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    • Applied Machine Learning

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    406 Ergebnisse für „applied machine learning“

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      University of Michigan

      Applied Machine Learning in Python

      Kompetenzen, die Sie erwerben: Applied Machine Learning, Data Analysis, Data Mining, Machine Learning, Machine Learning Algorithms, General Statistics, Statistical Machine Learning, Dimensionality Reduction, Feature Engineering, Python Programming, Regression, Estimation, Linear Algebra, Statistical Tests, Algorithms, Artificial Neural Networks, Computer Programming, Econometrics, Exploratory Data Analysis, Probability & Statistics, Theoretical Computer Science

      4.6

      (8.3k 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, Applied Machine Learning, Machine Learning Algorithms, Reinforcement Learning

      4.7

      (705 Bewertungen)

      Intermediate · Course · 1-4 Weeks

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      DeepLearning.AI, Stanford University

      Machine Learning

      Kompetenzen, die Sie erwerben: Machine Learning, Probability & Statistics, Machine Learning Algorithms, General Statistics, Theoretical Computer Science, Algorithms, Applied Machine Learning, Artificial Neural Networks, Regression, Econometrics, Computer Programming, Deep Learning, Python Programming, Statistical Programming, Mathematics, Tensorflow, Data Management, Data Structures, Statistical Machine Learning, Reinforcement Learning, Probability Distribution, Mathematical Theory & Analysis, Data Analysis, Data Mining, Linear Algebra, Computer Vision, Calculus, Feature Engineering, Bayesian Statistics, Operations Research, Research and Design, Strategy and Operations, Computational Logic, Accounting, Communication

      4.9

      (8k Bewertungen)

      Beginner · Specialization · 1-3 Months

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      University of Michigan

      Applied Data Science with Python

      Kompetenzen, die Sie erwerben: Python Programming, Machine Learning, Data Analysis, Data Mining, Data Science, Machine Learning Algorithms, Computer Science, Statistical Programming, Applied Machine Learning, Graph Theory, Mathematics, General Statistics, Basic Descriptive Statistics, Statistical Machine Learning, Data Structures, Natural Language Processing, Regression, Dimensionality Reduction, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Statistical Tests, Correlation And Dependence, Estimation, Linear Algebra, Computer Programming, Data Architecture, Probability & Statistics, Statistical Visualization, Algorithms, Artificial Neural Networks, Computational Logic, Computer Graphics, Data Visualization, Econometrics, Machine Learning Software, Mathematical Theory & Analysis, Network Analysis, Plot (Graphics), Programming Principles, Theoretical Computer Science

      4.5

      (33k Bewertungen)

      Intermediate · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Data Science

      Kompetenzen, die Sie erwerben: Python Programming, Data Science, Data Analysis, Data Structures, Statistical Programming, Machine Learning, Data Mining, Regression, Machine Learning Algorithms, Data Visualization, General Statistics, Basic Descriptive Statistics, SQL, Applied Machine Learning, Statistical Analysis, Computer Programming Tools, Data Analysis Software, Machine Learning Software, Software Visualization, Databases, Programming Principles, Exploratory Data Analysis, Computer Programming, Statistical Visualization, Algebra, Data Management, Database Theory, Data Visualization Software, R Programming, Statistical Machine Learning, Statistical Tests, Deep Learning, Probability & Statistics, Database Application, Extract, Transform, Load, Plot (Graphics), Devops Tools, SPSS, Estimation, Interactive Data Visualization, Algorithms, Database Administration, Geovisualization, Reinforcement Learning, Theoretical Computer Science, Big Data, Business Analysis, Computational Logic, Correlation And Dependence, Econometrics, Entrepreneurship, Marketing, Mathematical Theory & Analysis, Mathematics, Spreadsheet Software, Storytelling, Supply Chain Systems, Supply Chain and Logistics, Writing

      4.6

      (106.2k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      IBM Data Analyst

