Matt Mayo

Deep Residual Networks for Image Classification with Python + NumPy

By Matt Mayo on July 7, 2016 in Deep Learning, Neural Networks, numpy, Python
This post outlines the results of an innovative Deep Residual Network implementation for Image Classification using Python and NumPy.
Storytelling: The Power to Influence in Data Science

By Matt Mayo on July 6, 2016 in Communication, Data Science, Storytelling
Data scientists need to share results, which is different than talking shop with other data scientists. Read about influencing people and telling stories as a data scientist.
Success Criteria for Process Mining

By Matt Mayo on July 6, 2016 in Process Mining, Success
This article provides tips about the pitfalls and advice that will help you to make your first process mining project as successful as it can be.
Mining Twitter Data with Python Part 7: Geolocation and Interactive Maps

By Matt Mayo on July 6, 2016 in Data Visualization, Geo-Localization, Javascript, Python, Social Media, Social Media Analytics, Text Mining, Twitter
The final part of this 7 part series explores using geolocation and interactive maps with Twitter data.
3 Key Ethics Principles for Big Data and Data Science

By Matt Mayo on July 6, 2016 in Big Data, Data Science, Ethics, Hui Xiong
If ethics in general are important, should ethics training be a crucial element of the data science field?
Mining Twitter Data with Python Part 6: Sentiment Analysis Basics

By Matt Mayo on July 5, 2016 in Python, Sentiment Analysis, Social Media, Social Media Analytics, Text Mining, Twitter
Part 6 of this series builds on the previous installments by exploring the basics of sentiment analysis on Twitter data.
Recursive (not Recurrent!) Neural Networks in TensorFlow

By Matt Mayo on June 30, 2016 in Neural Networks, TensorFlow
Learn how to implement recursive neural networks in TensorFlow, which can be used to learn tree-like structures, or directed acyclic graphs.
Mining Twitter Data with Python Part 5: Data Visualisation Basics

By Matt Mayo on June 29, 2016 in D3.js, Data Visualization, Python, Social Media, Social Media Analytics, Text Mining, Twitter
Part 5 of this series takes on data visualization, as we look to make sense of our data and highlight interesting insights.
The Big Data Ecosystem is Too Damn Big

By Matt Mayo on June 28, 2016 in Analytics, Big Data, Business Analytics
The Big Data ecosystem is just too damn big! It's complex, redundant, and confusing. There are too many layers in the technology stack, too many standards, and too many engines. Vendors? Too many. What is the user to do?
Mining Twitter Data with Python Part 4: Rugby and Term Co-occurrences

By Matt Mayo on June 27, 2016 in Python, Social Media, Social Media Analytics, Text Mining, Twitter
Part 4 of this series employs some of the lessons learned thus far to analyze tweets related to rugby matches and term co-occurrences.

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