Overcoming Deep Learning Stumbling Blocks - KDnuggets

Recently at the 6th annual Deep Learning Summit in London, attendees congregated to hear from industry leaders, academics, researchers, and innovative startups, presenting both the latest cross-industry technological advancements and industry application methods. Running in parallel was the AI Assistant Summit and AI in Retail and Advertising Summit, resulting in some of the world's leading experts from Universities, brands, and emerging startups coming together. We began the day with Huma Lodhi, Data Scientist at BP, discussing some of the tricks and tips she has picked up during her work in Deep Learning, with intelligent methodologies using structured and unstructured data as the focal point. "We need to find better methods to use this data for our real-world applications. Examples of this can be Noisy Data, Missing data, or unstructured data. This gives us the principle problem for data, Quantity vs Quality."