“People are more interested in their projects because they have selected them.” Victor Hu
“Too few budding scientists receive adequate training in statistics and other quantitative aspects of their subject.” n.n. ( 25 April 2013 )
“AI is when a machine performs a task that human beings find interesting, useful and difficult to do. Your system is artificially intelligent if, for example, machine-learning algorithms infer a customer’s need and recommend a solution.” n.n. ( November 16, 2017 )
“For deep learning to work well, it needs lots of data. So first of all, you should have that.” Deeplearning4j ( 2014 )
“In academics or industry, if you’re not actually speaking in a language that your customers understand, then you will have a nice time talking, but no one will really listen to you.” Eric Jonas
“Developing a Big Data strategy is not all about the required IT, but also about the culture within an organisation.” Mark van Rijmenam ( September 2, 2014 )
“• Big data is about the infrastructure – ensuring that the underlying hardware, software and architecture have the ability to enable analytics. Big data is about storage, speed, performance and functionality.
• Analytics is about the data and its impact on the business, about putting in the proper data models, algorithms and tools in place to manipulate and understand the data in a way that drives effective decision-making. In other words, analytics is about enabling informed decisions and measuring impact.” Dell ( 2014 )
“If you are expecting clusters in your data, PCA is probably not the right tool.” Valentine Svensson ( 27.04.2015 )
“Why do we use exploratory graphs in data analysis?
• Understand data properties
• Find patterns in data
• Suggest modeling strategies
• “Debug” analyses” Pramit ( 29.12.2016 )
“To work on our team, where we’re building models all the time and we’re knee-deep in data, you have to have technical skills.” Tess Nesbitt