Top 15 Python Libraries for Data Science in 2017

@tachyeonz : As Python has gained a lot of traction in the recent years in Data Science industry, we wanted to outline some of its most useful libraries for data scientists and engineers, based on our experience.

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Elastic Analytic Databases

@tachyeonz : I used to buy VHS tapes. It was great. I could buy my favorite movies and watch them whenever I wanted. Except most of the time I owned a movie, I wasn’t actually watching it. And when DVDs came out, I had to replace my whole collection to upgrade.

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Exploring the Structure of High-Dimensional Data with HyperTools in Kaggle Kernels

@tachyeonz : The datasets we encounter as scientists, analysts, and data nerds are increasingly complex. Much of machine learning is focused on extracting meaning from complex data.

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Gender and verbs across 100,000 stories: a tidy analysis

@tachyeonz : I was fascinated by my colleague Julia Silge’s recent blog post on what verbs tend to occur after “he” or “she” in several novels, and what they might imply about gender roles within fictional work. This made me wonder what trends could be found across a larger dataset of stories.

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Topological Data Analysis – Persistent Homology

@tachyeonz : I find Topological Data Analysis (TDA) to be one of the most exciting (yet under-rated) developments in data analysis and thus I want to do my part to spread the knowledge. So what’s it all about? Well there are two major flavors of TDA: persistent homology and mapper.

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Johns Hopkins Data Science Specialization Top Performers

@tachyeonz : Editor’s note: The Johns Hopkins Data Science Specialization is the largest data science program in the world.  Brian, Roger, and myself  conceived the program at the beginning of January 2014 , then built, recorded, and launched the classes starting in April 2014 with the help of Ira.

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Remotely Monitor a Raspberry Pi To See What’s Running and Get Notifications If Something Goes Wrong

@tachyeonz : If you’re running a Raspberry Pi that’s doing something in the background, like working as a security camera system or a weather station, then it’s good to know exactly what it’s up to no matter where you are.

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Tags : data analytics, internet of things, intial state service, m, raspberry pi, remote monitoring

Published On:December 23, 2016 at 04:47PM

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12 Books Every Great Data Analyst Should Read

@tachyeonz : I had the pleasure of speaking today to the Virtual Government Tableau User Group. I mentioned that great data analysts have an appetite for learning and included a list of books that every great analyst should read.

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Tags : #dataanalytics, #datascience, #datavisualization, #dataviz, #machinelearning, m

Published On:December 08, 2016 at 01:41PM

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Python Data Visualization: Bokeh Cheat Sheet

@tachyeonz : Bokeh distinguishes itself from other Python visualization libraries such as Matplotlib or Seaborn in the fact that it is an interactive visualization library that is ideal for anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.

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Tags : #bokeh, #cheatsheet, #dataanalytics, #datavisualization, #dataviz, #python, m

Published On:December 07, 2016 at 09:17PM

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17 for ’17: Microsoft researchers on what to expect in 2017 and 2027

@tachyeonz : This week we are celebrating Computer Science Education Week around the globe.

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Tags : #ai, #cryptography, #dataanalytics, #datavisualization, #encryption, #fpga, #future, #machinelearning, #microsoft, #microsoftresearch, #predictions, #quantumcomputing, #trends, #virtualreality, m

Published On:December 07, 2016 at 09:20AM

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Top Resources if you want to work as a Data Scientist for the CIA

@tachyeonz : Ever wanted to work in security intelligence area & use your data science chops? Here are top resources to help get started working for the CIA

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Tags : #bigdata, #career, #cia, #dataanalytics, #datavisualization, #employement, #job, #machinelearning, #statistics, m

Published On:December 06, 2016 at 06:35PM

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Intro to Data Analysis & Visualization

@tachyeonz : part 1 Intro to Stata part 2 Data Wrangling part 3 Data Analysis part 4 Data Visualization .

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Tags : #dataanalytics, #datascience, #datavisualization, #dataviz, #machinelearning, #stata, #statistics, m

Published On:December 06, 2016 at 05:50AM

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