Using a Cost Functional to Optimize Hyperparameters Using Cross Validation
This blog post discusses the importance of cost functions in mathematical optimization and how it applies to machine learning problems. The author argues tha...
Categories
- coding 15
- mathematics 4
- statistics 3
- risk_management 2
- business 2
- AI 2
- case study 1
- management 1
- opinion 1
- machine learning 1
- performance 1
- evaluation 1
- optimization 1
- Python 1
coding
My RegEx Cheatsheet
In this post, I compile a cheatsheet of the main regexes that I use in my projects.
Adding a Dark/Light Theme Switcher to Minimal Mistakes
This is how I found out how to add a switcher to toggle between light and dark modes of minimal mistakes theme.
Plotting a weighted graph using networkx
In this blog post, I show how to plot a weighted graph using networkx.
Forecasting Seven Days Average Number of COVID19 Cases
<!DOCTYPE html>
Using Hyperopt for Hyperparameter Tunning
In this post I show how to use hyperopt to tune hyperparameters of classifiers.
Estimate Number of Observations Using Power Analysis
In this post I show how to calculate the necessary number of observations using statistical power analysis.
Plotting a Four-Dimensional Heatmap
Here is show how I developed a four-dimensional heatmap.
Pandas Value Counts
The value_counts() function in the popular python data science library Pandas is a quick way to count the unique values in a single column otherwise known as...
Querying the Latest Record
In this gist, I show how to get the latest record or a user based on a datetime column.
Find Row Closest to a Value
In this gist, I find what is the closest row to a given value.
Jupyter Notebook Header
This gist contains my default settings for a Jupyter notebook as a header.
Datetime Resample
In this gist, I calculate aggregate the datetime column according to different periods (e.g. day, week, and month)
Cumulative Sum with Pandas
In this gist, I calculate the cumulative sum of the column no, based on the columns nameand day.
Signing git commits with gpg
I found this post on how to sign commits with gpg on Medium, and I copied to my blog so I can keep for my records. Please, visit the original source at:
mathematics
Optimization References
My list of reference materials containing for mathematical optimisation, based on Quora.
Mixed Integer Programming
Mixed Integer Programming (MIP) are a form of optimization that is formulated using a combination of equations that are continous and discrete.
Soft Maximum
In applications you often want to take the maximum of two numbers. But the simple function
A Digression on the Cantor Set
The Cantor set is a special type of set in mathematics. In this blog post, I will use it as an illustration of how my mind works, when I learning a new topic.
statistics
Hypothesis Test Canvas
Based on the machine learning canvas, I wrote down a hypothesis test canvas to clarify what hypothesis we are testing, what data is employed and how the resu...
Hypothesis Tests Part 2: Statistical Inference
In this post, I present an overview of statistical tests. The goal of calculating a test statistic is to decided if the null hypothesis is true. Once value o...
Hypothesis Tests Part 1: Bayesian Inference
Every quantity that is estimated from data, such as the mean or the variance, is subject to uncertainties of the measurements due to data collection. If a di...
risk_management
Leveraging Generative AI for Effective Risk Management Part II: Actionable Strategies for Businesses
In today’s rapidly evolving business landscape, risk management is more critical than ever before. As industries grow increasingly complex and interconnected...
Leveraging Generative AI for Effective Risk Management Part I: Introduction to Business Risk
In life, there are certainties like death and taxes, but there’s one more constant: risk. The COVID-19 pandemic starkly reminded us of this fact as we grappl...
business
Leveraging Generative AI for Effective Risk Management Part II: Actionable Strategies for Businesses
In today’s rapidly evolving business landscape, risk management is more critical than ever before. As industries grow increasingly complex and interconnected...
Leveraging Generative AI for Effective Risk Management Part I: Introduction to Business Risk
In life, there are certainties like death and taxes, but there’s one more constant: risk. The COVID-19 pandemic starkly reminded us of this fact as we grappl...
AI
Leveraging Generative AI for Effective Risk Management Part II: Actionable Strategies for Businesses
In today’s rapidly evolving business landscape, risk management is more critical than ever before. As industries grow increasingly complex and interconnected...
Leveraging Generative AI for Effective Risk Management Part I: Introduction to Business Risk
In life, there are certainties like death and taxes, but there’s one more constant: risk. The COVID-19 pandemic starkly reminded us of this fact as we grappl...
case study
Optimizing Marketing Campaigns Part 1: Clustering
In this series of posts, we analyze how to maximize the profit of marketing campaigns using mathematical optimization techniques. In the first part, we use o...
management
Are Model Performance Metrics Enough?
My model has a “good enough” performance, is this sufficient for deployment? This post highlights the limitations of relying solely on performance metrics wh...
opinion
Are Model Performance Metrics Enough?
My model has a “good enough” performance, is this sufficient for deployment? This post highlights the limitations of relying solely on performance metrics wh...
machine learning
Are Model Performance Metrics Enough?
My model has a “good enough” performance, is this sufficient for deployment? This post highlights the limitations of relying solely on performance metrics wh...
performance
Are Model Performance Metrics Enough?
My model has a “good enough” performance, is this sufficient for deployment? This post highlights the limitations of relying solely on performance metrics wh...
evaluation
Are Model Performance Metrics Enough?
My model has a “good enough” performance, is this sufficient for deployment? This post highlights the limitations of relying solely on performance metrics wh...
optimization
The Traveling Salesman Problem
The Traveling Salesman Problem (TSP), a captivating conundrum in mathematical optimization, has seamlessly integrated itself into a multitude of industries, ...
Python
The Traveling Salesman Problem
The Traveling Salesman Problem (TSP), a captivating conundrum in mathematical optimization, has seamlessly integrated itself into a multitude of industries, ...