Hyperight

Demystifying Deep Learning for Decision Makers – Noha Badawy, Dataiku

One of the most important skills for data scientists to have, is being able to clearly communicate results so different stakeholders and decision makers can understand. Since data projects are collaborative across functions and data science results are often incorporated into a larger final project, which will require approvals for costs and resources and support from these decision makers; helping them understand the value of the data science work will make it easier for everyone working on these projects. Deep Learning is one of the topics that may not be easy to explain to stakeholders who don’t have a mathematical or statistical background… in this session, we will explore the theories and methods that will help us understand our audience and their learning style and successfully interpret our work into business language to emphasize the true impact of a data scientists’ work which heavily relies on how well others can understand it to take further actions.

Add comment

Highlight option

Turn on the "highlight" option for any widget, to get an alternative styling like this. You can change the colors for highlighted widgets in the theme options. See more examples below.

Instagram

Instagram has returned empty data. Please authorize your Instagram account in the plugin settings .

Ivana Kotorchevikj

Categories count color

Advertisement

Small ads

Flickr

  • Afro-deko-mono
  • Maria d'Odessa, touching
  • Maria d'Odessa au bâton de rouge-baiser
  • Maria d'Odessa & the red lipstick
  • Maria d'Odessa, soulful.
  • Peanuts
  • Celebrating the hundredth anniversary of Charles M. Schulz
  • À propos serendipity ...
  • Les libraires

Social Widget

Collaboratively harness market-driven processes whereas resource-leveling internal or "organic" sources.

ThemeForest