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
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Data Science Made Simpler – Data Science, Machine Learning, Statistics, and maybe more :) | datasciencemadesimpler.wordpress.com Reviews
https://datasciencemadesimpler.wordpress.com
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
datasciencemadesimpler.wordpress.com
Leverage Wikipedia to Build Smarter Applications – Data Science Made Simpler
https://datasciencemadesimpler.wordpress.com/2016/02/13/leverage-wikipedia-to-build-smarter-applications
Data Science Made Simpler. Data Science, Machine Learning, Statistics, and maybe more :). Leverage Wikipedia to Build Smarter Applications. February 13, 2016. March 5, 2016. 8211; if only could be trained on the massive amounts of datasets they own. And while not everyone have the privilege of owning a “data-heaven” such as Google’s or Facebook’s, the internet offers some hidden gems that are available just for anyone! Its generality and extensiveness – making it perfect for discovery applications,...
Why K-Means is not always a good idea – Data Science Made Simpler
https://datasciencemadesimpler.wordpress.com/2016/03/05/why-k-means-is-not-always-a-good-idea
Data Science Made Simpler. Data Science, Machine Learning, Statistics, and maybe more :). Why K-Means is not always a good idea. March 5, 2016. March 5, 2016. One of the most basic building blocks in Data Mining is the. Problem – given a set of untagged (hence, by the way, it is considered an unsupervised) observations, the goal is to group them in such a way that observations of the same group (a.k.a. Are more similar to each other than to those in other groups. Size of the property. Algorithm is undoub...
Develop Spark code with Jupyter notebook – Data Science Made Simpler
https://datasciencemadesimpler.wordpress.com/2016/06/23/develop-spark-code-with-jupyter-notebook
Data Science Made Simpler. Data Science, Machine Learning, Statistics, and maybe more :). Develop Spark code with Jupyter notebook. June 23, 2016. January 19, 2017. To get the results, seamlessly. Well, if you liked the idea then you should definitely try using a notebook. This post will guide you through installing the open source. Notebook to the point where you can execute distributed Spark code from within it. Who is this product good for. Documentation of snippets you’d normally run on spark-s...
How do you build a “People who bought this also bought that”-style recommendation engine – Data Science Made Simpler
https://datasciencemadesimpler.wordpress.com/2015/12/16/understanding-collaborative-filtering-approach-to-recommendations
Data Science Made Simpler. Data Science, Machine Learning, Statistics, and maybe more :). How do you build a “People who bought this also bought that”-style recommendation engine. December 16, 2015. March 5, 2016. Has the same opinion as. On some set of issues. X={x1,x2,…}. Is more likely to have. 8216;s opinion on a new issue. Than to have the opinion of any other person that doesn’t agree with. Hard vs. soft (fuzzy) clustering. MF for dimensionality reduction. Frameworks and libraries for applying MF.
Optimize Linear Algebra Calculations with Native Libraries – Data Science Made Simpler
https://datasciencemadesimpler.wordpress.com/2015/12/23/optimize-linear-algebra-calculation-with-native-libraries
Data Science Made Simpler. Data Science, Machine Learning, Statistics, and maybe more :). Optimize Linear Algebra Calculations with Native Libraries. December 23, 2015. February 13, 2016. Building large-scale machine-learning systems often involves a massive execution of linear algebra calculation under the hood. Whether you use Spark, R, or even plain old MapReduce code written in Java, you might end up doing some operation on a big matrix/vector. And those operations can be done 5x-7x faster! Vector no...
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Data Science Linux
What’s in it? How do I get it? We believe data scientists will need an open system built by the community, for the community to service all of the above. Scale, when it makes sense. Data Wrestling. Current State 80%. Not cool. Version control for data scientists means knowing what code resulted in what dataset. Leave a Reply Cancel reply. Your email address will not be published. Required fields are marked *. You may use these.
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.
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