Examples of using Statistical modeling in English and their translations into Chinese
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Statistical Modeling: the Two Cultures.
Linear and non-linear statistical modeling.
Statistical Modeling- The two cultures.
Modern neural networks are non linear statistical modeling tools.
Statistical modeling and econometrics in Python.
Understanding such data requires robust statistical modeling and computationally efficient methods.
Statistical modeling of breast cancer incidence and mortality in the United States.
When he and his colleagues updated the statistical modeling, they produced what they feel is a more accurate estimation.
Java doesn't provide the same quality of visualizations R and Python do,and it isn't the best for statistical modeling.
Buckley said statistical modeling was used to account for that difference.
We have the temperature data, we have the weather data, and we have the queriesdata so we can do correlation and statistical modeling.”.
Lena's expertise in image analysis, statistical modeling and machine learning was instrumental in this study,” Delco said.
Students will acquire broad training in all aspects of businessanalytics with particular emphasis on industry projects, statistical modeling and communication.
Using statistical modeling, the researchers say they were able to estimate breast cancer risks for women with different diets.
Actuarial work- which involves long hours of dedicated analysis and statistical modeling- appeals to a relatively small subset of the population.
It uses a dynamic statistical modeling technique to refine results, and categorizes articles into pre-defined medical topics in 25 languages.
One of the most common question, which gets asked at various data science forums is:What is the difference between Machine Learning and Statistical modeling?
Hastie co- developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces.
One of the most common question, which gets asked at various data science forums is:What is the difference between Machine Learning and Statistical modeling?
However, it may seem that machine learning and statistical modeling are two different branches of predictive modeling, they are almost the same.
Statistical modeling, field experiments, and“big data” have revolutionized areas as diverse as development economics, public health, and product marketing.
Many different disciplines are included, such as mathematical and statistical modeling, extracting data from their origin and applying data visualization techniques.
Galesic used statistical modeling and computer simulations to analyze the results of experiments where groups of experts weighed in on quantitative questions.
The Eniram Insight Factory gives decision-making support for its partnersbased on real time data collection, statistical modeling and predictive simulations.
Thus, statistical modeling has been the main thrust in this direction in layers, where the recognition at several intermediate levels is conducted and connected.
Civilized Software- Makers of MLAB Mathematical and Statistical Modeling System for research, exploration, and scientific data analysis, including ODE models.
This book presents statistical methods and models of importance to quantitative finance andlinks finance theory to market practice via statistical modeling and decision making.
Built using other libraries such as numpy, SciPy, and matplotlib,it is very efficient for statistical modeling techniques such as classification, regression, and clustering.
Built using other libraries such as numpy, SciPy, and matplotlib,it is very efficient for statistical modeling techniques such as classification, regression.
Some BI platforms now include additional analyticalcapabilities such as predictive analytics using statistical modeling, full-fledged statistical capabilities, and the ability to leverage big data.