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Tip: here are the keyword queries that people search for but don't actually find in the search results.
Data science - Wikipedia Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and ... https://en.wikipedia.org/wiki/Data_science
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Data Science | Coursera Learn Data Science from Johns Hopkins University. Ask the right questions, manipulate data sets, and create visualizations to communicate results. https://www.coursera.org/specializations/jhu-data-science
Data Science | Codecademy Become a Data Scientist. Data Science is one of the fastest growing fields in tech. Get this dream job by mastering the skills you need to analyze data with SQL ... https://www.codecademy.com/learn/paths/data-science
What Is Data Science? A Beginner's Guide To Data Science | Edureka Jun 20, 2019 ... Data Science is the future of Artificial Intelligence. Learn what is Data Science, how can it add value to your business and its various lifecycle ... https://www.edureka.co/blog/what-is-data-science/
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How to Become a Data Scientist Data scientists are big data wranglers, gathering and analyzing large sets of structured and unstructured data. A data scientist's role combines computer science, ... https://www.mastersindatascience.org/careers/data-scientist/
Insight Data Science Fellows Program An intensive 7-week post-doctoral training fellowship bridging the gap between academia & data science. Join top companies working on data science. https://www.insightdatascience.com/
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What is Data Science? | Thinkful But what is it? Data science, in its most basic terms, can be defined as obtaining insights and information, really anything of value, out of data. Like any new field, ... https://www.thinkful.com/blog/what-is-data-science/
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New York Data Science Bootcamp | Flatiron School At Flatiron School, we teach today's in-demand tech skills, through our dynamic, immersive courses taught by experienced, passionate industry professionals ... https://flatironschool.com/career-courses/data-science-bootcamp/
data-science - Hacker Noon October 21. A Pleasant Way to Kick Off Your Data Science Education- This is CS50 ... Data Science Training and Data Science - Machine Learning With Python. https://hackernoon.com/tagged/data-science
Data Science Stack Exchange Imputation missing values other than using Mean, Median in python · feature- engineering missing-data data-imputation · 2 hours ago IamTheRealFord. 0. 1 ... https://datascience.stackexchange.com/
Data Science Bootcamp Houston - Become a Data Scientist ... Launch a career in data science with General Assembly's Data Science Immersive program - a world-class career accelerator in Houston. Get started in minutes! https://generalassemb.ly/education/data-science-immersive/houston
Data Science Online Courses | LinkedIn Learning, formerly Lynda.com Data science is one of todays top careers. Get the training you need to get ahead —or stay on top—in fields such as data analysis, mining, visualization, and big ... https://www.linkedin.com/learning/topics/data-science
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Data Science Weekly Data Science Weekly Newsletter: A free weekly newsletter featuring curated news, articles and jobs related to Data Science. https://www.datascienceweekly.org/
NYU Center for Data Science – Harnessing Data's Potential for the ... Apply for the MS Data Science degree! Deadline: January 22 ... CDS' Yann LeCun wins ACM Turing award, the Nobel of Computer Science. Read more about ... https://cds.nyu.edu/
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Data science (for skill-building & earning to give) - Career review Jun 13, 2015 ... Cultures of learning and mentorship, often reasonable hours and flexible hours. • High starting salaries; graduates of data science bootcamp ... https://80000hours.org/career-reviews/data-science/
Data Science - Facebook Research Data scientists at Facebook conduct large-scale, global, quantitative research to gain deeper insights into how people interact with each other and the world ... https://research.fb.com/category/data-science/
Human Data Science - IQVIA To solve the biggest challenges in human health, and realize the potential of big data in healthcare, we need more than data science. We need human data ... https://www.iqvia.com/insights/human-data-science
R for Data Science This book will teach you how to do data science with R: You'll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and ... https://r4ds.had.co.nz/
What is data science? – O'Reilly Jun 2, 2010 ... Why do we suddenly care about statistics and about data? In this post, I examine the many sides of data science — the technologies, the ... https://www.oreilly.com/radar/what-is-data-science/
The Data Science Venn Diagram — Drew Conway Sep 30, 2010 ... One of the best sessions I attended focused on issues related to teaching data science, which inevitably led to a discussion on the skills ... http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram
The Data Science Bowl: Home The 2019 Data Science Bowl ® is now live! It's time to take on your biggest challenge yet: illuminating pathways to childhood learning. Analyzing data* from PBS ... https://datasciencebowl.com/
The topics are the nodes (words) that tend to co-occur together in the same context (next to each other).
We use a combination of clustering and graph community detection algorithm (Blondel et al based on Louvain) to identify the groups of nodes are more densely connected together than with the rest of the network. They are aligned closer to each other on the graph and are given a distinct color.
We use the Jenks elbow cutoff algorithm to select the top prominent nodes that have significantly higher influence than the rest.
Click the Reveal Non-obvious button to remove the most influential words (or the ones you select) from the graph, to see what terms are hiding behind them.
The most influential nodes are either the ones with the highest betweenness centrality — appearing most often on the shortest path between any two randomly chosen nodes (i.e. linking the different distinct communities) — or the ones with the highest degree.
A structural gap shows the two distinct communities (clusters of words) in this graph that are important, but not yet connected. That's where the new potential and innovative ideas may reside.
This measure is based on a combination of the graph's connectivity and community structure, selecting the groups of nodes that would either make the graph more connected if it's too dispersed or that would help maintain diversity if it's too connected.
These are the latent brokers between the topics: the nodes that have an unusually high rate of influence (betweenness centrality) to their freqency — meaning they may appear not as often as the most influential nodes but they are important narrative shifting points.
These are usually brokers between different clusters / communities of nodes, playing not easily noticed and yet important role in this network, like the "grey cardinals" of sorts.
The most prominent relations between the nodes that exist in this graph are shown above. We treat the graph as undirected by default as it allows us to better detect general patterns.
As an option, you can also downloaded directed bigrams above, in case the direction of the relations is important (for any application other than language).
Main Topics
(according to Latent Dirichlet Allocation):
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Most Influential Words
(main topics and words according to LDA):
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LDA works only for English-language texts at the moment. More support is coming soon, subscribe @noduslabs to be informed.
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