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Certificate Programme in Deep Learning for Online Advertising
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๊ณผ์ ์ธ๋ถ์ฌํญ
- Introduction to Deep Learning and Neural Networks
- Deep Learning for Online Advertising: Targeting and Personalization
- Convolutional Neural Networks (CNNs) for Image Recognition in Ads
- Recurrent Neural Networks (RNNs) for Sequence Modeling in Ad Campaigns
- Deep Learning for Click-Through Rate (CTR) Prediction
- Building and Training Deep Learning Models for Advertising
- Evaluation Metrics and Model Optimization in Deep Learning for Advertising
- Case Studies: Deep Learning Applications in Online Advertising
- Ethical Considerations and Responsible Use of AI in Advertising
๊ฒฝ๋ ฅ ๊ฒฝ๋ก
Career Role Description Deep Learning Engineer (Online Advertising) Develop and implement cutting-edge deep learning models for targeted advertising campaigns, focusing on improved click-through rates and conversions.
Requires strong programming skills in Python and experience with TensorFlow or PyTorch.
Machine Learning Scientist (AdTech) Research and develop novel algorithms to optimize online advertising strategies.
Involves working with large datasets, building predictive models, and evaluating model performance.
Experience with A/B testing methodologies is essential.
Data Scientist (Digital Marketing) Analyze large datasets to extract meaningful insights, driving data-driven decisions for online advertising campaigns.
Requires strong statistical modeling skills and proficiency in data visualization tools.
Experience with SQL and big data technologies is a plus.
AI/Deep Learning Consultant (Advertising) Advise clients on the implementation of AI and deep learning solutions to enhance their online advertising performance.
This role demands excellent communication skills and a deep understanding of various advertising platforms.
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