Machine Learning H?roe
Language: Spanish
Published by Staten House, 2024
- Softcover
- New
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
AbeBooks seller since June 11, 1999
Condition: New
£ 43.90
Quantity: Over 20 available
Add to basketItem description from seller
New Book. Shipped from UK. Established seller since 2000.
Seller Inventory # L2-9798895873687
- Title
- Machine Learning H?roe
- Author
- Cuantum Technologies
- Publisher
- Staten House
- Publication year
- 2024
- Condition
- New
- Binding
- PAP
- Language
- Spanish
- ISBN 13
- 9798895873687
- Item weight
- 1,111 grams
Este libro otorga acceso gratuito a nuestra plataforma de aprendizaje en línea, que incluye:
🟩 Repositorio de código gratuito con todos los bloques de código utilizados en este libro
🟩 Acceso a capítulos gratuitos de toda nuestra biblioteca de libros de programación publicados
🟩 Soporte al cliente premium gratuito
🟩 Y mucho más...
Conviértete en un Héroe del Machine Learning y Domina la Ciencia de Datos con Python
En un mundo impulsado por los datos, dominar el aprendizaje automático es tu clave para desbloquear nuevas oportunidades y resolver problemas complejos. Ya seas un principiante o un profesional que busca perfeccionar sus habilidades, Machine Learning Héroe es tu guía para volverte competente en aprendizaje automático y ciencia de datos.
Lo Que AprenderásDomina Python para Ciencia de Datos
Aprende a utilizar Python y bibliotecas esenciales de ciencia de datos como NumPy, Pandas, Matplotlib, Seaborn y Scikit-learn para manipular, visualizar y analizar datos de manera eficiente.
Prepara Datos para Machine Learning
Explora técnicas para limpiar, transformar y preparar datos brutos, incluyendo el manejo de valores faltantes, escalado de características y codificación de variables categóricas para asegurar que tus modelos sean precisos y confiables.
Construye Modelos Clásicos de Machine Learning
Comprende e implementa algoritmos populares de aprendizaje automático como:
- Regresión Lineal y Polinomial para predecir resultados continuos.
- Algoritmos de clasificación como Máquinas de Vectores de Soporte (SVM), K-Vecinos Más Cercanos (KNN) y Árboles de Decisión para categorizar datos.
- Agrupamiento K-Means para descubrir patrones en datos sin etiquetas.
Domina la Ingeniería de Características
Aprende el arte de la ingeniería de características, transformando datos brutos en características que mejoran el rendimiento del modelo. La ingeniería de características es clave para construir modelos de aprendizaje automático efectivos que produzcan resultados significativos.
Proyectos Prácticos para Consolidar el AprendizajePon la teoría en práctica con proyectos prácticos diseñados para ayudarte a aplicar técnicas de machine learning en escenarios del mundo real:
- Predice Precios de Coches: Utiliza regresión lineal para estimar precios de coches basándote en factores como kilometraje, año y marca.
- Segmentación de Clientes: Utiliza agrupamiento K-Means para agrupar clientes por comportamiento, ayudando a las empresas a entender mejor a sus clientes.
- Modelos de Clasificación: Aplica algoritmos de clasificación para predecir la supervivencia en el Titanic, utilizando métricas de precisión, exhaustividad y AUC-ROC para evaluar el rendimiento.
Estos proyectos refuerzan los conceptos clave y aseguran que ganes la experiencia práctica necesaria para abordar desafíos de datos del mundo real.
- Aspirantes a científicos de datos que desean construir una base sólida en aprendizaje automático.
- Desarrolladores de Python que buscan expandir sus habilidades hacia la ciencia de datos.
- Profesionales que buscan utilizar el aprendizaje automático para resolver problemas y tomar decisiones basadas en datos.
Ya sea que estés comenzando o buscando mejorar tus habilidades de aprendizaje automático, este libro proporciona todo lo que necesitas para convertirte en un héroe del machine learning.
Con esta completo libro, estarás equipado para manejar desafíos de datos del mundo real y desbloquear el potencial del aprendizaje automático en cualquier industria.
"Synopsis" may belong to another edition of this title.
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AbeBooks seller since June 11, 1999
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