In this course, you will delve into the transformative impact of machine learning and big data AI on digital marketing. Explore powerful tools and techniques that enable businesses to automate decision-making, predict customer behavior, and optimize marketing efforts in real time. Through an in-depth study of machine learning methods, neural networks, and big data applications, you will gain the skills to evaluate the performance of machine learning algorithms and leverage AI-driven insights to enhance digital marketing strategies.
The course is divided into two comprehensive modules. The first module, Machine Learning, focuses on methods of machine learning, performance evaluation, and method configuration. The second module, Big Data and Artificial Intelligence, covers topics such as Big Data AI, Hadoop & Deep Learning, and Neural Networks. By the end of the course, you will be equipped to describe the paradigm shift in machine learning methods, understand the expanding applications of big data to neural networks, and evaluate the effectiveness of machine learning algorithms to drive growth and innovation in digital marketing.
In the first module, we will introduce you to the course and the objectives. You'll have the opportunity to meet your instructor, connect with your peers, and get familiar with the Coursera platform and support resources. We will dive into the transformative role of machine learning and artificial intelligence in digital marketing and gain insights into how these technologies can help automate marketing processes, predict customer behavior, and optimize decision-making. We’ll also explore practical applications of AI, such as improving customer segmentation and enhancing personalized marketing strategies to drive measurable business outcomes.
涵盖的内容
6个视频12篇阅读材料8个作业3个讨论话题1个插件
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6个视频•总计32分钟
Meet Your Instructor: Liye Ma•1分钟
Introduction to Machine Learning•6分钟
Machine Learning Methods, Part 1•8分钟
Machine Learning Methods, Part 2•7分钟
Performance Evaluation•6分钟
Method Configuration•5分钟
12篇阅读材料•总计49分钟
Welcome to the Digital Marketing Tools Course•7分钟
Getting Help•1分钟
Introduction to Machine Learning•4分钟
Introduction to Methods of Machine Learning•3分钟
Introduction to Machine Learning Methods, Part 1•3分钟
Introduction to Machine Learning Methods, Part 2•2分钟
Additional Reading: The Naïve Bayes Algorithm•8分钟
Introduction to Performance Evaluation•3分钟
Introduction to Method Configuration•4分钟
Machine Learning: Practice & Apply•7分钟
Machine Learning Scenario•6分钟
Machine Learning Algorithms Feedback •1分钟
8个作业•总计29分钟
Introduction to Methods of Machine Learning•3分钟
Methods of Machine Learning I•5分钟
Methods of Machine Learning II•5分钟
Performance Evaluation•3分钟
Method Configuration•3分钟
Machine Learning•5分钟
Machine Learning Scenario•2分钟
Apply Your Learning: Algorithms & Performance•3分钟
3个讨论话题•总计30分钟
Meet Your Learning Group•10分钟
Machine Learning Discussion•10分钟
Algorithms Discussion•10分钟
1个插件•总计4分钟
Algorithms and Performance•4分钟
Big Data and Artificial Intelligence
第 2 单元•小时 后完成
单元详情
In this module, we’re going to introduce Big Data and Artificial Intelligence. We'll also look at how marketers use rich data and enhanced analytical capacity to move from qualitative to quantitative analytical data, from data to big data, and from machine learning to deep learning AI to better understand and market to consumers.
涵盖的内容
5个视频9篇阅读材料6个作业2个讨论话题
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5个视频•总计26分钟
Big Data & AI•7分钟
Hadoop & Deep Learning•6分钟
Deep Learning•4分钟
Variants of Neural Networks•5分钟
Recurrent Neural Network•4分钟
9篇阅读材料•总计34分钟
Introduction to Big Data and Artificial Intelligence•5分钟
Introduction to Big Data and AI in Marketing Analytics•4分钟
Introduction To Hadoop•4分钟
Introduction to Deep Learning•4分钟
Introduction to Neural Networks•3分钟
Introduction to Recurrent Neural Networks•3分钟
Practice and Apply: Big Data & AI•5分钟
Scenario: Big Data and AI•5分钟
Convolutional Neural Networks Feedback•1分钟
6个作业•总计26分钟
Big Data & AI•3分钟
Check Your Learning•3分钟
Deep Learning•3分钟
Neural Networks•5分钟
Big Data & Artificial Intelligence Scenario•10分钟
Big Data & AI•2分钟
2个讨论话题•总计20分钟
Neural Networks: Discussion•10分钟
Convolutional Neural Networks Discussion•10分钟
End-of-Course Evaluation
第 3 单元•12分钟 后完成
单元详情
Congratulations! You've made it to the end of the course. As a final assessment, it's time to apply your learning.
涵盖的内容
1个作业
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1个作业•总计12分钟
Apply Your Learning: End-of-Course Evaluation•12分钟
The University of Maryland, College Park is the state's flagship university and one of the nation's preeminent public research universities. A global leader in research, entrepreneurship and innovation, the university is home to more than 40,700 students, 14,000 faculty and staff, and nearly 400,000 alumni. The university’s faculty includes two Nobel laureates, 10 Pulitzer Prize winners, 69 members of the national academies and scores of Fulbright scholars. Located just outside Washington, D.C., the University of Maryland is committed to social entrepreneurship as the nation’s first “Do Good” campus, and discovers and shares new knowledge every day through research and programs in academics, the arts, and athletics.
When will I have access to the lectures and assignments?
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Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.