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Data Science 101

Data Science 101FinTechStartups

Nothing is better than seeing a lowly start­up succeed. They push the envelop, think outside of the box, and inspire. The game, however, can be tough to play. For innovators and techies who don’t necessarily have experience or funding, breaking through can seem impossible. This is why accelerators and incubators

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Data Science 101Machine Learning

Whether you’re entirely new to the field of big data, or looking to expand your machine learning knowledge; whether you have 3 hours or 3 minutes; whether you want you want to know more about the technology, or the high-level applications- this list is a sample of the best Youtube

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Data Science 101

What does it take to get into tech’s hottest career path? Over the past year we’ve posted many articles related to getting into Data Science and the related fields. Experts from across the industry have talked about the core technical skills and where they can be acquired. Celebrating the launch

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Data Science 101infographics

Choosing the right language for data analysis can be almost as complicated as actually learning the language. For many reasons, R and Python are two of the most popular: R is often praised for its great features for data visualization, as it was developed with statisticians in mind; plenty of programmers love multi-purpose Python for its so-simple-a-child-could-do-it syntax. Why

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Data Science 101

Pandas is the most widely used tool for data munging. It contains high-level data structures and manipulation tools designed to make data analysis fast and easy. In this post, I am going to discuss the most frequently used pandas features. I will be using olive oil data set for this

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Data Science 101Machine Learning

I’ve previously written a lot on data mining in the abstract; now, I want to start taking you through some practical applications. Welcome to the fascinating world of the recommendation engine- this post will walk through the concepts, and later posts will teach you how to implement your own. What

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Data Science 101

About Tyler Folkman: I am currently pursuing my masters in computer science at UT Austin with a focus on machine learning and data mining. I am doing research at the intersection of healthcare and data mining as a member of the IDEAL lab and work part-time at Cognitive Scale. This tutorial

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Data Science 101Machine Learning

This article originally appeared at Sharp Sight Labs. Follow Joshua Ebner, the founder of Sharp Sight Labs, on Twitter. Read more here. Over and over, when talking with people who are starting to learn data science, there’s a frustration that comes up: “I don’t know which programming language to start

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Data Science 101

When I first started working in data, I used to think it was all about the algorithms and tools. Now banging my head against the wall has helped temper some of that. I now see the Data Science role as including at least some management consultancy. Recently Max Shron in

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Data Science 101

Yesterday, Onalytica released their report, announcing the top 100 big data influencers, and top 100 influencing brands, based on analysis of the #BigData hashtag on Twitter. The study analysed 403,185 #BigData tweets from 69,894 users, and used their unique influencer identifying technology to determine these users’ social clout. Whereas many

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