Learning from Data: Caltech free online course, now with captions in 40 languages; Data scientist most used tools: SQL (71%), R #rstats (43%), Python (41%), Excel (36%); 13 Machine Learning and Data Mining Books for Data Scientists; The Power of Bubble Charts to display data in 4 dimensions
Here is how to call Python from R; Data Scientist Salary Survey: median salary in US is $117,500; Yann LeCun, Head of Facebook new AI Lab: we are limited only by how many smart people we can find.
My name is Bruce Ratner, and I am a dataholic. I am also an artist and poet in the world of statistical data. I always await getting my hands on a new dataset to crack open and paint the untapped, unsoiled numbers into analytic scenes and swirling equations.
Data Science in Python Tutorial, free tutorial; How Netflix Got Analytics Wrong, Then Right; Cartoon: Lets solve this problem by using #BigData none of us have any idea what to do with ; "Data Scientist" fever in Japan is gone
Is there a connection between Analytics, Mathematics and arts? How do we add arts flavor to analytics business is the question. And answer lies in century old painting by Van Gogh called "The Starry Night" which represents perfect turbulence.
Data Science Venn Diagram v2.0 - how to find "unicorn" data scientist ; Reference Texts on Data Mining and Machine Learning; Top 10 Job titles that didnt exist 5 yrs ago: 6. Data Scientist; Google can now identify house numbers on Street View, using deep learning
Great list of 25+ NLP APIs for Sentiment Analysis, Text Processing, Topic Extraction; MLbase: Distributed Machine Learning using Apache Spark; "Sexy" Data Science should be a Team Sport, or it will fail ; LinkedIn files lawsuit over data-mining bots which mine user profiles
Hadoop in the Cloud became a trending topic in 2013, with many new product and project announcements. This guest post explores 6 reasons why customers are seeing increased value in this model.
Why Is Machine Learning the most popular course at Stanford? MADlib: Big Data Machine Learning in SQL for Data Scientists; Prediction for 2014: data scientists (that's you) will be worth more; Analytics, Big Data, Data Mining, and Data Science companies and startups
This event, held at the Computer History Museum in Oct 2013, attracted a sold-out crowd who listened to 9 excellent speakers and leaders in the field - here are the presentations.
How to build a successful #DataScience team; Netflix reverse engineered Hollywood to understand how people look for movies; 6000 Companies Hiring Data Scientists; An academic paper on how to search the Internet for evidence of time travel
Currently Data Science (and Big Data) is a train that is going 99% faster than the rails can support. It can derail and become a failed fad. To succeed, Data Science and Big Data need to specialize.
Oryx on GitHub: Simple real-time large-scale machine learning infrastructure; Sad state of sentiment analysis: LESS accurate than a coin toss? Practical Tools for Exploring Data and Models, by R wizard @hadleywickham; Top stories in December
Top KDnuggets tweets, Jan 17-19: Learning from Data: Caltech free online course; Data scientist most used tools: SQL, R, Python, Excel - Jan 20, 2014.Learning from Data: Caltech free online course, now with captions in 40 languages; Data scientist most used tools: SQL (71%), R #rstats (43%), Python (41%), Excel (36%); 13 Machine Learning and Data Mining Books for Data Scientists; The Power of Bubble Charts to display data in 4 dimensions
