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Robert R. Tucci
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  • Woburn
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Robert R. Tucci's Page

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Robert R. Tucci posted a blog post

Simpson’s Paradox, the Bane of Clinical Trials

(This article is now a chapter of my github proto-book Bayesuvius) Simpson's paradox is a recurring nightmare for all statisticians overseeing a clinical trial for a medicine. It is possible that if they leave out a certain "confounding" variable from a study, the study's conclusion on whether a medicine is effective or not, might be, without measuring that confounding variable, the opposite of what it would have been had that variable been measured. Statisticians have to enlist expert…See More
Tuesday
Robert R. Tucci's blog post was featured

Simpson’s Paradox, the Bane of Clinical Trials

(This article is now a chapter of my github proto-book Bayesuvius) Simpson's paradox is a recurring nightmare for all statisticians overseeing a clinical trial for a medicine. It is possible that if they leave out a certain "confounding" variable from a study, the study's conclusion on whether a medicine is effective or not, might be, without measuring that confounding variable, the opposite of what it would have been had that variable been measured. Statisticians have to enlist expert…See More
Sunday
Robert R. Tucci's blog post was featured

Added Chapter on Reinforcement Learning to my book “Bayesuvius” on Bayesian Networks

I just uploaded a new chapter to my github proto-book "Bayesuvius". This chapter deals with Reinforcement Learning (RL) done right, i.e., with Bayesian Networks :)My chapter is heavily based on the excellent course notes for CS 285 taught at UC Berkeley by Prof. Sergey Levine. All I did was to translate some of those lectures into B net lingo.During a recent conversation that I had on LinkedIn with some very smart Machine Learning experts, the experts opined that the fields of RL and B nets did…See More
Jul 9
Robert R. Tucci posted a blog post

Today I uploaded to github the first version of my book "Bayesuvius" about Bayesian Networks

View of Mount Vesuvius form PompeiiIn the last week, I started a new book on classical (not quantum) Bayesian Networks. Today, I uploaded the first installment to github. Here is its github repo. Here is the pdf for the book. Let me quote the current Foreword.Welcome to Bayesuvius! a…See More
Jul 2
Robert R. Tucci's blog post was featured

QC Paulinesia, !(yet another book about quantum computing)

Today I uploaded to github the first version of my book “QC Paulinesia” about Quantum Computing. The title is a play on the surname of the famous quantum scientist Wolfgang Pauli and the word "Polynesia". The book is based on a paper with the same name that I wrote in 2004. Here is  its github repo. Here is the pdf for the book. Let me quote the current Foreword.…See More
Jun 28
Robert R. Tucci's blog post was featured

Generative Adversarial Networks (GANs) & Bayesian Networks

Generative Adversarial Networks (GANs) software is software for producing forgeries and imitations of data (aka synthetic data, fake data). Human beings have been making fakes, with good or evil intent, of almost everything they possibly can, since the beginning of the human race. Thus, perhaps not too surprisingly, GAN software has been widely used since it was first proposed in this amazingly recent 2014 paper. To gauge how widely GAN software has been used so far, see, for example, this 2019…See More
Jun 25
Robert R. Tucci posted a blog post

Causal AI & Bayesian Networks

Bullet ripping through Jack of Hearts. High speed photo by MIT's Harold (Doc) Edgerton. Artist Harry Clarke's 1919 illustration for "A Descent into the Maelström" Introduction We are all familiar with the dictum that "correlation does not imply causation". Furthermore, given a data file with samples of two variables x and z, we all know how to calculate the correlation between x and z. But it's only an elite minority, the few, the proud, the Bayesian Network aficionados, that know how to…See More
Jun 11
Robert R. Tucci's blog post was featured

Causal AI & Bayesian Networks

Bullet ripping through Jack of Hearts. High speed photo by MIT's Harold (Doc) Edgerton. Artist Harry Clarke's 1919 illustration for "A Descent into the Maelström" Introduction We are all familiar with the dictum that "correlation does not imply causation". Furthermore, given a data file with samples of two variables x and z, we all know how to calculate the correlation between x and z. But it's only an elite minority, the few, the proud, the Bayesian Network aficionados, that know how to…See More
Jun 11
Robert R. Tucci commented on William Vorhies's blog post Machine Learning – Can We Please Just Agree What This Means
"Very nice diagram but the Big Cahuna, Causal AI, left out!https://qbnets.wordpress.com/causality-bayesian-networks/"
Jun 11
Robert R. Tucci commented on William Vorhies's blog post Why R is Bad for You
"Thanks for sharing your experience with us. It was very enlightening. However, I think Python is quite simple. Any Data Scientist that can't learn it in a day or two is not worth his $150K/yr salary. The beauty of Python is not only its…"
Jun 8
Robert R. Tucci's blog post was featured

