How to Become a Big Data Analyst

How to Become a Big Data Analyst

By definition, data and information are two very different things. Data is defined as “raw facts and statistics collected together for reference or analysis,” and those facts or statistics are sometimes collected randomly and without any organization...

George Seif

George Seif

The 5 Clustering Algorithms Data Scientists Need to Know Clustering is a Machine Learning technique that involves the grouping of data points. Given a set of data points, we can use a clustering algorithm to classify each data point into a specific g...

Generative Adversarial Network

Generative Adversarial Network

Automatic feature engineering using Generative Adversarial Networks Application to computer vision and synthetic financial transactions data The purpose of deep learning is to learn a representation of high dimensional and noisy data using a sequence...

Venkatesh Pappakrishnan, Ph.D.

Venkatesh Pappakrishnan, Ph.D.

How to write a production-level code in Data Science? Ability to write a production-level code is one of the sought-after skills for a data scientist role— either posted explicitly or not. For a software engineer turned data scientist this may not so...

Conclusion

Conclusion

Feature extraction and similar image search with OpenCV for newbies I think all of you saw Google Image Search and asked yourself “How it works?”, so today i will give you an answer on this question and we will build simple script for making image se...

James Le

James Le

A Tour of The Top 10 Algorithms for Machine Learning Newbies In machine learning, there’s something called the “No Free Lunch” theorem. In a nutshell, it states that no one algorithm works best for every problem, and it’s especially relevant for supe...

Mark Humphries

Mark Humphries

Your Cortex Contains 17 Billion Computers Neural networks of neural networks Brains receive input from the outside world, their neurons do something to that input, and create an output. That output may be a thought (I want curry for dinner); it may b...