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albahnsen – Data ScientistData Scientist
http://www.albahnsen.com/
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http://www.albahnsen.com/
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albahnsen – Data Scientist | albahnsen.com Reviews
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Talks – albahnsen – Chief Data Scientist
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Tutorial - Practical Machine Learning with Python. Pyconco, February 10, 2017, Bogota [Notebooks]. Pyconco, February 10, 2017, Bogota [Notebook]. Mexican Banking Association Summit, September 2, 2016, Mexico City. Big Data Summit, August 19, 2016, Lima, Peru. Advanced Fraud Detection using Data Science. Analytics Forum Universidad de los Andes, April 4, 2016, Bogota, Colombia. Example-Dependent Cost-Sensitive Fraud Detection using CostCla. Fraud Detection with Cost-Sensitive Predictive Analytics. Advance...
Software – albahnsen – Chief Data Scientist
http://albahnsen.com/software
Costcla is a Python module for cost-sensitive machine learning (classification) built on top of Scikit-Learn. And distributed under the 3-Clause BSD license. In particular, it provides:. A set of example-dependent cost-sensitive algorithms. Different reald-world example-dependent cost-sensitive datasets. The project is part of the PhD research of Alejandro Correa Bahnsen. Documentation is available at http:/ albahnsen.github.com/CostSensitiveClassification. Python Evolutionary Algorithms Library.
Blog – albahnsen – Chief Data Scientist
http://albahnsen.com/blog
5 Minutes with a Data Scientist: Alejandro Correa Bahnsen of Easy Solutions. Interview by James Powell from TDWI [Read more]. How to Use Isolation Forests for Anomaly Detection. Reprint Inside Big Data [Read more]. Benefits of Anomaly Detection Using Isolation Forests. The Technical Side of Phishing and How to Prevent It. Phishing, by definition, is the act of defrauding an online user and tricking them into clicking on a malicious link . [Read more]. Applying Data Science to Fraud Prevention. A recent r...
Publications – albahnsen – Chief Data Scientist
http://albahnsen.com/publications
Knowing your enemies: leveraging data analysis to expose phishing patterns against a major US financial institution. IEEE APWG Symposium on Electronic Crime Research (eCrime), 1-10, 2016, Toronto, Canada. [paper]. Phishing Classification using Lexical and Statistical Frequencies of URLs. Analytics Forum 2016, Universidad de los Andes, Bogota, Colombia. [abstract]. Feature Engineering Strategies for Credit Card Fraud Detection. Expert Systems with Applications, 51(1), 134-142, 2016 [paper]. IEEE Internati...
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Equity Splits at Stanford University - Slicing Pie
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Praise for Slicing Pie. Book Mike to Speak. Equity Splits at Stanford University. Here is a presentation I gave about perfectly fair equity splits at Stanford University:. Hi Mike, I really like your model but I was wondering how these constant equity changes will be legally recorded. Could you please expand on that or let me know where you’re covering that? After watching this video I’ve just started reading your book). Thanks. For Slicing Pie-friendly lawyers. The risk of joining a startup (not getting...
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albahnsen – Data Scientist
My name is Alejandro CORREA BAHNSEN. I'm passionate about Machine Learning and Data Science. I hold a PhD in Machine Learning. From Luxembourg University. I have many years of experience in the use and development of predictive models to real-world problems such as: Credit card fraud detection, credit scoring, collections, churn and direct marketing. Currently I'm working as Data Scientist. I consider myself a technology evangelist on data science. I Enjoy giving talks.
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