Information Theory (Turbo Codes) & Bayesian Networks

An error correcting code (ECC) is a way of controlling errors in data that is being transmitted over an unreliable or noisy communication channel. In an ECC, the sender encodes the message with redundant information. The receiver is able to detect a limited number of errors, and to correct these errors without retransmission.Turbo codes are a class of ECC that approach very closely the theoretical optimum for…See More
Jun 7
Robert R. Tucci replied to Sunil M's discussion Anomaly detection in Time Series Data - Help Required
Jun 4
Robert R. Tucci liked Karolis Urbonas's blog post Top mistakes data scientists make
May 31
Robert R. Tucci commented on PG Madhavan's blog post Marrying Kalman Filtering & Machine Learning
"I think you are right and your search terms are not very good. Try looking under "dynamical Bayesian Networks" https://en.wikipedia.org/wiki/Dynamic_Bayesian_network and "Probabilistic Programming"…"
May 29
Robert R. Tucci's blog post was featured

Quantum Bayesian Network view of hybrid quantum-classical computation

Introduction Hybrid Quantum-Classical Computing (HQCC) (a.k.a. Variational Quantum Eigensolver (VQE)) is often touted as one of the main algorithms of Quantum AI. In fact, Rigetti, a Silicon Valley company which for several years has provided cloud access to their superconductive quantum computer, has designed its services around the HQCC paradigm.In this brief blog post, I will explain how HQCC can be understood in terms of quantum Bayesian networks. In the process, I will review some basic…See More
May 21
Robert R. Tucci posted a blog post

IBM's new quantum computer finally achieves a quantum advantage

The online conference, IBM Think 2020, was held in May 5-6 2020. During that conference, Dario Gil, IBM Research Director, was visibly, almost orgasmically, excited with his new toy, an IBM quantum computer.The IBM quantum computer already gives a clear quantum advantage to all IBM partners, as long as they rent the version that is mounted on a Mecha. What is a Mecha?, we…See More
May 7

Profile Information

Job Title:
Programmer
Job Function:
Data Science, Machine Learning, AI, Deep Learning, Other
Industry:
Quantum computing, AI, Bayesian Networks
Short Bio:
Physics Phd
Interests:
Contributing, Networking, Finding a new position, New venture, Recruiting, Other

Robert R. Tucci's Blog

Simpson’s Paradox, the Bane of Clinical Trials

Posted on July 9, 2020 at 7:00pm 0 Comments

(This article is now a chapter of my github proto-book Bayesuvius)

Simpson's paradox is a recurring nightmare for all statisticians overseeing a clinical trial for a medicine. It is possible that if they leave out a certain "confounding" variable from a study, the study's conclusion on whether a medicine is effective or not, might be, without measuring that confounding variable, the opposite of what it would have been had that variable been measured. Statisticians have to enlist expert…

Continue

Added Chapter on Reinforcement Learning to my book “Bayesuvius” on Bayesian Networks

Posted on July 7, 2020 at 12:00pm 0 Comments

I just uploaded a new chapter to my github proto-book "Bayesuvius". This chapter deals with Reinforcement Learning (RL) done right, i.e., with Bayesian Networks :)

My chapter is heavily based on the excellent course notes for CS 285 taught at UC Berkeley by Prof. Sergey Levine. All I did was to translate some of those lectures into B net lingo.

During a recent conversation that I had on LinkedIn with some very smart Machine Learning experts, the experts opined that the fields…

Continue

QC Paulinesia, !(yet another book about quantum computing)

Posted on June 27, 2020 at 1:00pm 0 Comments

Today I uploaded to github the first version of my book “QC Paulinesia” about Quantum Computing. The title is a play on the surname of the famous quantum scientist Wolfgang Pauli and the word "Polynesia". The book is based on a paper with the same name that I wrote in 2004. 

Here is  its github repo. Here is the pdf for the book. Let me quote the current…

Continue

Generative Adversarial Networks (GANs) & Bayesian Networks

Posted on June 24, 2020 at 11:30pm 0 Comments

Generative Adversarial Networks (GANs) software is software for producing forgeries and imitations of data (aka synthetic data, fake data). Human beings have been making fakes, with good or evil intent, of almost everything they possibly can, since the beginning of the human race. Thus, perhaps not too surprisingly, GAN software has been widely used since it was first proposed in this amazingly recent 2014 paper. To gauge how widely GAN software has been used so far, see, for example, this…

Continue

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