Ementorhub

What you'll learn

Analyze social media dynamics using advanced techniques in social computing.

Explore graph theory and centrality measures in social network analysis.

Utilize crowdsourcing to enhance AI through reliable data annotation.

Build and optimize chatbots using AWS for diverse applications.

Skills you'll gain

Graph Theory

Research Design

Analytics

Social Sciences

Amazon Web Services

Data Ethics

Network Analysis

Sociology

Machine Learning

Machine Learning Methods

Data Collection

Game Design

Specialization - 4 course series

In this specialization, learners will apply their skills in social computing, social network analysis, AI, and machine learning through hands-on projects. These projects include tasks such as collecting and analyzing social media data, constructing machine learning classifiers, and developing chatbots. For example, students may extract data from social media platforms, perform sentiment analysis, or build classifiers to predict specific outcomes, such as wine quality or social trends. Learners will engage in real-world problems by applying techniques like decision trees, logistic regression, and random forests. Through these projects, they will gain practical experience in AI model evaluation, human-computer interaction, and the development of socially aware AI applications. These projects reflect authentic challenges in combining human and machine intelligence for better decision-making.

Social Network Analysis

Training AI with Humans

Chatbots