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Aprendizaje automático de TensorFlow: Guía avanzada para aprender el aprendizaje automático con Scikit-Learn, Keras y TensorFlow

Aprendizaje automático de TensorFlow: Guía avanzada para aprender el aprendizaje automático con Scikit-Learn, Keras y TensorFlow

          
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About the Book

¿Alguna vez te has preguntado cómo funciona el aprendizaje automático? En estos días, el aprendizaje automático, el aprendizaje profundo y las redes neuronales son términos comunes y están aquí para quedarse como parte de nuestro lenguaje cotidiano. El aprendizaje automático no es el tema más fácil de enseñar, simplemente porque hay mucho que hacer.El aprendizaje automático, el aprendizaje profundo y la inteligencia artificial se utilizan en más aplicaciones de las que la mayoría de los seres humanos piensan: el correo electrónico, Amazon, Netflix, Spotify y otros mercados populares en línea utilizan el aprendizaje automático para eliminar los correos electrónicos no deseados y brindarle recomendaciones basadas en sus compras o preferencias de transmisión. El aprendizaje automático se utiliza en la atención médica, en las finanzas, en casi todas las industrias que pueda imaginar; está aquí para quedarse, nos guste o no.Una de las partes más importantes del aprendizaje del aprendizaje automático es saber qué algoritmo elegir y qué biblioteca. Python es el lenguaje de programación de aprendizaje automático más popular y tiene una gran ventaja sobre otros lenguajes: la gran cantidad de bibliotecas integradas; tres de los más importantes son TensorFlow, Keras y Scikit-Learn.Y de eso trata este libro: aprendizaje automático con TensorFlow, Keras y Scikit-learn. Esto es lo que aprenderá - Qué es el aprendizaje automático- Cómo se aplica en el mundo real- Diferentes modelos y tipos de aprendizaje- Diferentes algoritmos de aprendizaje automático- Aprendizaje profundo frente a aprendizaje automático- Qué es TensorFlow y cómo usarlo- Qué comprende TensorFlow- Operadores, variables, marcadores de posición y más- Qué es Keras y cómo usarlo- Keras frente a TensorFlow- Cómo usar Keras para regresión lineal- Cómo usar Keras para construir una red neuronal- Qué es Scikit-Learn y cómo usarlo- Uso de Scikit-Learn para crear árboles de regresión y clasificación- Cómo construir un modelo de bosque aleatorio- Cómo instalar Keras, TensorFlow y Scikit-Learn¡Y mucho más!Todos los ejemplos prácticos del libro usan Python, por lo que se espera que necesite algún conocimiento del idioma antes de comenzar. Si está buscando mejorar sus habilidades en el aprendizaje automático, ¡este es el libro para usted! ¡Consiga la copia de este libro hoy!


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Product Details
  • ISBN-13: 9798726302584
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 229 mm
  • No of Pages: 258
  • Spine Width: 14 mm
  • Weight: 350 gr
  • ISBN-10: 8726302586
  • Publisher Date: 22 Mar 2021
  • Binding: Paperback
  • Language: Spanish
  • Returnable: N
  • Sub Title: Guía avanzada para aprender el aprendizaje automático con Scikit-Learn, Keras y TensorFlow
  • Width: 152 mm


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