Marketing data often requires categorization or labeling. In today’s age, marketing data can also be very big, or larger than what humans can reasonably tackle. In this course, students learn how to use supervised deep learning to train algorithms to tackle text classification tasks. Students walk through a conceptual overview of supervised machine learning and dive into real-world datasets through instructor-led tutorials in Python. The course concludes with a major project.
Este curso faz parte do Programa de cursos integrados Text Marketing Analytics
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Informações sobre o curso
Basic proficiency in Python including basic Python logic and data structures, Python’s built-in functions, and Python package pandas
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Experimente o Coursera for BusinessO que você vai aprender
Describe text classification and related terminology (e.g., supervised machine learning)
Apply text classification to marketing data through a peer-graded project
Apply text classification to a variety of popular marketing use cases via structured homeworks
Train, evaluate and improve the performance of the text classification models you create for your final project
Habilidades que você terá
- Assess Marketing Problems
- Supervised Learning Process
- Supervised Learning
- Classification Models
- Supervised Learning Outcomes
Basic proficiency in Python including basic Python logic and data structures, Python’s built-in functions, and Python package pandas
Sua empresa se beneficiaria do treinamento dos funcionários em habilidades sob demanda?
Experimente o Coursera for Businessoferecido por
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Programa - O que você aprenderá com este curso
The Supervised Machine Learning Workflow
Neural Networks and Deep Learning
Getting Started with Google Colab and Deep Learning
Linear Models and Classification Metrics
Sobre Programa de cursos integrados Text Marketing Analytics

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