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Career Advancement Programme in Machine Learning for Online Advertising
-- ViewingNowMachine Learning for Online Advertising: This Career Advancement Programme fast-tracks your expertise in predictive modeling and algorithmic optimization. Designed for data scientists, analysts, and marketers, this program builds skills in online advertising strategies.
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2个月完成
每周2-3小时
随时开始
无等待期
课程详情
- Foundations of Machine Learning for Online Advertising
- Predictive Modeling and Algorithm Selection for Ad Targeting
- A/B Testing and Experimentation for Online Ad Campaigns
- Big Data Processing and Analysis for Advertising
- Deep Learning for Enhanced Ad Personalization
- Online Advertising Metrics and Performance Measurement
- Natural Language Processing (NLP) for Ad Copy Optimization
- Fraud Detection and Prevention in Online Advertising
职业道路
Job Title Description Machine Learning Engineer (Online Advertising) Develop and deploy machine learning models for targeted advertising campaigns.
Focus on areas such as click-through rate prediction and conversion optimization.
Requires strong programming (Python) and machine learning algorithm expertise.
Data Scientist (Advertising Technology) Analyze large datasets to identify trends and insights that improve advertising effectiveness.
Develop predictive models and visualizations for campaign performance monitoring.
Requires strong statistical analysis and data visualization skills.
AI/ML Specialist (Programmatic Advertising) Specialise in building and optimizing algorithms for programmatic advertising platforms.
Expertise in real-time bidding and auction dynamics is essential.
Strong knowledge of machine learning techniques is needed for bidding strategy optimization.
Senior Machine Learning Scientist (Ad Tech) Lead the research and development of cutting-edge machine learning solutions for online advertising.
Mentorship and collaboration with junior team members are key responsibilities.
Requires deep theoretical understanding and practical application of machine learning.
入学要求
- 对主题的基本理解
- 英语语言能力
- 计算机和互联网访问
- 基本计算机技能
- 完成课程的奉献精神
无需事先的正式资格。课程设计注重可访问性。
课程状态
本课程为职业发展提供实用的知识和技能。它是：
- 未经认可机构认证
- 未经授权机构监管
- 对正式资格的补充
成功完成课程后，您将获得结业证书。
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