Published Nov 7, 2014

Mining the Social Web with Matthew Russell

Explore the ethical challenges and innovative techniques in social data mining with Matthew Russell, as he delves into cognitive computing's applications in sectors like finance and human trafficking, the role of similarity functions in simplifying complex insights, and the shared responsibility in data management.

Episode Highlights

Topics covered

Episode Highlights

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Dexa/Kyle Polich

Mining the Social Web with Matthew Russell

Topics covered

Popular Clips

Understanding Similarity Functions

Cognitive Computing Insights

Data Transformation Insights

Virtual Machine Insights

Data Responsibility Debate

Data Bias Awareness

Job Title Similarity

Exploring Online Resources

Accessible Data Science

Social Web Exploration

Simplifying Data Analysis

Cognitive Computing Challenges

Mining Social Data

Simplifying Data Insights

Social API Insights

Episode Highlights

Data Responsibility

Cognitive Computing

Data Analysis Techniques

Social Data Mining

Related Episodes

Social Networks

Introduction

Shadow Profiles on Social Networks

Mapping Reddit Topics with Randy Olson

Modeling Fake News

ContentMine

Data Myths with Karl Mamer

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Practicing and Communicating Data Science with Jeff Stanton

Oceanography and Data Science

The Model Complexity Myth

[MINI] Natural Language Processing

Economic Modeling and Prediction, Charitable Giving, and a Follow Up with Peter Backus

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Machine Learning Done Wrong

Mining the Social Web with Matthew Russell

Topics covered

Popular Clips

Episode Highlights

Data Responsibility

Cognitive Computing

Data Analysis TechniquesMatthew Russell sheds light on the importance of similarity functions in data analysis and the value of simplifying complex data insights. He offers practical techniques for both comparing data points and making data analysis more accessible.

Data Analysis Techniques

Social Data MiningMatthew Russell explores the potential of social media APIs for data scientists, emphasizing the wealth of structured data available beyond simple tweets. His book, "Mining the Social Web," provides tools and techniques for harnessing this data across various platforms.

Social Data Mining

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