      Kompetenzen, die Sie erwerben: Data Analysis, Python Programming, Data Visualization, Exploratory Data Analysis, Basic Descriptive Statistics, Data Structures, Statistical Programming, Data Science, Statistical Visualization, Plot (Graphics), Data Management, General Statistics, SQL, Databases, Business Analysis, Microsoft Excel, Spreadsheet Software, Data Mining, Statistical Analysis, Programming Principles, Probability & Statistics, Regression, Machine Learning, Algebra, Computer Programming, Data Analysis Software, Database Theory, Probability Distribution, Applied Machine Learning, Statistical Tests, Big Data, Correlation And Dependence, Data Visualization Software, Database Application, Estimation, NoSQL, Geovisualization, ArcGIS, Cloud Computing, Data Warehousing, Database Administration, Extract, Transform, Load, HTML and CSS, Knitr, Mathematics, Minitab, PostgreSQL, R Programming, SAS (Software), SPSS, Apache, Computational Logic, Computer Programming Tools, Econometrics, Leadership and Management, Mathematical Theory & Analysis, Operating Systems, Professional Development, Statistical Machine Learning, System Programming, Theoretical Computer Science

      4.6

      (60.8k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

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      IBM Skills Network

      Key Technologies for Business

      Kompetenzen, die Sie erwerben: Data Science, Cloud Computing, Applied Machine Learning, Cloud Engineering, Cloud Infrastructure, Data Mining, Regression, Cloud Applications, Cloud Management, Cloud Platforms, Cloud Storage, DevOps, IBM Cloud, Network Security, Software As A Service, Software Engineering, Basic Descriptive Statistics, Data Analysis, Big Data, BlockChain, Computer Architecture, Computer Graphics, Computer Programming, Computer Vision, Deep Learning, Finance, General Statistics, Human Computer Interaction, Interactive Design, Machine Learning, Machine Learning Algorithms, Operating Systems, Probability & Statistics, Security Engineering, Software Architecture, Software Framework, Storytelling, System Programming, Theoretical Computer Science, Writing

      4.7

      (73.5k Bewertungen)

      Beginner · Specialization · 1-3 Months

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      IBM Skills Network

      IBM Data Engineering

      Kompetenzen, die Sie erwerben: Data Management, Databases, Data Architecture, Data Structures, Big Data, Database Theory, SQL, Database Administration, Apache, Extract, Transform, Load, Python Programming, Database Application, Data Model, Data Warehousing, Data Analysis, NoSQL, Data Engineering, Distributed Computing Architecture, Database Design, Operating Systems, System Programming, System Software, Programming Principles, Statistical Programming, Computer Architecture, Algebra, PostgreSQL, Applied Machine Learning, Correlation And Dependence, Feature Engineering, General Statistics, Graph Theory, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Regression, Statistical Analysis, Statistical Machine Learning, Data Visualization, Data Visualization Software, Basic Descriptive Statistics, Exploratory Data Analysis, Cloud Applications, Cloud Computing, Data Science, DevOps, Kubernetes, Leadership and Management, Network Architecture, Network Security, Other Programming Languages, Professional Development, Security Engineering, Accounting, Algorithms, Business Analysis, Cloud Engineering, Computational Logic, Computational Thinking, Computer Networking, Computer Programming, Computer Programming Tools, Hardware Design, IBM Cloud, Interactive Data Visualization, Linux, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Project Management, Security Strategy, Software Architecture, Software Engineering, Strategy and Operations, Theoretical Computer Science

      4.6

      (40.4k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

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      DeepLearning.AI

      Deep Learning

      Kompetenzen, die Sie erwerben: Deep Learning, Machine Learning, Artificial Neural Networks, Python Programming, Statistical Programming, Machine Learning Algorithms, Linear Algebra, Applied Machine Learning, Statistical Machine Learning, Dimensionality Reduction, Feature Engineering, Probability & Statistics, Business Psychology, Entrepreneurship, Machine Learning Software, Computer Vision, Marketing, General Statistics, Natural Language Processing, Computer Programming, Leadership and Management, Project Management, Regression, Sales, Strategy, Strategy and Operations, Tensorflow, Differential Equations, Mathematics, Applied Mathematics, Decision Making, Supply Chain Systems, Supply Chain and Logistics, Advertising, Communication, Estimation, Forecasting, Mathematical Theory & Analysis, Statistical Visualization, Algorithms, Theoretical Computer Science, Bayesian Statistics, Calculus, Probability Distribution, Statistical Tests, Big Data, Computer Architecture, Computer Networking, Data Management, Human Computer Interaction, Network Architecture, User Experience, Algebra, Computational Logic, Computer Graphic Techniques, Computer Graphics, Data Structures, Data Visualization, Hardware Design, Interactive Design, Markov Model, Network Model

