Injecting Machine Learning Everywhere
Machine learning could be useful to your project, but you might not know it yet. Programming, science, engineering, and even art: all could benefit from increased use of this powerful method. With the advent of automatic machine learning tools, this technique is becoming more accessible and popular. In this talk, I will show applications of machine learning using real-world examples from a wide-range of domains. I will demonstrate how you could use recently developed tools to easily create a machine-learned task, and embed it in your project. Finally, I will discuss cutting-edge applications of machine learning and the future of this field.
Presenters
Etienne Bernard
Lead Architect
Wolfram Research
Etienne Bernard holds a PhD in statistical physics from ENS Paris. During in thesis "Algorithms and applications of the Monte Carlo method: two-dimensional melting and perfect sampling", he designe...
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