The Probability of a False Positive in a Drug Test
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys The Probability of a False Positive in a Drug Test
From playlist Statistics
Hypothesis Test for a Population Percentage using the P-Value Method and StatCrunch
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Hypothesis Test for a Population Percentage using the P-Value Method and StatCrunch
From playlist 8.2 Testing a Claim about a Proportion
Determine Null and Alternative Hypotheses and Type I and Type II Errors
This video provides an example on how to determine the null and alternative hypotheses and then state the Type I and Type II errors.
From playlist Hypothesis Testing with One Sample
How To Find The Z Score, Confidence Interval, and Margin of Error for a Population Mean
This statistics video tutorial explains how to find the z-score that will be used to find the confidence interval and margin of error for a population mean. This video contains 2 example problems in which you're asked to find a 90% and 95% confidence interval given the population standard
From playlist Statistics
Recent progress in predictive inference - Emmanuel Candes, Stanford University
Emmanuel Candes - Stanford University Machine learning algorithms provide predictions with a self-reported confidence score, but they are frequently inaccurate and uncalibrated, limiting their use in sensitive applications. This talk introduces novel calibration techniques addressing two
From playlist Interpretability, safety, and security in AI
Introduction to Bounce Rate | Marketing Analytics for Beginners | Part-7
In Google Analytics, bounce rate is the percentage of visitors who leave the website after viewing a single page. Bounce rate is a critical digital marketing metric that tells us whether the content and marketing strategy are working or not. In this video, we talk about the importance o
From playlist Marketing Analytics for Beginners
Yoav Benjamini: A review of challenges in high dimensional multiple inferences
Abstract: I shall classify current approaches to multiple inferences according to goals, and discuss the basic approaches being used. I shall then highlight a few challenges that await our attention : some are simple inequalities, others arise in particular applications. Recording during
From playlist Probability and Statistics
JUC West 2015 - Fast Feedback: Jenkins + Functional & Non Functional Mobile App Testing...
By, Uzi Eilon & Carlo Cadet Why is it that more teams talk about extending build automation to include functional and non-functional testing than actually can do it? Is the challenge in implementing automated tests that don’t require babysitting? Perhaps it is reliably executing parallel e
From playlist Jenkins User Conference West 2015
RubyConf 2016 - Improving Coverage Analysis by Ryan Davis
RubyConf 2016 - Improving Coverage Analysis by Ryan Davis If you follow modern practices, test coverage analysis is a lie, plain and simple. What it reports is a false positive and leaves you with a false sense of security, vulnerable to regression, and unaware that this is even the case.
From playlist RubyConf 2016
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing | AISC
For slides and more information on the paper, visit https://aisc.ai.science/events/2019-08-26 Discussion lead: Tahseen Shabab Motivation: Machine learning models are notoriously difficult to interpret and debug. This is particularly true of neural networks. In this work, we introduce a
From playlist Architecture Tuning
Master Class Unifying Model and Code Verification Why and How - MATLAB and Simulink Video
Free MATLAB Trial: https://goo.gl/yXuXnS Request a Quote: https://goo.gl/wNKDSg Contact Us: https://goo.gl/RjJAkE Verification and validation techniques applied throughout the development process enable you to find errors before they can derail your project. In this session, you’ll learn
From playlist MATLAB and Simulink Conference Talks
Z Interval [Confidence Interval] for a Proportion
Calculating, understanding, and interpreting a Z Interval [confidence interval] for an unknown population proportion
From playlist Unit 8: Hypothesis Tests & Confidence Intervals for Single Means & for Single Proportions
Ruby On Ales "You Can't Miss What You Can't Measure" by Kerri Miller
Adrift at sea, a GPS device will report your precise latitude and longitude, but if you don't know what those numbers mean, you're just as lost as before. Similarly, there are many tools that offer a wide variety of metrics about your code, but other than making you feel good, what are you
From playlist Ruby on Ales 2013
npmCamp 2016 - Testing for Accessibility with aXe by Marcy Sutton
Testing for Accessibility with aXe by Marcy Sutton
From playlist npmCamp 2016
Kaggle Reading Group: Probing Neural Network Comprehension of Natural Language Arguments | Kaggle
BERT (which we read the paper for earlier) has had really impressive success on a number of NLP tasks... but how well is it really capturing the structures of natural language? This week we're starting off on "Probing Neural Network Comprehension of Natural Language Arguments" (Niven & Ka
From playlist Kaggle Reading Group | Kaggle
Gene expression recovery in single cell transcriptomic data - Nancy Zhang
Virtual Workshop on Missing Data Challenges in Computation Statistics and Applications Topic: Gene expression recovery in single cell transcriptomic data Speaker: Nancy Zhang Date: September 10, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
Lesson: Calculate a Confidence Interval for a Population Proportion
This lesson explains how to calculator a confidence interval for a population proportion.
From playlist Confidence Intervals