Posts Tagged

python

BI & AnalyticsData ScienceFeatured

Although there are lots of similarities across Software Development  and Data Science , they also have three main differences: processes, tooling and behavior. Find out. In my previous  article, I  talked about model governance and holistic model management. I received great response, along with some questions about the differences between

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Artificial IntelligenceBig DataData ScienceEventsFeaturedMachine LearningNews

Preparations are well underway for the 2018 edition of Data Natives– the data driven conference of the future, hosted in Dataconomy’s hometown of Berlin. Data Natives brings together a global community of data-driven pioneers to explore the technologies that are shaping our world- from big data to blockchain, from AI

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Big Data Analysis
Big DataData ScienceResources

Introduction A couple of months ago a client of mine asked me the following question: “What is the faster data structure object in Python for Big Data analysis today?” I get questions like this one all the time. Some of them are not easy to solve at all and it

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Data ScienceMachine Learning

This article is part of a media partnership with PyData Berlin, a group helping support open-source data science libraries and tools. To learn more about this topic, please consider attending our fourth annual PyData Berlin conference on June 30-July 2, 2017. Matti Lyra and other experts will be giving talks

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Data ScienceResources

This is the continuation of the Frequency Distribution Analysis using Python Data Stack – Part 1 article. Here we’ll be analyzing real production business surveys for your review. Application Configuration File The configuration (config) file config.py is shown in Code Listing 3. This config file includes the general settings for

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Data ScienceResources

During my years as a Consultant Data Scientist I have received many requests from my clients to provide frequency distribution reports for their specific business data needs. These reports have been very useful for the company management to make proper business decisions quickly. In this paper I would like to

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Artificial IntelligenceData ScienceEventsMachine LearningUnderstanding Big Data

Ajit Jaokar is a leading expert working at the intersection of Data Science, IoT, AI, Machine Learning, Big Data, Mobile, and Smart Cities. He teaches IoT and Data Science at Oxford and also is a director of Smart Cities Lab in Madrid. Ajit’s work involves applying machine learning techniques to

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Big DataData ScienceUnderstanding Big Data

Social networks, in one form or another, have existed since people first began to interact. Indeed, put two or more people together and you have the foundation of a social network. It is therefore no surprise that, in today’s Internet-everywhere world, online social networks have become entirely ubiquitous. Within this

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ContributorsData NativesData Science 101

On November 25th-26th 2019, we are bringing together a global community of data-driven pioneers to talk about the latest trends in tech & data at Data Natives Conference 2019. Get your ticket now at a discounted Early Bird price! Data science, analytics, machine learning, big data…  All familiar terms in

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Data ScienceIndustryTechnology & IT

During one of our data-munging sessions here at Coralogix, we found ourselves needing to assess the cardinality of large data sets. Getting the accurate result is seemingly trivial: you simply iterate over the data, and count the number of unique elements. In reality, however, the task is more troublesome, mainly

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