Machine learning is a crucial part of modern software development. Libraries like pandas, scikit-learn, gensim, and Theano help developers build projects that were previously impossible, and these applications empower our users and can make fundamental improvements in daily life. This talk will show you the why, what, and how of machine learning in Python.

Machine learning is a huge part of modern computing - from Facebook auto-tagging, spam rejection, and Google searches to robotic cars, predictive healthcare, and phones that can warn you about traffic jams before leaving work, machine learning is everywhere. These tools enhance our lives, and understanding what machine learning can (and can't) do is crucial to modern software development.

Thanks to the amazing Python ecosystem, it is not necessary to have deep knowledge of the mathematical techniques and statistics behind machine learning in order to use these algorithms in your daily work or hobby projects. Libraries like pandas, scikit-learn, gensim, and Theano help developers build projects that were previously impossible, and these applications empower our users and can make fundamental improvements to daily life.

This talk will show you the why, what, and how of machine learning in Python.