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The Open Source Data Science Masters by datasciencemastersThe Open Source Data Science Masters : Curriculum for Data Science
http://www.datasciencemasters.org/
The Open Source Data Science Masters : Curriculum for Data Science
http://www.datasciencemasters.org/
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The Open Source Data Science Masters by datasciencemasters | datasciencemasters.org Reviews
https://datasciencemasters.org
The Open Source Data Science Masters : Curriculum for Data Science
Helena’s Data Sayangtist to Data Scientist Project – Helena
http://www.helenmarylabao.com/about-2/helenas-data-sayangtist-to-data-scientist-project
Data Sayangtist to Data Scientist Project. Data Sayangtist to Data Scientist Project" data-count="horizontal". So here is something that has been eating up my time lately: DATA SCIENCE RESOURCES! And I am looking for people who want to join in my study so I am devoting an entire page just for the data science project. I welcome anyone who can give up a fraction of their social life for the love of data and number crunching. The Coursera Data Science Signature Track. 🙂 Self-study Mode on! On The Widow...
Why Nonprofits Need To Develop Their Own Data Capacity – The Impact Lab
http://theimpactlab.co/blog-posts/why-nonprofits-need-to-develop-their-own-data-capacity
Why Nonprofits Need To Develop Their Own Data Capacity. 47; Impact Lab Blog Posts. 47; Why Nonprofits Need To Develop Their Own Data Capacity. Why Nonprofits Need To Develop Their Own Data Capacity. Posted August 4, 2015. In Impact Lab Blog Posts. We need more data talent in the nonprofit sector. Data has the power to revolutionize our organizations yet we lack the workforce to launch the revolution. So where should this workforce come from? So we need to develop this talent. We need to find ways of gett...
List of Machine Learning tutorials | Love, learn and laugh
https://vcjha.wordpress.com/2016/04/25/list-of-machine-learning-tutorials
Love, learn and laugh. Few random things to learn. List of Machine Learning tutorials. April 25, 2016. Following is the extensive list of machine learning tutorials. I will keep updating it. Model Validation using Resampling. Recurrent Neural Nets, LSTM, GRU. Restricted Boltzmann Machine, DBNs. Topic Modeling, LDA. Random Forest / Bagging. A curated list of awesome Machine Learning frameworks, libraries and software. A curated list of awesome data visualization libraries and resources. TED talks on AI.
DS-Toolbox | StarryNight
http://jinyi.me/DS-Toolbox
Data Scientist Senior Consultant. This page will updated with interesting tools for data scientist. The tool varies from data management, data cleaning, command line tool, some solution when tackling large dataset (not that big data), data visualisation, Data Science learning resource, etc. The Open Source Data Science Masters. R oriented Data Science Masters. Statistics and Machine Learning. Statistical Learning Stanford / OpenEdX Course. Mining Massive Data Sets / Stanford Coursera.
tidewateranalytics.wordpress.com
Tidewater Analytics | Promoting data science and analytics in the greater Hampton Roads area | Page 2
https://tidewateranalytics.wordpress.com/page/2
Promoting data science and analytics in the greater Hampton Roads area. Newer posts →. August 2015 Items of Interest. August 1, 2015. 757 Python User’s Group. Tuesday, 04 August. 7:00 pm at the Hampton Public Library, 4207 Victoria Blvd., Hampton. Brian Magill, senior programmer at Science Systems and Applications, will discuss Python Iterators and Generators, with an emphasis on Generators. Tuesday, 11 August. 7:00 pm at 757 Creative Space, 259 Granby St. Suite 250, downtown Norfolk. As well as this Kag...
The Handbook of Data Science | SeeLifeAsData
http://www.seelifeasdata.com/the-handbook-of-data-science
The Handbook of Data Science. If you treat an individual as he is, he will stay as he is, but if you treat him as if he were what he ought to be and could be, he will become what he ought to be and could be.” JOHANN WOLFGANG VON GOETHE. Someone said that the term itself is an umbrella term. There are many books out there which would deal with great detail on some of the topics mentioned above, written by their respective masters. The target audience for this book ideally can be the following. As I have a...
Jingkun | Jingkun's Research Notebook
http://jingkung.inferlab.org/author/jingkung
Jingkun's Research Notebook. Just another INFER Lab site. Skip to primary content. Skip to secondary content. The motivation of doing automated mapping. September 24, 2015. I had the meeting with Pine, discussing the motivation of my proposal, which brings me to rethink about the true motivation. Of what I am doing, and why is it a contribution. 2 why using data-driven approach instead of other approaches(such as text mining)? 8216;DOH.AHU.001.CCO’. 8216;DOH.AHU.001.CCV’. It naturally leads to the second...
