FlowSense

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FlowSense is the natural language interface (NLI) that assists with dataflow diagram editing in VisFlow. See the following VAST fast forward video for a short summary of the NLI. The input provided to FlowSense must be a natural language sentence that specifies a diagram editing operation. The following list shows some example inputs in the context of the sample car/gdp dataset. You must load the sample dataset before trying the other natural language inputs.


Tutorial: Machine Learning

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Now that you have learnt how to manipulate data in the tutorials Basics & From Lab to Flow, you're ready to build a model to predict customer value. In this tutorial, you will create your first machine learning model by analyzing the historical customer records and order logs from Haiku T-Shirts. The goal of this tutorial is to predict whether a new customer will become a high-value customer, based on the information gathered during their first purchase. This tutorial assumes that you have completed Tutorial: From Lab to Flow prior to beginning this one! From Dataiku DSS home page, click on the Tutorials button in the left pane, and select Tutorial: Machine Learning.


How Artificial Intelligence/Machine Learning can bring in automation and efficiency to data cleansing and data quality control

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Data is the biggest asset of a company. Nothing can be more right. However, the value of data lies in its quality. Low quality data not only has low business value but can be harmful and adversely affect business outcomes. Value of good quality data is unfathomable in business strategy and operations, meeting regulatory compliances and in technology transformations initiatives like data conversions, application consolidations etc.


Driverless AI can help you choose what you consume next - Open Source Leader in AI and ML

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Steve Jobs once said, "A lot of times, people don't know what they want until you show it to them'. This makes sense, especially in this era of constant choice overload. Consumers today have access to a plethora of products just at the click of their mouse. These innumerable choices can sometimes turn out to be confusing and hampering and do more harm than good. For instance, a company may offer millions of products on its website, but how does a consumer find a new and appealing product from amongst those?


Movie Recommendation: Should I trust IMDb?

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Hi there, nice comments about the top 12 secret shortcuts of Dataiku DSS convinced me to write another one: this time it's about plugins, movies, APIs, and how to choose the best one to watch with friends. A friend of mine has a list of all her DVDs (and takes note of who borrowed what;-). How do I choose the top 5 movies I'd like to borrow? I'm not a movie maniac and I don't know most of the titles of her collection. And when I do know one, it's most often because I have already seen it (and would prefer to watch a new one).