About
Professor of Business Analytics and Machine Learning @ Hult. I teach Machine Learning in…
Articles by Michael
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BEYOND THE RAZZLE DAZZLE: WHY YOUR COMPANY NEEDS AGILE COACHING, NOT A MANAGEMENT CONSULTANT
BEYOND THE RAZZLE DAZZLE: WHY YOUR COMPANY NEEDS AGILE COACHING, NOT A MANAGEMENT CONSULTANT
By Michael de la Maza, PhD
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4 THINGS DECISION MAKERS GET WRONG WHEN HIRING AN AGILE COACH FOR THEIR ORGANIZATION
4 THINGS DECISION MAKERS GET WRONG WHEN HIRING AN AGILE COACH FOR THEIR ORGANIZATION
By Michael de la Maza, PhD
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A Love Story: Overcoming Communication Toxins
A Love Story: Overcoming Communication Toxins
By Michael de la Maza, PhD
Contributions
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What do you do if your Data Science internship is highly competitive?
If you are up for a competitive data science internship, I see two choices: 1. Compete. The best way I know how to compete in Data Science is to do well in Kaggle competitions and other data science/machine learning competitions. I also suggest reaching out to previous interns who have been successful when applying to the position. 2. Don't compete. Head to greener and easier pastures. How competitive you want to be in your career is a fundamental choice that you will need to make again and again. It's ok to not want to be competitive.
Activity
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I listened to a pitch the other day for a high-end concierge/travel service. The founder began: The rich are getting richer. That's true now and has…
I listened to a pitch the other day for a high-end concierge/travel service. The founder began: The rich are getting richer. That's true now and has…
Shared by Michael de la Maza, PhD
Experience
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Education
Licenses & Certifications
Volunteer Experience
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Facilitator
Boston Blockchain Association (BBA)
- Present 1 year 4 months
I proposed and created a reading group for the Boston Blockchain Association. I facilitate the bimonthly sessions during which we discuss books, reports, etc. that pertain to blockchain and crypto issues.
Publications
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An analysis of selection procedures with particular attention paid to proportional and Boltzmann selection
Proceedings of the fifth international conference on genetic algorithms
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Dynamic Hill Climbing: Overcoming the limitations of optimization techniques
Second Turkish Symposium
This paper describes a novel search algorithm, called dynamic hill climbing, that borrows ideas from genetic algorithms and hill climbing techniques. Unlike both genetic
and hill climbing algorithms, dynamic hill climbing has the ability to dynamically
change its coordinate frame during the course of an optimization. Furthermore, the
algorithm moves from a coarse-grained search to a ne-grained search of the function
space by changing its mutation rate and uses a diversity-based…This paper describes a novel search algorithm, called dynamic hill climbing, that borrows ideas from genetic algorithms and hill climbing techniques. Unlike both genetic
and hill climbing algorithms, dynamic hill climbing has the ability to dynamically
change its coordinate frame during the course of an optimization. Furthermore, the
algorithm moves from a coarse-grained search to a ne-grained search of the function
space by changing its mutation rate and uses a diversity-based distance metric to ensure that it searches new regions of the space. Dynamic hill climbing is empirically
compared to a traditional genetic algorithm using De Jong's well-known ve function
test suite [4] and is shown to vastly surpass the performance of the genetic algorithm,
often nding better solutions using only 1% as many function evaluations.Other authors -
Organizations
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Scrum Alliance
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