The Impact Cycle – how to think of actionable insights
The IMPACT Cycle provides a guiding framework for thinking about the steps for being effective analytical consultant, and can be a tool to help you drive effectiveness through your analytical teams.
on Jun 29, 2014 in Analytics Consultant, Business Analytics, Business Strategy, Data Analytics, Jean-Paul Isson
Do you need a Masters Degree to become a Data Scientist?
Leading analytics experts answer the question: "Do you need a Masters Degree to become a Data Scientist?" Read practical tips and interesting commentary.
on Jun 27, 2014 in Data Science Education, Data Scientist, LinkedIn Groups, Master of Science
Interview: Samaneh Moghaddam, Applied Researcher, eBay on Opinion Mining – Typical Projects and Major Challenges
We discuss typical sentiment analysis problems at eBay, underrated challenges, career motivation, important soft skills and more.
on Jun 27, 2014 in Advice, Challenges, eBay, Interview, Samaneh Moghaddam, Skills
Data Science Skills and Business Problems
Discover what skills a data scientist benefits from learning and how the concept of a data scientist, and what businesses expect of them, has developed over time.
on Jun 27, 2014 in Alex Jones, Business Analytics, Data Science Skills, DJ Patil, McKinsey, Unicorn
Domino – A Platform For Modern Data Analysis
Tools that facilitate data science best practices have not yet matured to match their counterparts in the world of software engineering. Domino is a platform built from the ground up to fill in these gaps and accelerate modern analytical workflows.
on Jun 26, 2014 in Business Analytics, Data Analysis, Data Science Platform, Domino, Tools
Does Deep Learning Have Deep Flaws?
A recent study of neural networks found that for every correctly classified image, one can generate an "adversarial", visually indistinguishable image that will be misclassified. This suggests potential deep flaws in all neural networks, including possibly a human brain.
on Jun 19, 2014 in Artificial Intelligence, Deep Learning, Google, Image Recognition, Neural Networks
The Cardinal Sin of Data Mining and Data Science: Overfitting
Overfitting leads to public losing trust in research findings, many of which turn out to be false. We examine some famous examples, "the decline effect", Miss America age, and suggest approaches for avoiding overfitting.
on Jun 14, 2014 in Dean Abbott, John Ioannidis, Kirk D. Borne, Overfitting, S&P 500
NYU Data Science Program – Things to Know
Inside summary of NYU Data Science program launched last year, what it is, and what makes it special.
on Jun 13, 2014 in Data Science, Deep Learning, New York-NY, NYU, Ran Bi, Yann LeCun
The Algorithm that Runs the World Can Now Run More of It
The most important algorithm, used for optimizing almost everything, is linear programming. New advances allow linear programming problems to be solved faster using the new commercial parallel simplex solver.
on Jun 13, 2014 in Algorithms, FICO, Linear Programming, Optimization, Qi Huangfu, Simplex
Top 10 Data Analysis Tools for Business
Ten free, easy-to-use, and powerful tools to help you analyze and visualize data, analyze social networks, do optimization, search more efficiently, and solve your data analysis problems.
on Jun 13, 2014 in Data Analysis, Knime, RapidMiner, Tableau, Top 10, Wolfram
The First Law of Data Science: Do Umbrellas Cause Rain?
Michael Brodie on the first law of data science, the role of data curation in Big Data analysis, and Thomas Piketty economic theories.
on Jun 9, 2014 in Causation, Confirmation Bias, Correlation, Data Curation, Michael Brodie, Piketty
Data Lakes vs Data Warehouses
Data Warehouses, traditionally popular for business intelligence tasks, are being replaced by less-structured Data Lakes which allow more flexibility.
on Jun 7, 2014 in Business Intelligence, Data Lakes, Data Science Platform, Data Visualization, Data Warehouse, DataRPM
Data Science Last Mile
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.
on Jun 6, 2014 in Alpine, Data Science, Joel Horwitz, Predictive Analytics
Big Data Strategy: Datafication
Datafication of everything enables new ways of creating value and becoming more competitive. Oracle Big Data Strategist Paul Sonderegger explains.
on Jun 5, 2014 in Datafication, Las Vegas-NV, Oracle, Paul Sonderegger, Strategy
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