Akwel Training

Green Belt Resources

Activity 1

Compute the MPCD of each scenario, 10mins

Download Spreadsheet: Click Here

•5000 good

•Each scenario has 5,005 samples

•5 defects

•Red circles represent one sample

•Green triangles may represent multiple samples (e.g., x1000 means one thousand samples)

Remarks

•G-means is very sensitive to FNs in highly unbalanced data

•One FN, scenario 2, resulted in a beta error of 0.20 (G-means = 0.894)

•One FP, scenario 3, resulted in a very small alpha error 0.0002 (MPCD=0.999)

Activity 2

Article: Bias, Variance and How they are related to Underfitting, Overfitting

Activity 3

First coding exercise (10mins)

•Download and install Anaconda, https://www.anaconda.com/

•Open a Jupyter notebook

•Compute the binary cross-entropy error of virtual model 1 and 2.

Activity 4

Download SVM Training Files (Zip File): Click Here

Yellow Belt Resources

Activity 1

Article: The Hidden Risk of AI and Big Data

Article: Observational vs. Experimental Study

Article: A Reminder That Machine Learning is About Correlations Not Causation

Activity 2

Access the following link https://openai.com/blog/chatgpt and make two requests:

“write three paragraphs about quality 4.0”

“write the python code to compute the Pearson correlation coefficient between two random variables”
“what is the definition of the Pearsons correlation coefficient”

Activity 3

Access the following links and derive 2-3 remarks

Article: How To Say No To Useless Data Science Projects And Start Working On What You Want

Article: How to Choose Which Data Projects to Work On

Article: How to Decide Which Data Science Projects to Pursue

Article: How to Choose Your First AI Project

Activity 4

Homework

Identify two to three potential projects.

  • Write a report describing:
    • Process
    • Features
    • Problem
    • Value

Online Python Editor

Simple and Ready to Go: Onilne-Python

More Features, AI, and Sign Up Required: EinBlick

Articles by Dr. Escobar

Article: The decay of Six Sigma and the rise of Quality 4.0 in manufacturing innovation

Training Presentation Downloads

[smartslider3 slider=”159″]