Acerca de este Curso

7,202 vistas recientes
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel avanzado
Aprox. 14 horas para completar
Inglés (English)

Habilidades que obtendrás

Data ScienceInformation EngineeringArtificial Intelligence (AI)Machine LearningPython Programming
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel avanzado
Aprox. 14 horas para completar
Inglés (English)

ofrecido por

Placeholder

IBM

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

7 horas para completar

Model Evaluation and Performance Metrics

7 horas para completar
6 videos (Total 18 minutos), 19 lecturas, 6 cuestionarios
6 videos
Evaluation Metrics2m
Introduction to Predictive Linear and Logistic Regression3m
Linear Models4m
Watson Natural Language Understanding Service Overview3m
Case Study Introduction1m
19 lecturas
Evaluation Metrics: Through the Eyes of our Working Example3m
Evaluation Metrics3m
Regression Metrics5m
Classification Metrics10m
Multi-class and Multi-label Metrics3m
Model Performance: Through the Eyes of our Working Example3m
Generalizing Well to Unseen Data3m
Model Plots, Bias, Variance4m
Relating the Evaluation Metric to a Business Metric4m
Linear Models: Through the Eyes of our Working Example3m
Generalized Linear Models5m
Linear and Logistic Regression5m
Regularized Regression3m
Stochastic Gradient Descent Classifier3m
Watson Natural Language Understanding: Through the eyes of our Working Example3m
Watson Developer Cloud Python SDK10m
Performance and Business Metrics: Through the Eyes of our Working Example3m
Getting Started with Performance and Business Metrics Case Study (Hands-on)2h
Summary/Review10m
6 ejercicios de práctica
Check for Understanding30m
Check for Understanding30m
Check for Understanding30m
Check for Understanding30m
Check for Understanding30m
End of Module Quiz10m
Semana
2

Semana 2

6 horas para completar

Building Machine Learning and Deep Learning Models

6 horas para completar
5 videos (Total 15 minutos), 14 lecturas, 5 cuestionarios
5 videos
Introduction to Tree Based Methods2m
Neural Networks2m
Introduction to neural networks4m
IBM Watson Visual Recognition Overview2m
14 lecturas
Tree-based Methods: Through the Eyes of our Working Example3m
Decision Trees4m
Bagging and Random Forests4m
Boosting2m
Ensemble Learning4m
Neural networks: Through the eyes of our Working Example3m
Multilayer perceptron (MLP)4m
Neural network architectures4m
On interpretability2m
Watson Visual Recognition: Through the Eyes of our Working Example3m
Watson Developer Cloud Python SDK10m
TensorFlow: Through the Eyes of our Working Example3m
Getting Started with Convolutional Neural Networks and TensorFlow (Hands-on)2h
Summary/Review10m
5 ejercicios de práctica
Check for Understanding30m
Check for Understanding30m
Check for Understanding30m
Check for Understanding30m
End of Module Quiz10m

Reseñas

Principales reseñas sobre AI WORKFLOW: MACHINE LEARNING, VISUAL RECOGNITION AND NLP

Ver todas las reseñas

Acerca de Programa especializado: IBM AI Enterprise Workflow

IBM AI Enterprise Workflow

Preguntas Frecuentes

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.