      4.8

      (137.8k Bewertungen)

      Intermediate · Specialization · 3-6 Months

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      IBM Skills Network

      IBM AI Foundations for Business

      Kompetenzen, die Sie erwerben: Data Science, Applied Machine Learning, Data Management, Leadership and Management, Data Architecture, Data Mining, Machine Learning, Regression, Artificial Neural Networks, Basic Descriptive Statistics, Cloud Computing, Cloud Platforms, Data Analysis, Database Administration, Databases, Deep Learning, Big Data, Computer Vision, General Statistics, Innovation, Machine Learning Algorithms, Probability & Statistics, Storytelling, Writing

      4.7

      (70.8k Bewertungen)

      Beginner · Specialization · 1-3 Months

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      IBM Skills Network

      Applied Data Science

      Kompetenzen, die Sie erwerben: Python Programming, Data Analysis, Data Science, Statistical Programming, Data Structures, Data Visualization, Basic Descriptive Statistics, Programming Principles, Exploratory Data Analysis, Computer Programming, Statistical Visualization, Algebra, Machine Learning, Applied Machine Learning, Data Mining, General Statistics, Regression, Statistical Analysis, Statistical Tests, Data Management, Extract, Transform, Load, Plot (Graphics), Interactive Data Visualization, Machine Learning Algorithms, SQL, Geovisualization, Algorithms, Business Analysis, Computational Logic, Computer Programming Tools, Correlation And Dependence, Data Analysis Software, Databases, Econometrics, Mathematical Theory & Analysis, Mathematics, Probability & Statistics, Spreadsheet Software, Statistical Machine Learning, Theoretical Computer Science

      4.6

      (43.2k Bewertungen)

      Beginner · Specialization · 3-6 Months

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      IBM Skills Network

      IBM Data Analytics with Excel and R

      Kompetenzen, die Sie erwerben: Data Analysis, R Programming, Data Visualization, Plot (Graphics), Data Management, SQL, Exploratory Data Analysis, Data Mining, Databases, Basic Descriptive Statistics, General Statistics, Data Visualization Software, Statistical Programming, Data Analysis Software, Interactive Data Visualization, Statistical Visualization, Statistical Analysis, Big Data, Microsoft Excel, Probability & Statistics, Business Analysis, Spreadsheet Software, Database Theory, Regression, Statistical Tests, Data Science, Data Structures, Software Visualization, Machine Learning, User Experience, Probability Distribution, NoSQL, Python Programming, Applied Machine Learning, Deep Learning, Estimation, Geovisualization, Linear Algebra, Machine Learning Algorithms, Machine Learning Software, SAS (Software), Spatial Data Analysis, Statistical Machine Learning, Cloud Computing, Data Architecture, Data Model, Data Warehousing, Database Administration, Database Application, Database Design, Mathematics, Visualization (Computer Graphics), Advertising, Apache, Communication, Computational Logic, Computer Programming, Extract, Transform, Load, Leadership and Management, Marketing, Operating Systems, Professional Development, Programming Principles, System Programming, Theoretical Computer Science

      4.7

      (14.8k Bewertungen)

      Beginner · Professional Certificate · 3-6 Months

    Suchanfragen mit Bezug zu applied machine learning

    applied machine learning in python
    introduction to applied machine learning
    1234…34

    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
    • Applied Data Science with Python: University of Michigan
    • IBM Data Science: IBM Skills Network
    • IBM Data Analyst: IBM Skills Network
    • Key Technologies for Business: IBM Skills Network
    • IBM Data Engineering: IBM Skills Network
    • Deep Learning: DeepLearning.AI
    • IBM AI Foundations for Business: IBM Skills Network

    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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