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Marco Tavora
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  • RIo de Janeiro
  • Brazil
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Cesar Mendoza commented on Marco Tavora's blog post How the Mathematics of Fractals Can Help Predict Stock Markets Shifts
"only half of it"
11 hours ago
Marco Tavora and Jane Brewer are now friends
15 hours ago
Wyck Brown commented on Marco Tavora's blog post How the Mathematics of Fractals Can Help Predict Stock Markets Shifts
"The initial premise in this article on mean reversion as it relates to asset returns is flawed along the lines of a common misunderstanding of market-based mean reversion. The article states: "In contrast, the price of a mean-reverting stock…"
16 hours ago
Norberto J. Sanchez liked Marco Tavora's blog post How the Mathematics of Fractals Can Help Predict Stock Markets Shifts
17 hours ago
William Stowe liked Marco Tavora's blog post How the Mathematics of Fractals Can Help Predict Stock Markets Shifts
Jul 9
Norberto J. Sanchez liked Marco Tavora's blog post How the Mathematics of Fractals Can Help Predict Stock Markets Shifts
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Riccardo Cannaviello liked Marco Tavora's blog post How the Mathematics of Fractals Can Help Predict Stock Markets Shifts
Jul 7
Marco Tavora's blog post was featured

How the Mathematics of Fractals Can Help Predict Stock Markets Shifts

In financial markets, two of the most common trading strategies used by investors are the momentum and mean reversion strategies. If a stock exhibits momentum (or trending behavior as shown in the figure below), its price on the current period is more likely to increase (decrease) if it has…See More
Jul 4
Sumudu Tennakoon liked Marco Tavora's blog post Deep Learning Explainability: Hints from Physics
Jun 13
Daren Scot Wilson liked Marco Tavora's blog post Deep Learning Explainability: Hints from Physics
May 31
Marco Tavora's 2 blog posts were featured
May 23
Mike Andresen liked Marco Tavora's blog post Machine Learning and Particle Motion in Liquids: An Elegant Link
May 5
Marco Tavora's blog post was featured

Machine Learning and Particle Motion in Liquids: An Elegant Link

The gradient descent algorithm is one of the most popular optimization techniques in machine learning. It comes in three flavors: batch or “vanilla” gradient descent (GD), stochastic gradient descent (SGD), and mini-batch gradient descent which …See More
May 5
Marco Tavora's 2 blog posts were featured
May 2

Profile Information

Short Bio
I am a theoretical physicist and data scientist. During my Ph.D. at New York University, my research was on quantum many-body systems out of equilibrium, one of today's hottest research fields in theoretical physics. In 2015 I earned a Ph.D. for my thesis "Prethermalization, universal scaling at macroscopic short times, and thermalization following a quantum quench." Subsequently, I spent two years as a postdoctoral researcher focusing on applications of computational physics methods to areas such as quantum chaos, non-equilibrium quantum dynamics, and thermalization viability. I've published several articles in the most prestigious peer-reviewed journals in the world.

I have 15 years of experience building mathematical/statistical models spanning a wide range of disciplines, including: non-equilibrium quantum systems, marketing attribution for digital and offline channels (using machine learning, game theory, stochastic processes and hierarchical Bayesian models), influencer marketing, marketing mix modeling, record linkage/data matching/entity recognition, conjoint analysis (using support vector machines), bidding optimization for digital media (using original functional optimization techniques) and many others.

I was a speaker at the American Physical Society (APS) March Meeting, the largest physics conference in the United States, in 2013, 2015 and 2016 (for more details and also information about other conferences see my personal website www.marcotavora.me)

In 2017 I co-founded Prior Solutions, a data-driven consulting company with clients in more than ten countries around the world.
My Web Site Or LinkedIn Profile
http://marcotavora.me
Field of Expertise
Data Science, Machine Learning, Deep Learning
Professional Status
Executive
Years of Experience:
15
Your Company:
Prior Solutions
Industry:
Consulting
Your Job Title:
Co-Founder and CTO
How did you find out about DataScienceCentral?
Google
Interests:
Contributing, Networking
What is your Favorite Data Mining or Analytical Website?
http://towardsdatascience.com
What Other Analytical Website do you Recommend?
http://medium.freecodecamp.org

Marco Tavora's Blog

How the Mathematics of Fractals Can Help Predict Stock Markets Shifts

Posted on July 4, 2019 at 12:30am 1 Comment

In financial markets, two of the most common trading strategies used by investors are the momentum and mean reversion strategies. If a stock exhibits momentum…

Continue

Deep Learning Explainability: Hints from Physics

Posted on May 20, 2019 at 11:46am 0 Comments


Nowadays, artificial intelligence is present in almost every part of our lives. Smartphones, social media feeds, recommendation engines, online ad networks, and navigation tools are some…

Continue

Machine Learning and Particle Motion in Liquids: An Elegant Link

Posted on May 1, 2019 at 4:57am 0 Comments

The gradient descent algorithm is one of the most popular optimization techniques in machine learning. It comes in three flavors: batch or “vanilla” gradient…

Continue

The Approximation Power of Neural Networks (with Python codes)

Posted on May 1, 2019 at 4:52am 0 Comments

Introduction

It is a well-known fact that neural networks can approximate the output of any continuous mathematical function, no matter how complicated it might be. Take for instance the function below:…

Continue

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