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    • Applied Machine Learning
    Related topics:Estadística aplicadaInteligencia artificialdeeplearning.aiAprendizaje profundoIngeniería de característicasetl

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    275 resultados para "applied machine learning"

    • University of Michigan

      University of Michigan

      Applied Machine Learning in Python

      Habilidades que obtendrás: Machine Learning, Python Programming, Applied Machine Learning, Algorithms, Natural Language Processing, Artificial Neural Networks, Probability & Statistics, Econometrics, Theoretical Computer Science, Scikit-Learn, Computer Programming, Machine Learning Algorithms, Statistical Programming, Regression, General Statistics

      4.6

      (8k reseñas)

      Intermediate · Course

    • Alberta Machine Intelligence Institute

      Alberta Machine Intelligence Institute

      Introduction to Applied Machine Learning

      Habilidades que obtendrás: Machine Learning, Machine Learning Algorithms, Reinforcement Learning

      4.7

      (686 reseñas)

      Intermediate · Course

    • DeepLearning.AI

      DeepLearning.AI

      Machine Learning

      Habilidades que obtendrás: Algorithms, Applied Machine Learning, Artificial Neural Networks, Computer Programming, Computer Vision, Deep Learning, Econometrics, Feature Engineering, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematics, Probability & Statistics, Python Programming, Regression, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science

      4.9

      (244 reseñas)

      Beginner · Specialization

    • DeepLearning.AI

      DeepLearning.AI

      Deep Learning

      Habilidades que obtendrás: Algorithms, Applied Machine Learning, Artificial Neural Networks, Bayesian Statistics, Big Data, Communication, Computational Logic, Computer Architecture, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Convolutional Neural Network, Data Management, Deep Learning, Entrepreneurship, General Statistics, Hardware Design, Human Computer Interaction, Interactive Design, Linear Algebra, Machine Learning, Machine Learning Algorithms, Markov Model, Mathematical Optimization, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Probability & Statistics, Python Programming, Regression, Statistical Machine Learning, Statistical Programming, Strategy and Operations, Theoretical Computer Science

      4.8

      (133.1k reseñas)

      Intermediate · Specialization

    • IBM

      IBM

      Key Technologies for Business

      Habilidades que obtendrás: Applied Machine Learning, BlockChain, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Communication, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Cryptography, Data Analysis, Data Mining, Deep Learning, DevOps, Finance, General Statistics, Human Computer Interaction, Interactive Design, Machine Learning, Machine Learning Algorithms, Network Architecture, Network Security, Operating Systems, Probability & Statistics, Regression, Security Engineering, Software Architecture, Software As A Service, Software Engineering, Software Framework, System Programming, Theoretical Computer Science

      4.7

      (65.4k reseñas)

      Beginner · Specialization

    • University of Virginia Darden School Foundation

      University of Virginia Darden School Foundation

      IBM & Darden Digital Strategy

      Habilidades que obtendrás: Analysis, Apache, Applied Machine Learning, Big Data, BlockChain, Business Analysis, Business Design, Business Strategy, Change Management, Cloud Computing, Cloud Infrastructure, Cloud Platforms, Cloud Storage, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Cryptography, Data Analysis, Data Management, Data Mining, Data Structures, Data Visualization, Data Warehousing, Databases, Deep Learning, Design and Product, DevOps, Entrepreneurship, Extract, Transform, Load, Finance, General Statistics, Human Computer Interaction, Interactive Design, Leadership and Management, Machine Learning, Machine Learning Algorithms, Market (Economics), Market Research, Marketing, Network Architecture, Network Security, NoSQL, Operating Systems, Product Strategy, Research and Design, Sales, Security Engineering, Software Architecture, Software As A Service, Software Engineering, Software Framework, Statistical Analysis, Strategy, Strategy and Operations, System Programming, Theoretical Computer Science

      4.7

      (18k reseñas)

      Beginner · Specialization

    • Placeholder
      IBM

      IBM

      IBM AI Foundations for Business

      Habilidades que obtendrás: Applied Machine Learning, Communication, Computer Vision, Data Analysis, Data Management, Data Mining, Database Administration, Databases, Deep Learning, Entrepreneurship, General Statistics, Leadership and Management, Machine Learning, Machine Learning Algorithms, Marketing, Probability & Statistics, Regression, Strategy and Operations

