Data scientist with over 20-years experience in the tech industry, MAs in Predictive Analytics and
International Administration, co-author of Monetizing Machine Learning and VP of Data Science at SpringML.
From consulting in machine learning, healthcare modeling, 6 years on Wall Street in the financial industry, and 4 years at Microsoft, I feel like I’ve seen it all. And this has opened my eyes to the huge gap in educational material on applied data science. Like I say:
It just ain’t real 'til it reaches your customer’s plate
I am a startup advisor and available for speaking engagements with companies and schools on topics around building and motivating data science teams, and all things applied machine learning.
And I’ll show you how to easily extend those machine learning ideas from a standalone python script, into a fully automated pipeline
that doesn’t only end in an awesome, fully interactive web application, but doesn’t end at all. I’ll go over simple metrics (Google Analytics),
to get the feedback needed to iterate new versions and also reach back to your users and keep extending that relationship and making your
ML product better. We’ll even integrate simple monetization techniques to gauge if users are willing to covert into buyers using PayPal
donations and Stripe purchases!!!
So, don’t wait for magical inspiration or a partner in white shining armor to invite you - instead, start building today!!!
We'll work with real stock-market data to create a market forecasting web application using the powerful model XGBoost. Here is a screenshot of what you'll get
Forecast the stock market using real data and XGBoost!
Analyzing and Monetizing Prototypes
This is what this applicaiton is all about, quickly iterate through prototypes, check if anything sticks and move on if it doesn't. With this pipeline you can create
as many web application as you want without any financial risk. We'll use additional tools such as
PayPal to measure interest and conversion.
Thanks for reading! And please share this article with a friend or colleague or two :-)