Enroll Course: https://www.coursera.org/learn/supervised-text-classification-for-marketing-analytics
The course “Supervised Text Classification for Marketing Analytics” offers a comprehensive introduction to harnessing deep learning techniques for categorizing marketing data. As marketing datasets grow larger and more complex, manual classification becomes impractical. This course addresses that challenge by teaching students how to train algorithms to efficiently classify text data using supervised machine learning. The curriculum is designed to be hands-on, guiding learners through real-world datasets with instructor-led tutorials in Python, which is essential for practical application.
Starting with the basics, the course covers the supervised machine learning workflow, including key operational steps and performance metrics for text classification. It then delves into neural networks and deep learning principles, enabling students to understand the foundations of modern AI methods. The practical component includes working in Google Colab, leveraging TensorFlow, and transformer models, which are cutting-edge in NLP tasks.
The syllabus also emphasizes evaluation strategies, exploring different linear models and classification metrics using popular tools like scikit-learn. A major project wraps up the learning experience, allowing students to apply their knowledge on a substantial dataset.
I highly recommend this course for marketing professionals and data enthusiasts interested in applying deep learning to real-world text data challenges. It balances theoretical concepts with practical skills, making it an invaluable resource to develop expertise in supervised text classification and marketing analytics.
Enroll Course: https://www.coursera.org/learn/supervised-text-classification-for-marketing-analytics