William Nadolski
2 SlideShares
Personal Information
Organización/Lugar de trabajo
Raleigh-Durham, North Carolina Area United States
Ocupación
Data Scientist
Sector
Consulting / Advisory
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Proactive and innovative professional with four years of experience teaching quantitative courses at the university level seeking to solve complex and challenging problems in the analytics & business intelligence space. Specialties and areas of interest: Economics, Business, Statistics, Higher Education, Social Media, Public Policy, Evolutionary Psychology, Tutoring, Principles of Microeconomics, Principles of Macroeconomics, Introduction to Economics, Business Statistics, Statistical Analysis, Higher Education, Innovative Teaching Practices, SPSS, SAS, R, Big Data, Data Analysis, Time-Series Forecasting, Statistical Modelling, Analytics, Business Intelligence.
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analytics data science manufacturing time series machine learning ai tensorflow iot wavelet decomposition fourier transform computer vision deep learning signal data sklearn python visualization sensor data viya sas clustering ml
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Presentaciones

(2)

SAS AX 2018 - Manufacturing Insights by William Nadolski

Hace 2 años • 14 Visualizaciones

Times Series Feature Extraction Methods of Wearable Signal Data for Deep Learning Computer Vision Applications

Hace 2 años • 112 Visualizaciones

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Personal Information
Organización/Lugar de trabajo
Raleigh-Durham, North Carolina Area United States
Ocupación
Data Scientist
Sector
Consulting / Advisory
Acerca de
Proactive and innovative professional with four years of experience teaching quantitative courses at the university level seeking to solve complex and challenging problems in the analytics & business intelligence space. Specialties and areas of interest: Economics, Business, Statistics, Higher Education, Social Media, Public Policy, Evolutionary Psychology, Tutoring, Principles of Microeconomics, Principles of Macroeconomics, Introduction to Economics, Business Statistics, Statistical Analysis, Higher Education, Innovative Teaching Practices, SPSS, SAS, R, Big Data, Data Analysis, Time-Series Forecasting, Statistical Modelling, Analytics, Business Intelligence.
Etiquetas
analytics data science manufacturing time series machine learning ai tensorflow iot wavelet decomposition fourier transform computer vision deep learning signal data sklearn python visualization sensor data viya sas clustering ml
Ver más