We See in 3D – So Should Our CNN Models
Summary: Autonomous vehicles (AUVs) and many other systems that need to accurately perceive the world around them will be much better off when image classification move...
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Automation Eliminates Expensive Data Entry Errors
Organizations rarely regard data entry as a key strategic operation. In spite of the rise in automation, companies across the world rely on manual data entry for procurem...
Executive Mandate #1: Become Value Driven, Not Data Driven
I hate it when I hear senior executives state that they want to become data-driven, as if somehow having data is value in of itself. Now, one can hardly blame the unenl...
Artificial Neural Networks in a Nutshell
According to Wikipedia, an ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Each...
How to Create a Chatbot to Fit Your Needs and Budget
Chatbots are a hot topic. Conversational commerce and Artificial Intelligence are at the peak; if you haven’t already experimented with chatbots for your customer servi...
Designing Apparel with Neural Style Transfer
One of the things that excite the most about the predictive analytics of today is how quickly and bluntly it surpasses the existing benchmarks. Moreover, it penetrates th...
Fashion and Technology: How Deep Learning Can Create an Added Value in Retail
Today, more and more retail companies understand that to stay ahead of the curve, they need to reshape their businesses, implementing tech-forward approaches and solution...
AI Trading the Market
Written by Jun Wu. Every year since I worked on wall street, traditional trading-is-an-art-form traders are leaving and retiring. Their jobs are replaced by a new breed o...
The problem that Google Solved with Quantum Supremacy
The problem has to do with sampling, random numbers and probability distributions, so it is of interest to our community. As Scott Aaronson describes it in his blog, her...
The Math of Machine Learning – Berkeley University Textbook
This document is an attempt to provide a summary of the mathematical background needed for an introductory class in machine learning, which at UC Berkeley is known as CS ...