para individuospara negociospara universidadespara gobiernos
Coursera
  • All DegreesExplorar títulos de grado de Licenciaturas y Maestrías
  • NegociosExplore MBA & Business degrees
  • Computer Science & EngineeringExplore Computer Science & Engineering degrees
  • Ciencia de DatosExplore Data Science degrees
  • MasterTrack™Obtén crédito para una Maestría
  • Certificados universitariosImpulsa tu carrera profesional con programas de aprendizaje de nivel de posgrado
Buscar carreras
  • Explorar
  • Principales cursos
  • Inicia Sesión
  • Únete de forma gratuita
    Coursera
    • Explorar
    • Applied Machine Learning

    Filtrar por

    415 resultados para "applied machine learning"

    • Placeholder
      University of Michigan

      Applied Machine Learning in Python

      Habilidades que obtendrás: 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 reseñas)

      Intermediate · Course · 1-4 Weeks

    • Placeholder
      Alberta Machine Intelligence Institute

      Introduction to Applied Machine Learning

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

      4.7

      (709 reseñas)

      Intermediate · Course · 1-4 Weeks

    • Placeholder
      IBM Skills Network

      IBM Data Science

      Habilidades que obtendrás: 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, Extract, Transform, Load, Plot (Graphics), Devops Tools, SPSS, Estimation, Interactive Data Visualization, Algorithms, Database Application, Geovisualization, Reinforcement Learning, Theoretical Computer Science, Big Data, Business Analysis, Computational Logic, Correlation And Dependence, Database Administration, Econometrics, Entrepreneurship, Marketing, Mathematical Theory & Analysis, Mathematics, Spreadsheet Software, Storytelling, Supply Chain Systems, Supply Chain and Logistics, Writing

      4.6

      (108.1k reseñas)

      Beginner · Professional Certificate · 3-6 Months

    • Placeholder
      IBM Skills Network

      IBM Data Analyst

      Habilidades que obtendrás: 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, Estimation, NoSQL, Geovisualization, ArcGIS, Cloud Computing, Data Warehousing, Database Application, Extract, Transform, Load, HTML and CSS, Knitr, Mathematics, Minitab, PostgreSQL, R Programming, SAS (Software), SPSS, Apache, Computational Logic, Computer Programming Tools, Database Administration, Econometrics, Interactive Data Visualization, Leadership and Management, Mathematical Theory & Analysis, Operating Systems, Professional Development, Statistical Machine Learning, System Programming, Theoretical Computer Science

      4.6

      (62.4k reseñas)

      Beginner · Professional Certificate · 3-6 Months

    • Placeholder
      Placeholder
      DeepLearning.AI, Stanford University

      Machine Learning

      Habilidades que obtendrás: Machine Learning, Probability & Statistics, Machine Learning Algorithms, General Statistics, Theoretical Computer Science, Applied Machine Learning, Algorithms, 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

      (9.4k reseñas)

      Beginner · Specialization · 1-3 Months

    • Placeholder
      IBM Skills Network

      Key Technologies for Business

      Habilidades que obtendrás: 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

      (74.7k reseñas)

      Beginner · Specialization · 1-3 Months

    • Placeholder
      Placeholder
      IBM Skills Network

      IBM Data Engineering

      Habilidades que obtendrás: Data Management, Databases, Data Architecture, Data Structures, Big Data, Database Theory, SQL, Apache, Database Administration, Extract, Transform, Load, Python Programming, Data Model, Database Application, Data Warehousing, Data Analysis, NoSQL, Data Engineering, Distributed Computing Architecture, Database Design, Operating Systems, System Programming, System Software, Programming Principles, Statistical Programming, Algebra, Computer Architecture, 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, Algorithms, Computational Logic, Computational Thinking, Computer Networking, Computer Programming, Computer Programming Tools, IBM Cloud, Linux, Mathematical Theory & Analysis, Mathematics, Microarchitecture, Project Management, Security Strategy, Software Architecture, Software Engineering, Strategy and Operations, Theoretical Computer Science

      4.6

      (41.3k reseñas)

      Beginner · Professional Certificate · 3-6 Months

    • Placeholder
      Placeholder
      IBM

      IBM AI Foundations for Business

      Habilidades que obtendrás: 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

      (71.8k reseñas)

      Beginner · Specialization · 1-3 Months

    • Placeholder
      Placeholder
      University of Virginia Darden School Foundation

