Why Every Data Scientist Needs A Data Engineer
This article was written by Lauren Brunk. The data scientist was deemed the “sexiest job of the 21st century.” The Harvard Business Review reasons that this “hybri...
Home » You searched for 2
Search Results for: 2
Introduction to Markov Chains
This article was written by Devin Soni. What are Markov chains, when to use them, and how they work Markov chains are a fairly common, and relatively simple, way to s...
How History Can Prepare Us for Upcoming AI Revolution or, What is the AI Equivalent to the ¼” Bolt?
Many predict, and warn, that the Artificial Intelligence (AI) Revolution will change the world – and possibly the very essence of mankind. But society-changing revolu...
Crossing the Big Data / Data Science Analytics Chasm
The key of any organization’s digital transformation is becoming more effective at leveraging data and analytics to power their business models. That is, how can organ...
Two More Math Problems: Continued Fractions, Nested Square Roots, Digits of Pi
These problems are for college undergrads after a first course in calculus. They are provided with solutions, and could be used by college professors as exercises or exam...
The Difference Between Managing Large and Small Data Science Teams
Summary: As advanced analytics and data science have matured into must-have skills, data science groups within large companies have themselves become much larger. Thi...
Harnessing Technology To Kill User Privacy
Privacy!! does it really exist in todays time, when technology allow to monitor even your personal movement in your dark bedroom through solid walls. Privacy – What is ...
Encoding fixed length high cardinality non-numeric columns for a ML algorithm
In this post, Encoding high cardinality text data for a ML algorithm, the author compares 4 ways to encode non-numerical tabular data. This skill is quite useful and nece...
Gradients support in PyTorch
In this article by Maxim Lapan, the author of Deep Reinforcement Learning Hands-On,we are going to discuss about gradients in PyTorch. Gradients support in tensors is o...
Using Topological Data Analysis to Understand the Behavior of Convolutional Neural Networks
TLDR: Neural Networks are powerful but complex and opaque tools. Using Topological Data Analysis, we can describe the functioning and learning of a convolutional neural n...