Harnessing Machine Learning in Payments
Abstract – As I mentioned in my earlier blog post “Machine Learning in FinTech – Demystified” you will realise today in payments machine learning is one ...
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Here is How Big Data is changing the Oil Industry
In 2006, marketing commentator Michael Palmer had blogged, “Data is just like crude. It’s valuable, but if unrefined it cannot really be used.” After nine years, th...
Interesting Problem: Self-correcting Random Walks
Section 3 was added on October 11. Section 4 was added on October 19. A $2,000 award is offered to solve any of the open questions, click here for details. This is an...
DevOps Pipeline for a Machine Learning Project
Machine learning is getting more and more popular in applications and software products, from accounting to hot dog recognition apps. When you add machine learning techni...
Bridging the Skills Gap of New York City ~ A Case Study using Tableau and MySQL
Data Analytics remains incomplete without data visualization. In a Data Analytics course, I understood how Tableau was a useful tool so as to create and explain a visual ...
13,500 Nastygrams to Train Algorithms to Detect Undesirable Content
This article was written by Tom Simonite. The nonprofit behind Wikipedia is teaming up with Google to work on algorithmic discussion monitors. Misogyny, racism, profanit...
Data Science Simplified Part 3: Hypothesis Testing
Edward Teller, the famous Hungarian-American physicist, once quoted: “A fact is a simple statement that everyone believes. It is innocent, unless found guilty. A hypot...
Apache Spark Streaming
Introduction to Apache Spark Streaming A data stream is an unbounded sequence of data arriving continuously. Streaming divides continuously flowing input data into discre...
Behind the Flight Deal Scrapy Project
Step 0: Should I try to Scrape this? So you’re excited about a great idea, you’ve found a great site that looks easy to scrape, time to jump right in and star...
Understanding the Changing Position Roles in Data Science
Summary: Is everyone a ‘data scientist’? What about ‘data engineers’ and the junior versus senior, or skill level distinctions? We do seem to need some agre...