Choosing Data Models for Big Data
At a high level, a data model defines the structure and meaning of data in a system. This shapes how you represent concepts of interest or entities and their relationships to each other. It...
Alternative Data is the Key to Investor Success
Today’s hedge fund managers and analysts are increasingly shifting their gaze toward alternative data as a linchpin asset to drive investment decisions. In fact, seventy-eight percent of hedge funds are currently using or are...
Our Big Data Identities
We live in identity economics. Social media channels keep our digital selves keep streaming together. Given the influence of big data and surveillance capitalism upon our lives, Mark Zuckerberg suggested that there can be no...
Why Every Organization Needs a Data Analyst
There is so much hype around the data scientist role these days that when a company needs a specialist to get some insights from data, the first idea is to look for a data...
Guide to Using Free Alternative Datasets to find Trading Ideas
Alternative Datasets
Traditional metrics used when making investing decisions while broad, tend to come from the same set of data points: Financial metrics, Business Operations, Competitor Performance, etc. Alternative data extends the definition of data...
Hacking Disease and Death
To address urgent global challenges over the next fifteen years, the United Nations began implementing a transformative plan of action by releasing its 2030 Agenda for Sustainable Development. This plan is based on 17 specific...
When to Sell Stocks? – A Data Driven Approach
Who doesn’t want to get rich quick? If you’ve ever even dabbled in stock trade in the hopes of making quick money, you’ll know it’s no walk in the park. The stock market seems...
How Web Scraping and Data analysis can Help to Grow Your Business?
You’ve probably heard how data analysis is impacting our lives. It is much easier for Businesses and Enterprises to analyze their customers’ behaviors and market demands with valuable data in hands.
Wal-Mart, in order to...
Linear Discriminant Analysis in the Financial Market
When it comes to finance, every investor wants to make sure they are putting their money in the right places. The last thing they need is having one of their debtors or investments go...
Demystifying the Correlation Matrix
Correlation and the correlation matrix are two terms that you will often come across in statistics, probability theory or Machine Learning. The notations, formulae and numbers involved may seem overwhelming at first. But once...
Algorithms Are Not Inherently Biased, It’s A Result Of Expectations With Unintended Consequences
There have been plenty of criticisms about how tech companies use algorithms in their software that tends to favor their political ideology or biases. Companies like Twitter, Facebook and Google have been criticized for...
Top 10 Online Courses in Machine Learning and Data Science
The internet is now full of courses on Data Science and Machine Learning and it’s not surprising looking at the high prospects this field offers in terms of career. But it might be overwhelming...
Living Life on the Edge
Old Ideas Redesigned for Edge and Hybrid Computing
It’s a data grab out there! It feels like everyone in every industry is trying to generate, store and process more data. Despite the excess of privacy breaches...
The Seductive Business Logic of Algorithms
Certain machine behaviors never cease to amaze me. I’m astounded by their ability to learn from their accomplishments and from their interactions with we humans.
Unfortunately, many business managers still think of artificial intelligence (AI)...
Data Driven Trends & Statistics — Feb. 2019
While the easiest way to look for visual content is to just “google” them, it would be much more convenient if you can find the data at one place & that is exactly what...
Descriptive vs Inferential Statistics. What’s the difference?
Descriptive and Inferential Statistics are the two major branches of statistical analysis. By definition, descriptive statistics are used to summarize a sample or information about the sample. Inferential statistics, on the other hand, are...
