Machine learning, “big data”, and “data science” are all the rage because information is currency in an information economy. How can one get started with machine learning? What are some good resources to help you begin and continue your journey into Machine Learn? What are the prerequisites needed before one starts learning ML?
This FREE talk provides an introduction to clarify what machine learning is, what it's not and how it fits into this picture of all the hot topics around data analytics and big data.
This talk is targeted to those who are new and interested in exploring machine learning. The main take-always are to understand at a high-level what machine learning is, key software engineering tools used in the space and the skills to build to start a career in ML. This talk is facilitated by deep learning specialist Sabri Sansoy.
Sabri Sansoy is a software and robotics engineer with experience in both aerospace and entertainment industries. Currently, working on leveraging machine learning strategies in classification problems.
Most recently he developed a feature engineering process for audio samples to be ingested into convolutional neural network systems. Sabri presented his results at the 2015 Big Data Day LA conference and received numerous accolades from my peers.
He also has experience with different platforms that include PyLearn, Theano, ConvnetJS, Microsoft Azure ML and Amazon ML.
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