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Design Thinking and Needs Assessment
Graph Chatbot
Related lectures (29)
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Handling Data: Data Models and Wrangling
Explores data handling fundamentals, including models, sources, and wrangling, emphasizing the importance of understanding and addressing data problems.
Deep Learning: Data, Models, and Challenges
Provides an overview of deep learning concepts, focusing on data, model architecture, and challenges in handling large datasets.
Understanding Empathetic Design
Explores the importance of empathetic design through real-life examples and techniques to understand users' needs.
Data Science Fundamentals
Covers the fundamentals of data science, emphasizing breadth over depth and practical application in machine learning and data analysis.
Knowledge Representation: Semantics and Data Structures
Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.
Designing Solutions: Prototyping and User Experience
Covers the principles of prototyping and user experience design, emphasizing iterative processes and user feedback in creating effective solutions.
Understanding Data Models
Explores the significance of data models in scientific research and the challenges posed by big data.
Data Exploration: Time Series Analysis
Explores data analysis techniques, emphasizing time series prediction in a flipped classroom setting.
Machine Learning Basics
Introduces the basics of machine learning, covering supervised and unsupervised learning, linear regression, and data understanding.
