Category: Data Science

silverlingings 0

Speaking at Silver Linings Cloud Conference

I’ll be presenting at the Silver Linings Conference on Data Science. Here are my three sessions. Fear and Loathing in Data Science We hear it every day: the explosion of data, the promise of data analytics, the rise of artificially intelligent systems that will take everyone’s job away. In the...

jupyter 0

Jupyter Notebook Tutorial

If you do any amount of data science, you will inevitably encounter Jupyter Notebook.  Jupyter Notebook is an interesting twist to the development environment paradigm.  At first, I didn’t like it much, but after using it for a few classes, I really came to love the new paradigm where notes,...

python 0

What is Anaconda and How to Install It on Windows.

CodeBasics has a great video on Anaconda and how to install it onto your Windows machines. If you’ve not heard of Anaconda, it’s an open source distribution of the Python and R programming languages for large-scale data processing, predictive analytics, and data science, that simplifies package management and deployment. Yes,...

explain 0

How to Explain Machine Learning Predictions

Machine Learning has incredible power to revolutionize many industries.  In fact, machine learning algorithms already make decisions that impact your daily life. Unfortunately, the predictive models that are most powerful are usually the least (human) interpretable. In cases like fraud detection, end users need an understandable explanation of a particular...

ana_hitchhiker 0

A Hitchhiker’s Guide to Data Science

Python has grown to be an important language data science in recent years. Its ease of use, an active developer and user community and a solid core of scientific libraries all make it an attractive platform for data science and AI work. In this talk, Christine Doig explores data science,...