Certificate in Machine Learning for Non-Tech
-- viendo ahoraThe Certificate in Machine Learning for Non-Tech is a valuable course designed for professionals seeking to delve into the rapidly growing field of machine learning. This program bridges the gap between tech and non-tech backgrounds, making it accessible and beneficial for a wide range of learners.
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Detalles del Curso
โข Introduction to Machine Learning: Understanding the basics of machine learning, its types, and applications.
โข Data Preprocessing: Cleaning, transforming, and preparing data for machine learning models.
โข Regression Analysis: Learning about simple and multiple linear regression, polynomial regression, and evaluation metrics.
โข Classification Techniques: Studying decision trees, logistic regression, k-nearest neighbors, and other popular classification algorithms.
โข Clustering Methods: Exploring unsupervised learning, including k-means, hierarchical, and density-based clustering.
โข Dimensionality Reduction: Reducing the number of features using techniques like Principal Component Analysis (PCA) and t-SNE.
โข Neural Networks: Getting started with artificial neural networks, including backpropagation, and deep learning concepts.
โข Evaluation Metrics: Assessing model performance using various metrics, such as accuracy, precision, recall, F1 score, and ROC curves.
โข Hyperparameter Tuning: Optimizing model performance by adjusting and fine-tuning hyperparameters.
โข Real-world Applications: Applying machine learning techniques to real-world problems, such as image classification, sentiment analysis, and recommendation systems.
Trayectoria Profesional
Requisitos de Entrada
- Comprensiรณn bรกsica de la materia
- Competencia en idioma inglรฉs
- Acceso a computadora e internet
- Habilidades bรกsicas de computadora
- Dedicaciรณn para completar el curso
No se requieren calificaciones formales previas. El curso estรก diseรฑado para la accesibilidad.
Estado del Curso
Este curso proporciona conocimientos y habilidades prรกcticas para el desarrollo profesional. Es:
- No acreditado por un organismo reconocido
- No regulado por una instituciรณn autorizada
- Complementario a las calificaciones formales
Recibirรกs un certificado de finalizaciรณn al completar exitosamente el curso.
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Preguntas Frecuentes
Tarifa del curso
- 3-4 horas por semana
- Entrega temprana del certificado
- Inscripciรณn abierta - comienza cuando quieras
- 2-3 horas por semana
- Entrega regular del certificado
- Inscripciรณn abierta - comienza cuando quieras
- Acceso completo al curso
- Certificado digital
- Materiales del curso
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