Tagged: Data Science

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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...

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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,...

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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,...

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Eighth Data Science Certificate Achieved!

Just now, I earned the certificate on Programming with Python for Data Science.  That’s certification number 8.  (and the sixth one I earned in 2017!) Only two more to go and I will *officially* be a data scientist!

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Learning Data Science Using Functional Python

Everyone has an opinion on the best way to approach data science as a career path. Some people start with statistics or machine learning theory, In this talk, explore the functional side of Python and how it can make the data scientist’s life easier.

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Machine Learning: Testing and Error Metrics

Here’s gentle introduction to the process of evaluating and improving machine learning models. The video covers the following: Training, Testing Evaluation Metrics: Accuracy, Precision, Recall, F1 Score Types of Errors: Overfitting and Underfitting Cross Validation and K-fold Cross Validation Model Evaluation Graphs Grid Search

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The Art of Data Science

No doubt, you’ve heard that about how the world is awash in data.  Data is a commodity and insight is the value added product. But can it be art? Kirell Benzi shows off some of his art work that not only visualizes data, but also makes for great art.