      4.7

      (63.7k reseñas)

      Beginner · Specialization

    • Placeholder
      IBM

      IBM

      IBM Applied AI

      Habilidades que obtendrás: Applied Machine Learning, Cloud API, Cloud Computing, Computational Logic, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Data Management, Deep Learning, Extract, Transform, Load, IBM Cloud, Machine Learning, Machine Learning Algorithms, Mathematical Theory & Analysis, Mathematics, Python Programming, Software Engineering, Software Engineering Tools, Statistical Programming, Theoretical Computer Science, Web Development, Web Development Tools

      4.6

      (37k reseñas)

      Beginner · Professional Certificate

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      DeepLearning.AI

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Habilidades que obtendrás: Linear Algebra, Feature Engineering, Applied Machine Learning, Algorithms, Statistical Machine Learning, Machine Learning, Theoretical Computer Science, Probability & Statistics, Regression, Mathematics, Machine Learning Algorithms, Econometrics, General Statistics

      4.9

      (233 reseñas)

      Beginner · Course

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      DeepLearning.AI

      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Habilidades que obtendrás: Applied Machine Learning, Artificial Neural Networks, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Convolutional Neural Network, Deep Learning, Forecasting, General Statistics, Language, Machine Learning, Machine Learning Algorithms, Natural Language, Natural Language Processing, Probability & Statistics, Programming Principles, Python Programming, Statistical Machine Learning, Statistical Programming, Tensorflow

      4.7

      (21.9k reseñas)

      Intermediate · Professional Certificate

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      DeepLearning.AI

      DeepLearning.AI

      Machine Learning Engineering for Production (MLOps)

      Habilidades que obtendrás: Advertising, Applied Machine Learning, Change Management, Cloud Computing, Communication, Computer Networking, Computer Programming, Continuous Integration, Data Management, Deep Learning, DevOps, Estimation, Extract, Transform, Load, Feature Engineering, General Statistics, Kubernetes, Leadership and Management, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Marketing, Network Security, Probability & Statistics, Python Programming, Security Engineering, Security Strategy, Statistical Programming, Strategy and Operations

      4.7

      (2k reseñas)

      Advanced · Specialization

    • Placeholder
      IBM

      IBM

      IBM AI Engineering

      Habilidades que obtendrás: Algorithms, Apache, Applied Machine Learning, Artificial Neural Networks, Basic Descriptive Statistics, Big Data, Computer Graphic Techniques, Computer Graphics, Computer Programming, Computer Vision, Data Analysis, Data Management, Data Structures, Databases, Deep Learning, Econometrics, General Statistics, Keras, Machine Learning, Machine Learning Algorithms, Mathematics, NoSQL, Opencv, Probability & Statistics, Probability Distribution, PyTorch, Python Programming, Regression, SQL, Statistical Machine Learning, Statistical Programming, Tensorflow, Theoretical Computer Science

      4.6

      (14.5k reseñas)

      Intermediate · Professional Certificate

    Búsquedas relacionadas con applied machine learning

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

    En síntesis, estos son los 10 cursos más populares applied machine learning

    • 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
    • IBM & Darden Digital Strategy: University of Virginia Darden School Foundation
    • IBM AI Foundations for Business: IBM
    • IBM Applied AI: IBM
    • Supervised Machine Learning: Regression and Classification: DeepLearning.AI
    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI

    Habilidades que puedes aprender en Machine Learning

    Programación Python (33)
    TensorFlow (32)
    Aprendizaje Profundo (30)
    Red Neuronal Artificial (24)
    Macrodatos (18)
    Clasificación Estadística (17)
    Aprendizaje por refuerzo (13)
    Álgebra (10)
    Bayesiana (10)
    Álgebra Lineal (10)
    Regresión Lineal (9)
    NumPy (9)

    Preguntas frecuentes sobre 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.‎

    Se puso a disposición este contenido de preguntas frecuentes solo con fines informativos. Se les pide a los estudiantes que realicen investigaciones adicionales para asegurarse de que los cursos y otras credenciales cumplan con sus objetivos personales, profesionales y financieros.
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