https://insideainews.com/tag/statistics/ Illuminating AI's Frontiers: Your Go-To News Destination. Fri, 06 Oct 2023 19:20:16 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://insideainews.com/wp-content/uploads/2024/06/iain-favicon.png https://insideainews.com/tag/statistics/ 32 32 136462205 https://insideainews.com/2023/10/08/video-highlights-make-better-decisions-with-data-with-dr-allen-downey/ https://insideainews.com/2023/10/08/video-highlights-make-better-decisions-with-data-with-dr-allen-downey/#respond Sun, 08 Oct 2023 10:00:00 +0000 https://insidebigdata.com/?p=33599 In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by Dr. Allen Downey, renowned author and professor, who shares insights from his upcoming book 'Probably Overthinking It,' breaking down underused techniques like Survival Analysis, explaining common paradoxes, discussing the dynamic Overton Window, and how to be prepared for Black Swan events. Strap in for a data-driven journey that will help you learn how to make better decisions with data!]]> https://insideainews.com/2023/10/08/video-highlights-make-better-decisions-with-data-with-dr-allen-downey/feed/ 0 33599 https://insideainews.com/2023/07/13/power-to-the-data-report-podcast-the-math-behind-the-models/ https://insideainews.com/2023/07/13/power-to-the-data-report-podcast-the-math-behind-the-models/#respond Thu, 13 Jul 2023 10:00:00 +0000 https://insidebigdata.com/?p=32845 Hello, and welcome to the “Power-to-the-Data Report” podcast where we cover timely topics of the day from throughout the Big Data ecosystem. I am your host Daniel Gutierrez from insideAI News where I serve as Editor-in-Chief & Resident Data Scientist. Today’s topic is “The Math Behind the Models,” one of my favorite topics when I'm teaching my Introduction to Data Science class at UCLA. In the podcast, I'll discuss how in the age of data-driven decision-making and artificial intelligence, the role of data scientists has become increasingly vital. However, to truly excel in this field, data scientists must possess a strong foundation in mathematics and statistics. ]]> https://insideainews.com/2023/07/13/power-to-the-data-report-podcast-the-math-behind-the-models/feed/ 0 32845 https://insideainews.com/2023/05/10/top-data-science-ph-d-dissertations-2019-2020/ https://insideainews.com/2023/05/10/top-data-science-ph-d-dissertations-2019-2020/#comments Wed, 10 May 2023 13:00:00 +0000 https://insidebigdata.com/?p=32258 The American Mathematical Society (AMS) recently published in its Notices monthly journal a long list of all the doctoral degrees conferred from July 1, 2019 to June 30, 2020 for mathematics and statistics. The degrees come from 242 departments in 186 universities in the U.S. I enjoy keeping a pulse on the research realm for my field, so I went through the entire published list and picked out 48 dissertations that have high relevance to data science, machine learning, AI and deep learning. The list below is organized alphabetically by state.]]> https://insideainews.com/2023/05/10/top-data-science-ph-d-dissertations-2019-2020/feed/ 2 32258 https://insideainews.com/2022/03/06/how-to-use-the-mann-kendall-test-to-assess-cloud-costs/ https://insideainews.com/2022/03/06/how-to-use-the-mann-kendall-test-to-assess-cloud-costs/#respond Sun, 06 Mar 2022 14:00:00 +0000 https://insidebigdata.com/?p=28644 In this contributed article, Vadim Solovey, Chief Technology Officer at DoiT International, indicates that while there are many commercial, off-the-shelf solutions to track cloud costs, a lot of organizations find it helpful to craft their own customized approach. One of the most effective tools to accomplish this is the Mann-Kendall test, which has proven highly effective at separating the signal from the noise in environments generating multiple time series data feeds.]]> https://insideainews.com/2022/03/06/how-to-use-the-mann-kendall-test-to-assess-cloud-costs/feed/ 0 28644 https://insideainews.com/2021/02/12/circular-statistics-in-python-an-intuitive-intro/ https://insideainews.com/2021/02/12/circular-statistics-in-python-an-intuitive-intro/#comments Fri, 12 Feb 2021 14:00:00 +0000 https://insidebigdata.com/?p=25619 In this contributed article, Amit Babayoff, a data scientist at Deeyook, discusses the principles of circular statistics, by looking at some its basic principles and tools and why conventional linear methods don’t work well on circular data. She also explores how a simple filtering for handling noise can be constructed from these basic tools.]]