Notes | Jingkun's Research Notebook
http://jingkung.inferlab.org/category/notes
Jingkun's Research Notebook. Just another INFER Lab site. Skip to primary content. Skip to secondary content. Collections of good posts. April 13, 2015. L0 Norm, L1 norm, L. A very good introduction to HMM. Intro to Reproducing Kernel Hilbert Spaces. Kalman and Bayesian Filters in Python. Machine Learning Cheat Sheet. Linear Algebra Explained in Four pages. Useful Sources for Data Science. Open Source Data Science Masters. Foundations of Data Science. What data scienctists should know (Quora).
April | 2015 | Jingkun's Research Notebook
http://jingkung.inferlab.org/2015/04
Jingkun's Research Notebook. Just another INFER Lab site. Skip to primary content. Skip to secondary content. Monthly Archives: April 2015. Collections of good posts. April 13, 2015. L0 Norm, L1 norm, L. A very good introduction to HMM. Intro to Reproducing Kernel Hilbert Spaces. Kalman and Bayesian Filters in Python. Machine Learning Cheat Sheet. Linear Algebra Explained in Four pages. Useful Sources for Data Science. Open Source Data Science Masters. Foundations of Data Science. Deep Learning Net Blogs.
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Data Science London
Urban Traffic Data Hack: Tons of sensor and traffic data complex urban problems. December 1, 2015. Roland Major, Enterprise Architect within TfL’s Information Management team, reports on the Urban Traffic Data Hackathon. In the last post on this blog, Tim introduced the roads data. Available in our unified API, describing its importance as we encourage road users to check before travelling while we carry out our Road Modernisation Plan. The run up to the event included a pre briefing session with 380 att...
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datasciencemadesimpler.wordpress.com
Data Science Made Simpler – Data Science, Machine Learning, Statistics, and maybe more :)
Data Science Made Simpler. Data Science, Machine Learning, Statistics, and maybe more :). This is my new blog about Data Science. I hope you’ll enjoy reading it. If you find a mistake, if you have any request from me or you want to make a suggestion, feel free to comment here or contact me directly via email or linkedin. Develop Spark code with Jupyter notebook. Why K-Means is not always a good idea. Leverage Wikipedia to Build Smarter Applications. Intro Data science world is full of interesting methods...
The Professional Data Science Manifesto
The Professional Data Science Manifesto. This manifesto is a work in progress.
Data Science Marketing | Where Data Drives Decisions
Where Data Drives Decisions. Call Us: (248) 953-5685. Web Site Development & Design. SEO & PPC Implementation. Internet marketing, SEO and social media marketing. Target audience to your site. Web traffic and your site content. Is your business in need of digital marketing services. 8211; yet you do not want to hire a large marketing company or a full-time marketing professional due to the expense involved? Is your business’ website invisible on Google. Your target audience, understanding the real questi...
The Open Source Data Science Masters by datasciencemasters
The Open Source Data Science Masters. Curriculum for Data Science. Download .tar.gz. Created and maintained by @clarecorthell. Founding partner of Luminant Data Science Consulting. The Open-Source Data Science Masters. The open-source curriculum for learning Data Science. Foundational in both theory and technologies, the OSDSM breaks down the core competencies necessary to making use of data. The Internet is Your Oyster. We need more Data Scientists. We’re likely to see more uncredentialed, inexperienced...
UW Data Science Master's Program - Seattle
Skip to main content. Costs and Financial Aid. Master of Science in Data Science - University Of Washington - MainHeaderContent. Master of Science in. Propel your career with big data skills, taught by world-class faculty from six top-ranked UW departments. Costs and Financial Aid. Master of Science in Data Science. Was developed by leading faculty. Work With Top Data Talent. Take Convenient Evening Classes. Our program was designed with working professionals in mind, with classes held in the evenings on...
Data Science Matters
Applications of data science with impact on real problems and that aim to advance civilization. Health, human rights, the environment, sustainable energy, that stuff. No, not social networks, videogames or serving ads, or making more money, not that stuff. @datascimatters. Salesforce’ Socher on AI app in radiology. Neat. Hellip;] big data becomes a new source of energy. Mdash; The Energy Data Deluge AutoGrid. Transforming Big Data into Real Savings. Mdash; Ecofactor, Reinventing Home Energy Savings.
Data Science Melbourne | “If we have data, let’s look at data. If all we have are opinions, let’s go with mine.”
If we have data, let’s look at data. If all we have are opinions, let’s go with mine. Data Science Melbourne is a Meetup Group based in Melbourne, Australia. We have 5,000 members, and hold regular events related to Data Science. We also organise the Melbourne Datathon, the MeDaScIn conference, an internship scheme and have raised over $20k for charity thorough our Christmas Charity Galas. The menus up top will take you to some of our activities. Follow us on Twitter – @DataScienceMelb.
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