Data Collection Measurement Publishing Statistics 
Data Science 101
JANUARY 15, 2020
Bias ( syatematic unfairness in data collection ) can be a potential problem in experiments and we need to take it into account while designing experiments. Reliability: It means measurements should have repeatable results. For eg: you measure the blood pressure of a person. Statistics Essential for Dummies by D.
O'Reilly on Data
JUNE 18, 2019
There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models within days. Alex Ratner on “Creating large training data sets quickly”.
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Smart Data Collective
MAY 4, 2023
UMass Global has a very insightful article on the growing relevance of big data in business. Big data has been discussed by business leaders since the 1990s. The term was first published in 1999 and gained a solid definition in the early 2000s. It refers to datasets too large for normal statistical methods.
O'Reilly on Data
MARCH 31, 2020
All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. After training, the system can make predictions (or deliver other results) based on data it hasn’t seen before. Machine learning adds uncertainty.
Sisense
SEPTEMBER 3, 2020
Data scientists usually build models for data-driven decisions asking challenging questions that only complex calculations can try to answer and creating new solutions where necessary. Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization.
Insight
MARCH 12, 2020
There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Galbraith eventually opted to publish Cuckoo’s Calling through an acquaintance of sorts. but the publishing industry failed to see it. Data Collection The AIgent leverages book synopses and book metadata.
IBM Big Data Hub
AUGUST 7, 2023
2,3 When clinical trials are prematurely discontinued due to trial site underperformance, the research questions remain unanswered and research findings end up not published. AI algorithms have the potential to surpass traditional statistical approaches for analyzing comprehensive recruitment data and accurately forecasting enrollment rates.
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