- Data Science and Big Data: Two very Different Beasts - Jul 6, 2015.
Creating artifact from the ore requires the tools, craftmanship and science. Same is the case of big data and data science, here we present the distinguishing factors between the ore and the artifact.
Big Data, Data Science, Sean McClure
- Using Ensembles in Kaggle Data Science Competitions – Part 2 - Jun 26, 2015.
Aspiring to be a Top Kaggler? Learn more methods like Stacking & Blending. In the previous post we discussed about ensembling models by ways of weighing, averaging and ranks. There is much more to explore in Part-2!
Competition, Data blending, Data Science, Kaggle, Netflix
- Top 20 R Machine Learning and Data Science packages - Jun 24, 2015.
We list out the top 20 popular Machine Learning R packages by analysing the most downloaded R packages from Jan-May 2015.
CRAN, Data Science, Machine Learning, R, R Packages, Top list
- Interview: Joseph Babcock, Netflix on Genie, Lipstick, and Other In-house Developed Tools - Jun 16, 2015.
We discuss role of analytics in content acquisition, data architecture at Netflix, organizational structure, and open-source tools from Netflix.
Data Science, ETL, In-house, Interview, Joseph Babcock, Netflix, Open Source, Tools
- Insights from Data Science Handbook - May 28, 2015.
Here you can find perspective of lead data scientists on the definitions ranging from data science, metrics selection while solving a problem, work ethics, the art of storytelling and why data science is important in todays world.
Data Science, Data Science Fellows, Data Science Jargon, DJ Patil, Handbook, Hilary Mason
- I’ve Been Replaced by an Analytics Robot - May 20, 2015.
A veteran statistician reflects on the journey from a statistician of the past to data scientist of today, how the work he used to do became automated, and what future can data scientists can expect.
Automation, Data Science, Future, History, Robots
- The Inconvenient Truth About Data Science - May 5, 2015.
Data is never clean, you will spend most of your time cleaning and preparing data, 95% of tasks do not require deep learning, and more inconvenient wisdom.
Advice, Data Cleaning, Data Science
- More Free Data Mining, Data Science Books and Resources - Mar 25, 2015.
More free resources and online books by leading authors about data mining, data science, machine learning, predictive analytics and statistics.
Book, Data Mining, Data Science, Free ebook, Machine Learning
- History of Data Science Infographic in 5 strands - Feb 17, 2015.
History of Data Science infographic presents key events in Data Science across 5 strands: Computer Science, Data Technology, Visualization, Mathematics/OR, and Statistics.
About Gregory Piatetsky, Data Science, History
- Automatic Statistician and the Profoundly Desired Automation for Data Science - Feb 17, 2015.
The Automatic Statistician project by Univ. of Cambridge and MIT is pushing ahead the frontiers of automation for the selection and evaluation of machine learning models. In general, what does automation mean to Data Science?
Automation, Cambridge, Data Cleaning, Data Science, Machine Learning, MIT, Modeling, Statistician
- Data Science’s Most Used, Confused, and Abused Jargon - Feb 10, 2015.
As data science has spread through the mainstream, so too has a dense vocabulary of ill-defined jargon. In a split-personality post, we offer several perspectives on many of data science's most confused terms.
Big Data Privacy, Data Science, Deep Learning, Zachary Lipton
- Predictions: 2015 Analytics and Data Science Hiring Market - Jan 13, 2015.
Thanks to Big Data, analytics have become inescapable. Forget the C-Suite if you’re not a Data Geek, recruiting for startups gets harder, analytics salary bands get a lift, and more 2015 predictions.
Apache Spark, Burtch Works, Data Science, Hiring, MOOC, Predictions for 2015, Salary, Startups
- Fundamental methods of Data Science: Classification, Regression And Similarity Matching - Jan 12, 2015.
Data classification, regression, and similarity matching underpin many of the fundamental algorithms in data science to solve business problems like consumer response prediction and product recommendation.
Classification, Data Science, Regression, Similarity
- Hot or Not: Data Science Trends in 2015 - Dec 24, 2014.
CrowdFlower infographic predicts the hot trends for data science in 2015 and which trends will fade away.
CrowdFlower, Data Democratization, Data Science, Infographic, Predictions for 2015, Social Good, Trends
- DrivenData: Data Science Competitions for Social Good - Nov 4, 2014.
DrivenData plans to bring cutting-edge practices in data science and crowdsourcing to some of the world's biggest social challenges and the organizations taking them on.
Competition, Crowdsourcing, Data Science, DrivenData, Nonprofit, Social Good
- Most Viewed Data Mining Talks at Videolectures - Sep 9, 2014.
Watch the top 25 most viewed popular data mining lectures on VideoLectures.NET to learn about topics ranging general big-data tutorials to monetizing data mining startups.
Big Data, Data Mining, Data Mining Training, Data Science, Tutorials, Videolectures
- Dataiku Data Science Studio - Aug 26, 2014.
Data Science Studio (DSS) from Dataiku is a complete Data Science software tool for developers and analysts,
which significantly shortens the time-consuming load-clean-train-test-deploy cycles of building predictive applications.
A community edition and a free trial available.
Data Mining Software, Data Preparation, Data Science, Dataiku, Florian Douetteau, Prediction
- Four main languages for Analytics, Data Mining, Data Science - Aug 18, 2014.
New KDnuggets Poll shows the growing dominance of four main languages for Analytics, Data Mining, and Data Science: R, SAS, Python, and SQL - used by 91% of data scientists - and decline in popularity of other languages, except for Julia and Scala.
Analytics Languages, Data Mining, Data Science, Julia, Poll, Python, R, SAS, Scala, SQL
- Data for Good: data-driven projects for social good - Jul 26, 2014.
Data for Good is an exciting new non-profit seeking to highlight the various data science projects and resources that can ultimately contribute to the social good.
Data Science, Government, Open Data, Social Good, Social Participation
- NYU Data Science Program – Things to Know - Jun 13, 2014.
Inside summary of NYU Data Science program launched last year, what it is, and what makes it special.
Data Science, Deep Learning, New York-NY, NYU, Ran Bi, Yann LeCun
- Data Science Last Mile - Jun 6, 2014.
This post discusses the Data Science "Last Mile", the final work to take the discovered insights and deliver them a highly usable format or integrate into a specific application.
Alpine, Data Science, Joel Horwitz, Predictive Analytics
- Guide to Data Science Cheat Sheets - May 12, 2014.
Selection of the most useful Data Science cheat sheets, covering SQL, Python (including NumPy, SciPy and Pandas), R (including Regression, Time Series, Data Mining), MATLAB, and more.
Cheat Sheet, Data Science, Python, R, SQL
- Is Data Scientist the right career path for you? Candid advice - Mar 28, 2014.
Candid advice from an industry veteran reveals the true picture behind the much-talked-about Data Scientist "glamour" and helps people have the right expectations for a Data Science career.
Advice, Career, Data Science, Data Scientist, Hadoop, Paco Nathan, Recommendation, Visualization
- Alpine Data Science Periodic Table - Feb 19, 2014.
One of the most clever giveaways at the recent Strata Conference in Santa Clara was a Periodic Table of Data Science from Alpine.
Alpine, Data Science, Periodic-Table, Strata 2014
- Split on Data Science Skills: Individual vs Team Approach - Jan 21, 2014.
The results of latest KDnuggets poll show an almost equal split between those who favor individual and those who favor the team approach. See the counterintuitive regional differences and interesting comments.
Data Science, Poll, Skills, Team