      IBM & Darden Digital Strategy

      Habilidades que obtendrás: Entrepreneurship, Strategy and Operations, Business Analysis, Business Transformation, Leadership and Management, Marketing, Sales, Strategy, Data Science, Cloud Computing, Data Analysis, Data Management, Research and Design, Applied Machine Learning, Business Design, Big Data, Market Analysis, Cloud Engineering, Cloud Infrastructure, Databases, NoSQL, Python Programming, SQL, Statistical Programming, Innovation, Basic Descriptive Statistics, Cloud Applications, Cloud Management, Cloud Platforms, Cloud Storage, Data Mining, Data Structures, Data Visualization, Data Warehousing, DevOps, General Statistics, IBM Cloud, Machine Learning, Mathematics, Network Security, Probability & Statistics, Software As A Service, Software Engineering, Apache, BlockChain, Business Psychology, Change Management, Computer Architecture, Computer Graphics, Computer Networking, Computer Programming, Computer Vision, Data Visualization Software, Deep Learning, Design and Product, Digital Marketing, Extract, Transform, Load, Finance, Human Computer Interaction, Interactive Design, Internet Of Things, Machine Learning Algorithms, Microsoft Excel, Operating Systems, Organizational Development, Product Strategy, Professional Development, Security Engineering, Software Architecture, Software Framework, System Programming, Theoretical Computer Science

      4.7

      (24.3k reseñas)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      IBM Skills Network

      IBM Data Analytics with Excel and R

      Habilidades que obtendrás: 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, Business Analysis, Microsoft Excel, Probability & Statistics, 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), Accounting, 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

      (15.5k reseñas)

      Beginner · Professional Certificate · 3-6 Months

    • Placeholder
      Placeholder
      DeepLearning.AI

      Deep Learning

      Habilidades que obtendrás: 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

      (138.3k reseñas)

      Intermediate · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      IBM Skills Network

      Applied Data Science

      Habilidades que obtendrás: 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

      (44k reseñas)

      Beginner · Specialization · 3-6 Months

    Búsquedas relacionadas con applied machine learning

    applied machine learning in python
    introduction to applied machine learning
    1234…35

    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
    • IBM Data Science: IBM Skills Network
    • IBM Data Analyst: IBM Skills Network
    • Machine Learning: DeepLearning.AI
    • Key Technologies for Business: IBM Skills Network
    • IBM Data Engineering: IBM Skills Network
    • IBM AI Foundations for Business: IBM
    • IBM & Darden Digital Strategy: University of Virginia Darden School Foundation
    • IBM Data Analytics with Excel and R: IBM Skills Network

    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.
    Otros temas para explorar
    Placeholder
    Artes y Humanidades
    338 cursos
    Placeholder
    Negocios
    1095 cursos
    Placeholder
    Ciencias de la Computación
    668 cursos
    Placeholder
    Ciencia de Datos
    425 cursos
    Placeholder
    Tecnología de información
    145 cursos
    Placeholder
    Salud
    471 cursos
    Placeholder
    Matemáticas y Lógica
    70 cursos
    Placeholder
    Desarrollo Personal
    137 cursos
    Placeholder
    Ciencias Físicas e Ingeniería
    413 cursos
    Placeholder
    Ciencias sociales
    401 cursos
    Placeholder
    Aprendizaje de un idioma
    150 cursos

    Coursera Footer

    Aprende algo nuevo

    • Aprende un idioma
    • Aprende contabilidad
    • Aprender a codificar
    • Aprende redacción publicitaria
    • Aprende sobre RR. HH.
    • Aprende relaciones públicas
    • Maestría en ciencia de los datos en Boulder
    • Illinois iMBA
    • Maestría en ciencias de la computación de Illinois
    • Maestría en ciencia de los datos aplicada de la UMich

    Temas populares de ciencia de los datos

    • Inteligencia artificial
    • Análisis de Datos
    • Ingeniería de datos
    • Ciencia de Datos
    • Excel
    • Aprendizaje Automático
    • python
    • Power BI
    • Programación R
    • SQL

    Temas populares de ciencias de la computación y TI

    • Cadena de bloques
    • Codificación
    • Ciencias de la Computación
    • seguridad cibernética
    • Desarrollo web de pila completa
    • ti
    • Java
    • Ingeniería de software
    • diseño web
    • Desarrollo web

    Temas populares sobre negocios

    • contabilidad
    • finanzas del negocio
    • Aptitudes de comunicación
    • Liderazgo y gestión
    • Comercialización
    • gestión de productos
    • Administración de proyectos
    • Diseño de la experiencia del usuario (UX)
    • Investigación de la experiencia del usuario
    • escritura

    Coursera

    • Acerca de
    • Qué ofrecemos
    • Liderazgo
    • Carreras profesionales
    • Catálogo
    • Coursera Plus
    • Certificados profesionales
    • MasterTrack® Certificates
    • Título de grados
    • Para Empresas
    • Para gobiernos
    • Para el campus
    • Conviértete en socio
    • En respuesta al Coronavirus
    • cursos gratuitos
    • Todos los cursos

    Comunidad

    • Estudiantes
    • Socios
    • Probadores beta
    • Traductores
    • Blog
    • Blog de Tecnología
    • Centro de enseñanza

    Más

    • Prensa
    • Inversores
    • Términos
    • Privacidad
    • Ayuda
    • Accesibilidad
    • Contacto
    • Artículos
    • Directorio
    • Afiliados
    • Declaración de Esclavitud Moderna
    Aprende en cualquier lado
    Placeholder
    Placeholder
    Placeholder
    © 2023 Coursera Inc. Todos los derechos reservados.
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder