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the new breed - Kate Darling love IT !
The singularity is near,Kurzweil <--everyone should read this ! ==> cant wait for his new book summer 2023
Alien in the mirror, Fitzgeral, forward J. Vallee________ => evidence is rather terrifying, must read!
Meaningful Coincidences, Dr. Beitman ___=> amazing ! get your thinking in higher mode
The magic of believing, Claude Bristol
Technology of the New Real, Kroker (sociology x info.TECH critical theory) => Excellent !
The devil is afraid of me. Fr. G. Amorth <-- i knew it! beezlebub imps are real
Living with Frankenstein machine consciousness => mixed salad
• Deep Learning w Python, 2nd Francois Chollet
• Python Machine Learning by Example 3rd Yuxi Liu
• Deep Learning. Goodfellow, Bengio, Courville. MIT Press, 2016 => seminal work
• Advanced R. Hadley Wickham, 2017 (amazing!) => if you need to know what books to have to work with R email me
• Intro to Data Mining, 2nd Ed. Tan, Steinbach, Karpatne, Kumar, 2019
• ggplot2 Elegant graphics for data analysis. Hadley Wickham. Springer, 2016
• An Introduction to Statistical learning with applications in R, James,Witten,Hastie,Tibshirani 2017
• Hands-on Machine Learning with Scikit-Learn & TensorFlow. Aurelien Geron. O'Reilly, 2017
• Reasoning with Data. Stanton. (solid and approachable Bayesian analysis framework w m1047 pkg too)
• Probability, Statistics, and Data A Fresh Approach Using R Darrin Speegle, Bryan Clair
when i went to harvard.extension not 1 of 9 professors, 3/4 full prof, used ppt
my students dont get ppt either
https://www.inf.ed.ac.uk/teaching/courses/pi/2016_2017/phil/tufte-powerpoint.pdf

Ray Kurweil (podcase) LexFridman https://lexfridman.com/ray-kurzweil/
Consider Mr. Kurweil's strategy
In 2006 he calculates total bits in the universe to support his futurist arguments.
From my lens, this 1st principal thinking is like Einstein figuring out how fast light travels vs it eminating all around us**

