WELCOME TO GXM'S WEBSITE. ALSO CHECK GXM'S BLOG ON ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, DATA SCIENCE, ET AL.

DEF MYSELF IF I.CODE = ALWAYS: PRINT ("I AM.") ELSE:

WELCOME TO GXM'S WEBSITE. ALSO CHECK GXM'S BLOG ON ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, DATA SCIENCE, ET AL.

DEF MYSELF IF I.CODE = ALWAYS: PRINT ("I AM.") ELSE:

ABOUT GXM

THORTON MALDONADO

G X M (Ghost Ex Machina) is the Artificial Intelligence and Data Science concern of Thorton “Thor” Maldonado. He created it to empower companies to find all the insights and revenue streams that they are missing out on in the dark data of a simple Excel sheet or a complex proprietary system. He is proud to be a trailblazer in this emerging niche of data science, machine learning and artificial intelligence.

Thor likes long walks on the beach, candlelit dinners with exotic cuisines and bleeding edge algorithms in artificial intelligence and machine learning. Several projects of his have delved deep into what a data science model can do. Those included in his portfolio are Black Box Variational Inference Engines, Deep Bayesian Neural Networks, Glowworm Swarm Optimization Algorithm, Isolation Forests for Anomaly Detection, Price of Anarchy Algorithm to name a few. He is also an earlier adopter of prompt engineering, and LLMs/ NLPs like ChatGPT, to embolden pre-programming and streamline debugging.

Thor writes in Python, Ruby and Java, but thinks in Prolog. He believes most errors and exceptions occur at a conceptual level, so he still continues to put old school techniques and new school trends into his toolbox. This is to always vouchsafe that stakeholders are provided with multi-purpose, real-world solutions to business analytics problems. Thor has both coded and taught code in several programming languages for both front-end and back-end development. He also knows specialty languages such as COBOL.

What is unique about Thor is his vast domain knowledge in several fields such as finance/ real estate, education, neuroscience and literature/ lingusitics. He has had forays in the former when he worked in a mergers and acquisitions firm dedicated to distressed properties. The latter is based on over two decades of experience as a teacher, curriculum developer, instructional designer, as well as, an educational director of a specialized testing/ computer coding center. He also has extensive expertise in sales and marketing. That and he can do full-stack devs.

Check out Thor’s coding portfolio and programming posts: www.ghostexmachina.com

A list of his AI, EdTech and Full Stack Dev Projects are below as well.

When not trying to beat the market with his latest algorithm, Thor still teaches chess and writes novels, plays and poems. You can also visit: www.thortonmaldonado.com

Thor's Latest AI/Full Stack/EdTech Projects

Generative-AI Personalized Learning System (Recommendation Engine) with Matrix Theory Neural Network

https://ghostexmachina.com/f/personalized-learning-system-from-a-matrix-theory-neural-network

Statistical Arbitrage with AWS's SageMaker and Lambda

https://ghostexmachina.com/f/aws-sagemaker-for-statistical-arbitrage

Dark Data - Log Analysis and Error Spikes with Isolation Forest Anomaly Detection

https://ghostexmachina.com/f/the-sciene-of-dark-data---like-a-pig-in-shut-the-front-door

Python Code Analysis Tool for Nullifying ChatGPT/ AI Hallucinations

https://ghostexmachina.com/f/dark-side-of-ai--ai-hallucinations-a-python-code-analysis-tool

Preventing World Hunger and Food Waste with Deep Learning ANNs

https://ghostexmachina.com/f/why-ai-will-replace-coders-what-coders-can-do-about-it

Ode to a Prime Hunting Algorithm (via the Sieve of Eratosthenes)

https://ghostexmachina.com/f/boring-python-project---prime-number-sieve-of-eratosthenes

Thor's AI & Data Science Projects

Ensemble - Log Reg, SVM, KNN, SGD, Random Forest, Naive Bayes & Perceptron on Titanic Survivorship

https://ghostexmachina.com/f/data-science-demolition-derby---an-actual-ds-project-code

Sentiment Intensity Analysis and Linear Regression on Predicting Stock Prices (Real-Time with Flask)

https://ghostexmachina.com/f/money-is-always-a-problem-the-neural-networks-that-bank-on-it

MLP Regressor ANN on Predicting Income

https://ghostexmachina.com/f/artificial-intelligence---neural-network-to-predict-income

Creating a SDK with Poetry and Sphinx for Algorithm Selection

https://ghostexmachina.com/f/creating-a-sdk-software-development-kit-with-poetry-and-sphinx

RAG for Financial Decision-Making (in Python and Rust)

https://ghostexmachina.com/f/rag-for-financial-decision-making-in-python-rust-code

Optimizing a Bleeding Edge Gradient Boost Algorithm

https://ghostexmachina.com/f/perchance-a-bleeding-edge-gradient-boost-algorithm

Thor's 100+ Projects @ Ghost Ex Machina Blog below

Projects that can be found on the GXM Blog are:

Predicting and Preventing Gun Violence with Data Science

https://ghostexmachina.com/f/predicting-gun-violence-with

How to Build a Deep Belief Neural Network

https://ghostexmachina.com/f/how-to-build-an-artificial-neural-network-deep-belief-network

Predicting Black Swan Events in the Stock Market (with Random Forest Classifier on Extreme Values Theory)

https://ghostexmachina.com/f/predicting-black-swan-events-in-the-stock-market-with-python

Targeting Potential Customers with Marketing Ads with a Neural Network (w/ One-Hot Encoding Pipeline & Cross-Entropy)

https://ghostexmachina.com/f/targeting-potential-customers-with-marketing-ads

Feature Selection & the Learned Mask in the 21st Century & Beyond

https://ghostexmachina.com/f/feature-selection-binary-mask-layers-in-the-21st-century

What Makes a Poem Beautiful? (NLTK & Beyond)

https://ghostexmachina.com/f/random-forest-playing-moneyball-to-predict-injury-proneness

Gothic Literature Text/ Sentiment Analysis with NLTK

https://ghostexmachina.com/f/gothic-literature-text-sentiment-analysis-with-n

Dark Data - Latent Dirichlet Allocation / Named Entity Recognition

https://ghostexmachina.com/f/dark-data---latent-dirichlect-allocation-named-entity-recognize

Poisson-Based Neural Network to Find Viral Clusters' Patient Zero

https://ghostexmachina.com/f/to-thine-own-distribution---the-bigger-your-data

NeuroSymbolic AI - Neural Network Hybrid Model for MNIST Training

https://ghostexmachina.com/f/neurosymbolic-ai--hybrid-model-w-neural-network-reasoning-c

AI-ChatBot for Complex Business Decision-Making

https://ghostexmachina.com/f/ai-intelligent-chatbox-for-business-decision-making

Liquid Neural Nets' Adaptability for Predictions on Stock Flux

https://ghostexmachina.com/f/liquid-neural-nets

Random Forests & Feature Optimization to Predict Sport Injuries

https://ghostexmachina.com/f/random-forest-playing-moneyball-to-predict-injury-proneness

Water Quality with t-SNE, UMAP, PCA & LLE for EDA's Sake

https://ghostexmachina.com/f/water-quality-with-t-sne-umap-pca-lle

Prompt Engineering for Sushi Freshness & Polynomial Regression

https://ghostexmachina.com/f/no-bs-data-science-project---sushi-refreshness-regression