Networks, Econometrics, Python Programming, Statistical Programming, Applied Machine Learning, General Statistics, Algorithms

      4.6

      (8.1k Bewertungen)

      Intermediate · Course · 1-4 Weeks

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      Alberta Machine Intelligence Institute

      Introduction to Applied Machine Learning

      Kompetenzen, die Sie erwerben: Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Reinforcement Learning

      4.7

      (690 Bewertungen)

      Intermediate · Course · 1-4 Weeks

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      DeepLearning.AI, Stanford University

      Machine Learning

      Kompetenzen, die Sie erwerben: Accounting, Algorithms, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Calculus, Communication, Computer Programming, Computer Vision, Cost, Data Analysis, Data Management, Data Mining, Data Structures, Deep Learning, Econometrics, Feature Engineering, General Statistics, Linear Algebra, Linear Regression, Linearity, 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

      (2.4k Bewertungen)

      Beginner · Specialization · 1-3 Months

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      DeepLearning.AI

      Deep Learning

      Kompetenzen, die Sie erwerben: Advertising, Algorithms, Analysis, 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, Decision Making, 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, Project Management, Python Programming, Regression, Sales, Statistical Machine Learning, Statistical Programming, Strategy, Strategy and Operations, Supply Chain Systems, Supply Chain and Logistics, Tensorflow, Theoretical Computer Science, User Experience

      4.8

      (134.3k Bewertungen)

      Intermediate · Specialization · 3-6 Months

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      IBM Skills Network

      Key Technologies for Business

      Kompetenzen, die Sie erwerben: Analysis, Applied Machine Learning, BlockChain, Cloud Applications, 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

      (67.3k Bewertungen)

      Beginner · Specialization · 1-3 Months

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      University of Virginia Darden School Foundation

      IBM & Darden Digital Strategy

      Kompetenzen, die Sie erwerben: Apache, Applied Machine Learning, Big Data, BlockChain, Business Analysis, Business Design, Business Psychology, Business Transformation, Change Management, Cloud Applications, 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, Organizational Development, 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

      (19.3k Bewertungen)

      Beginner · Specialization · 3-6 Months

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      IBM

      IBM AI Foundations for Business

      Kompetenzen, die Sie erwerben: 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

      (65.4k Bewertungen)

      Beginner · Specialization · 1-3 Months

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      IBM Skills Network

      IBM Applied AI

      Kompetenzen, die Sie erwerben: Algorithms, 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

      (38.1k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

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      DeepLearning.AI

      Machine Learning Engineering for Production (MLOps)

      Kompetenzen, die Sie erwerben: 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

      (2.2k Bewertungen)

      Advanced · Specialization · 3-6 Months

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      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Kompetenzen, die Sie erwerben: Analysis, Applied Machine Learning, Artificial Neural Networks, Communication, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Deep Learning, Entrepreneurship, Forecasting, General Statistics, Machine Learning, Machine Learning Algorithms, Marketing, Natural Language, Natural Language Processing, Probability & Statistics, Programming Principles, Python Programming, Statistical Classification, Statistical Machine Learning, Statistical Programming, Tensorflow

      4.7

      (22.2k Bewertungen)

      Intermediate · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM AI Engineering

      Kompetenzen, die Sie erwerben: Algorithms, 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

      (14.8k Bewertungen)

      Intermediate · Professional Certificate · 3-6 Months

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      DeepLearning.AI

      Advanced Learning Algorithms

      Kompetenzen, die Sie erwerben: Probability & Statistics, Theoretical Computer Science, Machine Learning Algorithms, Data Management, Tensorflow, Decision Tree, Statistical Programming, Applied Machine Learning, Mathematics, Data Structures, Artificial Neural Networks, Statistical Machine Learning, Linear Algebra, Python Programming, Deep Learning, Machine Learning, Computer Programming, General Statistics, Probability Distribution, Computer Vision

      4.9

      (406 Bewertungen)

      Beginner · Course · 1-4 Weeks

    Suchanfragen mit Bezug zu applied machine learning

    applied machine learning in python
    introduction to applied machine learning
    1234…24

    Zusammenfassend sind hier 10 unserer beliebtesten applied machine learning Kurse

    • 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 & Darden Digital Strategy: University of Virginia Darden School Foundation
    • IBM AI Foundations for Business: IBM
    • IBM Applied AI: IBM Skills Network
    • Machine Learning Engineering for Production (MLOps): DeepLearning.AI
    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI

    Fähigkeiten, die Sie bei Machine Learning erlernen können

    Python-Programmierung (33)
    TensorFlow (32)
    Deep Learning (30)
    Künstliches Neuronales Netz (24)
    Big Data (18)
    Statistische Klassifikation (17)
    Verstärkungslernen (13)
    Algebra (10)
    Bayes (10)
    Lineare Algebra (10)
    Lineare Regression (9)
    Numpy (9)

    Häufig gestellte Fragen zum Thema Applied Machine Learning

    • 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.‎

    Diese häufig gestellten Fragen dienen nur zu Informationszwecken. Den Lernenden wird empfohlen, eingehender zu recherchieren, ob Kurse und andere angestrebte Qualifikationen wirklich ihren persönlichen, beruflichen und finanziellen Vorstellungen entsprechen.
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