RSS Featured Blog Posts
  • An overview of feature selection strategies
    Introduction Feature selection and engineering are the most important factors which affect the success of predictive modeling. This remains true even today despite the success of deep learning, which comes with automatic feature engineering. Parsimonious and interpretable models provide simple insights into business problems and therefore they are deemed very valuable. Furthermore, in many occasions […]
    Burak Himmetoglu
  • Helping Non-Profit Organizations as a Data Scientist
    Data Scientists are considered to be highly technical professionals and are typically seen exercising their talent in conventional business industries. However, Data Science is a problem-solving field. Therefore, it can be applied in any field that uses set of data and determines patterns to make decisions. For this reason, Data Scientists have the ability to […]
    VAMSI NELLUTLA
  • Free Book: Introduction to Statistics
    Online Statistics Education: A Multimedia Course of Study.  Project Leader: David M. Lane, Rice University. Content: Introduction Graphing Distributions Summarizing Distributions Describing Bivariate Data Probability Research Design Normal Distributions Advanced Graphs Sampling…
    Capri Granville
  • Introduction to Deep Learning
    Guest blog post by Zied HY. Zied is Senior Data Scientist at Capgemini Consulting. He is specialized in building predictive models utilizing both traditional statistical methods (Generalized Linear Models, Mixed Effects Models, Ridge, Lasso, etc.) and modern machine learning techniques (XGBoost, Random Forests, Kernel Methods, neural networks, etc.).…
    Vincent Granville
  • The Fourth Way to Practice Data Science – Purpose Built Analytic Modules
    Summary:  Purpose Built Analytic Modules (PBAMs) such as those for Fraud Detection represent a fourth way to practice data science, a new model for the good use of Citizen Data Scientists, and a new market for AI-first companies.   It appears that data science has…
    William Vorhies

Weird Data Science

Understanding the Dark Side of Physics

Excerpt “We go deep under the earth to shield ourselves from cosmic-ray radiation so that we can use our detector technology to ‘listen’ for the passage of dark matter through the earth,” says Cooley. “Dark matter is currently believed to be a non-luminous form of matter which makes up 85 percent of the matter in the universe.”

Partially Derivative, a podcast about the data all around us

JP Morgan Algorithm knows you are a rogue employee before you do

Excerpt “JPMorgan’s surveillance program, which is being tested in the trading business and will spread throughout the global investment-banking and asset-management divisions by 2016, offers a glimpse into Wall Street’s future. An industry reeling from billions of dollars in fines for the actions of employees who rigged markets, cheated clients and aided criminals is turning to technology to police itself better. Failure to do so will provide ammunition for those pushing to separate trading operations from retail banks.”

 

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