Designing outstanding data driven presentations
We can all improve the presentations we give. Let's learn from the masters.
Distributed task queues for machine learning in Python – Celery, RabbitMQ, Redis
Benchmark of distributed task queues for machine learning in Python
Keras Vis - Web based Gradient Descent Visualization for Deep Learning in Python
Kerasvis - Visualizing Gradient Descent Like Optimizations in Python. For Keras, Theano, Tensorflow and other packages.
Python's Attribute Descriptors
A take on Python's awesome attribute descriptors and how they can be used to implement bound methods.
Support vector machines do not always separate linearly separable data in classification tasks
A simple 1D example of a support vector machine (SVM) failing to separate linearly separable classes
Improving your (Python) programming skills for Data Science and beyond
A review on books which help you to write better code. In Python and in other languages.
Factor analysis, principal component analysis and scikit learn
A comparison of factor analysis and principal component analysis. Why you should never trust a black box.
A Python Timer as Context Manager
Use a context manager to time your code.
Expectation Maximization in Python - Unsupervised Learning
Python implementation of the EM algorithm for a Gaussian mixture model
Expectation Maximization Theory - Unsupervised Learning
Theory and convergence proof of the Expectation Maximization algorithm
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