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_joseph-jay-williams-124-perpetually-enhancing-and-personalizing-technology-for-learning-amp-health-behavior-change-124-f.jpg "AbstractnHow can we transform the everyday technology people use into intelligent, self-improving systems? Our group applies statistical machine learning algorithms to analyze randomized A/B experiments and give the most effective conditions to future users. Ongoing work includes comparing different explanations for concepts in digital lessons/problems, getting people to exercise by testing motivational text messages, and discovering how to personalize micro-interventions to reduce stress and im")
⏲ 39 min 19 sec ✓ 24-Feb-2020
_complete-statistics-for-data-science-in-6-hours-by-krish-naik.jpg "Krish Naik")
⏲ 5 hours 28 minutes 32 seconds 👁 343.7K
_median-mean-mode-percentile-124-math-statistics-for-data-science-machine-learning.jpg "codebasics")
⏲ 18 minutes 54 seconds 👁 61K
_introduction-to-data-science-thinking-critically-about-data.jpg "This video is hosted as part of the NSF 2016 STEM For All Video Showcase at: http://videohall.com/p/790nPlease join the conversation during this event May 17-May 24, 2016nnThe Mobilize Introduction to Data Science (IDS) course is a dynamic, computation-based statistics and probability curriculum that teaches all students to think critically about and with data. During the yearlong course, IDS engages students with real data, introducing statistical, computational and graphical tools for reasonin")
⏲ 1 min 61 sec ✓ 29-Apr-2016
_mathematics-of-data-science-data-science-is-everywhere.jpg "Society for Industrial and Applied Mathematics")
⏲ 3 minutes 23 seconds 👁 5.7K
_machine-learning-math-and-data-science-the-official-guide-to-my-channel.jpg "Jon Krohn")
⏲ 1 minute 44 seconds 👁 3.8K
_ross-spiral-curriculum-an-interdisciplinary-approach-to-science-la-main-la-pte-2015-presentation.jpg "In the Ross Learning System (RLS), primary and secondary students master scientific tools, methods, and theories. By integrating disciplines, they learn to see science and technology as fully engaged with human history and human culture, and to recognize both the perils and the promise of science to shape our society and our world.nnRLS facilitates intensive science inquiry through “Innovation Lab @Ross” where students are motivated to pursue intensive advanced study in mathematics and the s")
⏲ 6 min 89 sec ✓ 09-Jun-2015
_how-to-learn-math-for-data-science-and-stay-sane.jpg "Thu Vu data analytics")
⏲ 13 minutes 37 seconds 👁 95.9K
_how-to-learn-maths-for-data-science-and-programming.jpg "Python Programmer")
⏲ 5 minutes 12 seconds 👁 31K
_datasketch-data-driven-visualization-in-middle-school.jpg "This video is hosted as part of the NSF 2016 STEM For All Video Showcase at: http://videohall.com/p/683nPlease join the conversation during this event May 17-May 24, 2016nnTechnological advances are changing the way we collect, view, and interact with data. As a result, data visualizations move far beyond conventional graphs, tables, or diagrams to use problem-specific imagery and computational techniques to reveal patterns of interest. The DataSketch project explores the hypothesis that by expl")
⏲ 1 min 70 sec ✓ 29-Apr-2016
_statistics-for-data-science-124-data-science-tutorial-124-simplilearn.jpg "Simplilearn")
⏲ 20 minutes 17 seconds 👁 133.8K
_subject-overview-essential-maths-for-data-science.jpg "JCU: James Cook University, Australia")
⏲ 2 minutes 7 seconds 👁 1.1K
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_joseph-jay-williams-124-perpetually-enhancing-and-personalizing-technology-for-learning-amp-health-behavior-change-124-f.webp "AbstractnHow can we transform the everyday technology people use into intelligent, self-improving systems? Our group applies statistical machine learning algorithms to analyze randomized A/B experiments and give the most effective conditions to future users. Ongoing work includes comparing different explanations for concepts in digital lessons/problems, getting people to exercise by testing motivational text messages, and discovering how to personalize micro-interventions to reduce stress and im")
_complete-statistics-for-data-science-in-6-hours-by-krish-naik.webp "Krish Naik")
_median-mean-mode-percentile-124-math-statistics-for-data-science-machine-learning.webp "codebasics")
_introduction-to-data-science-thinking-critically-about-data.webp "This video is hosted as part of the NSF 2016 STEM For All Video Showcase at: http://videohall.com/p/790nPlease join the conversation during this event May 17-May 24, 2016nnThe Mobilize Introduction to Data Science (IDS) course is a dynamic, computation-based statistics and probability curriculum that teaches all students to think critically about and with data. During the yearlong course, IDS engages students with real data, introducing statistical, computational and graphical tools for reasonin")
_mathematics-of-data-science-data-science-is-everywhere.webp "Society for Industrial and Applied Mathematics")
_machine-learning-math-and-data-science-the-official-guide-to-my-channel.webp "Jon Krohn")
_ross-spiral-curriculum-an-interdisciplinary-approach-to-science-la-main-la-pte-2015-presentation.webp "In the Ross Learning System (RLS), primary and secondary students master scientific tools, methods, and theories. By integrating disciplines, they learn to see science and technology as fully engaged with human history and human culture, and to recognize both the perils and the promise of science to shape our society and our world.nnRLS facilitates intensive science inquiry through “Innovation Lab @Ross” where students are motivated to pursue intensive advanced study in mathematics and the s")
_how-to-learn-math-for-data-science-and-stay-sane.webp "Thu Vu data analytics")
_how-to-learn-maths-for-data-science-and-programming.webp "Python Programmer")
_datasketch-data-driven-visualization-in-middle-school.webp "This video is hosted as part of the NSF 2016 STEM For All Video Showcase at: http://videohall.com/p/683nPlease join the conversation during this event May 17-May 24, 2016nnTechnological advances are changing the way we collect, view, and interact with data. As a result, data visualizations move far beyond conventional graphs, tables, or diagrams to use problem-specific imagery and computational techniques to reveal patterns of interest. The DataSketch project explores the hypothesis that by expl")
_statistics-for-data-science-124-data-science-tutorial-124-simplilearn.webp "Simplilearn")
_subject-overview-essential-maths-for-data-science.webp "JCU: James Cook University, Australia")
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