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A Guide To The Methods, Benefits & Problems of The Interpretation of Data

datapine

Data analysis and interpretation have now taken center stage with the advent of the digital ageā€¦ and the sheer amount of data can be frightening. In fact, a Digital Universe study found that the total data supply in 2012 was 2.8 This helps businesses to develop responsive, practical business strategies. Dependable.

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Big Data Paves The Way For Fantastic New Social Listening Tools

Smart Data Collective

Having a social media strategy also allows you to put yourself level ground with your competitors. Social listening involves paying close attention to public feedback, and having a strategy in place for addressing the needs of your customers in the open.ā€. Customers are freely handing over data to brands to improve their experience.

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Hitting the Gym With Neural Networks: Implementing a CNN to Classify Gym Equipment

Insight

CNNs have been widely considered state-of-the-art tools for computer vision since 2012, when AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). Letā€™s train a CNN with fake data! I was familiar with the strategy of using data augmentation techniques (such as flipping, shearing, zooming, etc.)

Metrics 58
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Mobile Marketing 2015: Rethink Customer Acquisition, Intent Targeting

Occam's Razor

… But I was thrilled to see my utility marketing strategy in action! So, what is your company's mobile strategy? If you don't, it is time to future-proof your marketing strategy, because the world is most definitely moving to utility marketing. I'm already giving them so much of my data.

Marketing 144
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Themes and Conferences per Pacoid, Episode 7

Domino Data Lab

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about ā€œABCā€ (AI, Big Data, Cloud) adoption in enterprise. What metrics are used to evaluate success?

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Unintentional data

The Unofficial Google Data Science Blog

Implicitly, there was a prior belief about some interesting causal mechanism or an underlying hypothesis motivating the collection of the data. As computing and storage have made data collection cheaper and easier, we now gather data without this underlying motivation. And for good reason!