57:00

2024 Texas State TXST STEM Conference Keynote Panel AI and Healthcare April 9 2024

09:00

Business Analytics Field Business Case A Better Statistical Method for A/B Testing in Marketing

08:39

The Business Analytics Field Business Case – Pricing Science for B2B – Part 2 Normalization – Deeper

06:12

The Business Analytics Field, My 2024 Predictions, How to Use the AI Revolution for Benefit or Harm

19:08

Business Analytics Pricing Science #9

15:23

Business Analytics Field Terminology Soup! Back to Decision Science? Video #8

10:55

The Business Analytics Field, Dark and Diverse Data Video #7

12:47

Thoughts for Entering the Business Analytics Field, THE AI MESS Video #6

10:30

Video #5 Thoughts for Entering the Business Analytics Field What you should Know, 1st Foundation

05:48

Thoughts for Entering the Business Analytics Field, Video #4 - What you should Know, 3 Foundations

16:09

Thoughts for Entering the Business Analytics Field #3 - Use Cases!

12:18

Thoughts for Entering the Business Analytics Field #2

10:07

Thoughts for Entering the Business Analytics Field The BIG Picture - Video #1

07:45

R Lab #1 Introduction to R - Part 1B

12:14

R Lab #1 Introduction to R - Part 2

18:14

R Lab 1 Introduction to R Part 1

07:53

NLP and Text Analytics, Part 1 Vocabulary, Lexicon, Taxonomy and Ontologies

22:42

Bill Inmon Call Centers, Hearing the Voice of Your Customer

05:34

Recursive Programming in R A Simple Example

06:53

When will the world end? The Monks and R can Help!

14:22

Excel vs R, Simple Math , Exponentiation, Factorials, Pi, Areas, Fibonaci Primes

07:32

Test for Equality of Treatments in a Repeated Measures Design Using R

06:20

How to Calculate Multivariate T-Square Statistic in R for Multiple Inference

10:22

Bayes08 Bayesian Statistics – Did Human Error Kill Everyone?

11:19

Bayes07 Bayesian Statistics and Decisions – Simple Example CALCULATIONS Lung Cancer, Student Testing

06:35

Bayes06 Bayesian Statistics and Decisions – Simple Explanation of Bayes Theorem

14:10

Bayes05 Bayesian Statistics and Decisions – Conditional Probability and Dependence

11:25

Bayes04 Bayesian Statistics and Decisions – Probability and Decision Making

10:25

Native Concepts non libraries of Matrix Algebra in R (Part 2)

13:01

Native Concepts (non libraries) of Matrix Algebra in R

10:10

Bayes03 Bayesian Statistics and Decisions – The Frequency Interpretation of Probability

13:54

Bayes02 Bayesian Statistics and Decisions – Measuring Uncertainty with Probability, Some Math

04:43

SAS IML to R Conversion Eignevlaues, Eigenvectors and Spectral Decompostion

03:43

Eigenvalues, Eigenvectors and Spectral Decomposition in R

15:31

01 Bayesian Applications Linear Regression with Python, PyMC3

09:11

Bayes01 Bayesian Statistics and Decisions – Introduction

03:13

Bayes00 Bayesian Statistics and Decisions – Series Objectives and Coverage

02:37

EG12 Looking Forward Overview of Leadership Priorities

08:03

EG11 The Illusion of the Visionary Leader

05:18

EG10 EG Leadership Failures Hands Off Leaders

08:13

EG09 Executive Guide to AI & Analytics Success – Why People Don’t Get it

07:50

EG08 Execution must be the DNA of the Organization’s Structure and Culture

11:00

EG07 Executive Job #1 = Execution

03:19

EG06 Execution Breaks Down in 4 Ways

05:31

EG05 Executive Guide to AI Analytics Success - Execution is Integral to Strategy

04:13

EG04 What is Execution and Why is it Important + Leadership vs Management

09:13

EG03 Introduction to Overcoming AI and Analytics Failure

04:46

EG02 Executive Guide to AI and Analytics Success A Story of Failure

11:51

EG01 Executive Guide to AI and Analytics Success Sources of Failure

01:26

EG00 Executive Guide to AI & Analytics Success - Introduction to the Series

10:41

An Introduction to Content Based Strategies for Recommendation Systems (Part 2)

12:51

TS02 Time Series Analysis and Forecasting Brief Considerations, Part 2

13:16

An Introduction to Association Rules for Recommendation Systems

15:43

TS01 Time Series Analysis and Forecasting - Brief Considerations, Part 1

51:59

IAA203 It's All Analytics! Data Driven Milwaukee MKE Meetup (2022)

10:39

S103 Automated Data Quality Algorithm - Data Health Check

01:43

17B Response to Comment 17 Palaiologos on t-tests

01:32

S102 - Statistica Workbench - How to use processing missing data function to recode to blank

01:57

S101 – Statistica Workbench - How to change the group order in boxplot

04:45

S100 – Survival Analysis Comparing Two or More Groups