> https://insideainews.com/2021/02/12/circular-statistics-in-python-an-intuitive-intro/feed/ 2 25619 https://insideainews.com/2020/07/21/book-review-bayesian-statistics-the-fun-way-by-will-kurt/ https://insideainews.com/2020/07/21/book-review-bayesian-statistics-the-fun-way-by-will-kurt/#respond Tue, 21 Jul 2020 13:00:00 +0000 https://insidebigdata.com/?p=24775 "Bayesian Statistics the Fun Way: Understanding Statistics and Probability with Star Wars, Lego, and Rubber Ducks," by Will Kurt (2019 No Starch Press) is an excellent introduction to subjects critical to all data scientists. Will Kurt, in fact, is a data scientist! I always advise my data science classes at UCLA to engage these important subjects in order to obtain a well-rounded exposure to disciplines upon which data science is based. I've already added this title to my official bibliography of learning resources given to my students. ]]> https://insideainews.com/2020/07/21/book-review-bayesian-statistics-the-fun-way-by-will-kurt/feed/ 0 24775 https://insideainews.com/2020/07/09/book-review-the-art-of-statistics-how-to-learn-from-data-by-david-spiegelhalter/ https://insideainews.com/2020/07/09/book-review-the-art-of-statistics-how-to-learn-from-data-by-david-spiegelhalter/#respond Thu, 09 Jul 2020 13:20:00 +0000 https://insidebigdata.com/?p=24708 This recent title, "The Art of Statistics - How to Learn from Data," by University of Cambridge statistician David Spiegalhalter, is an important book on a number of fronts. I particularly appreciated the topics covered in the book that touch on important parts of the Data Science Process: data visualization, linear regression, logarithmic scales, Pierson correlation coefficient, data distributions, logistic regression, ROC curves, classification trees, over-fitting, bootstrap, probability theory, probability distributions, Bayes theory, and much more. I think new data scientists should engage a gentle introduction of these topics before diving into mathematical theory and code. ]]> https://insideainews.com/2020/07/09/book-review-the-art-of-statistics-how-to-learn-from-data-by-david-spiegelhalter/feed/ 0 24708 https://insideainews.com/2018/10/24/introduction-statistical-analysis-outlier-detection-methods/ https://insideainews.com/2018/10/24/introduction-statistical-analysis-outlier-detection-methods/#respond Wed, 24 Oct 2018 15:30:11 +0000 https://insidebigdata.com/?p=21318 https://insideainews.com/2018/10/24/introduction-statistical-analysis-outlier-detection-methods/feed/ 0 21318 https://insideainews.com/white-paper/introduction-statistical-analysis-outlier-detection-methods/ https://insideainews.com/white-paper/introduction-statistical-analysis-outlier-detection-methods/#respond Mon, 22 Oct 2018 17:25:24 +0000 https://insidebigdata.com/?post_type=wpdmpro&p=21315 Our friends over at Noah Data have written a research style paper, Introduction to Statistical Analysis and Outlier Detection Methods, that discusses how statistical data can generally be classified in terms of number of variables as Univariate, Bivariate or Multivariate. Univariate data has only one variable, Bivariate data has two variables and Multivariate data has […]]]> 0 21315 https://insideainews.com/white-paper/machine-learning-big-data/ https://insideainews.com/white-paper/machine-learning-big-data/#respond Fri, 09 Mar 2018 15:50:24 +0000 https://insidebigdata.com/?post_type=wpdmpro&p=20051 In a new white paper, based on presentations given over the last few years. Wayne Thompson, Manager of Data Science Technologies at SAS, introduces key machine learning concepts, explains the correlation between statistics and machine learning, and describes SAS solutions that enable machine learning at scale. Download the report to lean more about how new machine learning technologies are being applied to big data. ]]> 0 20051