Sat.Apr 28, 2018

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O’Reilly AI Conference | September 4–7, 2018 | San Francisco

CTOvision

Artificial intelligence and machine learning is one of the hottest topics on our site. Want to put AI to work right now? Cut through the noise and see what's real (and what's coming) in applied AI at the Artificial Intelligence Conference. Leaders and innovators will explore the most promising applied machine learning and artificial intelligence […].

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Creating a dict of lists in Python

WordAligned

Suppose you have a list of objects which you want to convert into a dict mapping from some object key to the (sub-)list of objects with that key. To provide a simple example, let’s start with a list of fruits. from collections import namedtuple Fruit = namedtuple('Fruit', 'name colour') def banana(): return Fruit('banana', 'yellow') def grape(): return Fruit('grape', 'green') def pear(): return Fruit('pear', 'green&

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How to Revitalise Your Business When You’ve Hit a Slump

Strategy Driven

Even the most dynamic and driven entrepreneurs and professionals can find themselves falling into something of a professional slump at some point in their career. It’s not that things are going badly, it’s just that they’re not improving, the ideas have dried up, and it’s difficult to see the business adapting sufficiently to meet the inevitable challenges the future will bring.

How To 20
article thumbnail

Creating a dict of lists in Python

WordAligned

Suppose you have a list of objects which you want to convert into a dict mapping from some object key to the (sub-)list of objects with that key. To provide a simple example, let’s start with a list of fruits. from collections import namedtuple Fruit = namedtuple('Fruit', 'name colour') def banana(): return Fruit('banana', 'yellow') def grape(): return Fruit('grape', 'green') def pear(): return Fruit('pear', 'green') def strawberry(): return Fruit('strawberry', 'red') def cherry(): return

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.