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

Awesome Data Projects

Launch of Project Survival

Awesome Data Projects Excerpt “This first of its kind collaboration is a step in offering hope to patients and families battling pancreatic cancer, which is one of the most deadly cancers affecting so many people,” said Niven R. Narain, Co-Founder, President and Chief Technology Officer of Berg. “This partnership is taking a true precision medicine approach to understand and treat pancreatic cancer. We will employ Berg’s Interrogative Biology™ Platform, which merges biology with technology to match the right patients to the right drugs based on the patient’s responses, and most importantly, to be able to detect this silent disease earlier so that effective treatments can lead to longer survival.”

How Big Data can improve the lives of the poor

Awesome Data Projects Excerpt “The Consultive Group to Assist the Poor, a global partnership that supports financial inclusion, noted in a report this month that the expansion worldwide of innovative digital financial services has cleared a path for millions of poor customers to move from an unbanked economy to mainstream banking. More than 80 counties have launched such services through the use of mobile phones in recent years, the report said. A CGAPvideo explains how “digital data offers huge potential for financial inclusion” for the poor. Providers can cross-reference huge amounts of data, from utility payments to housing conditions, to tailor mobile money services to consumers who previously had little or no access to them.”

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