Photo by Markus Spiske on UnsplashIn previous article I walked through with you on how to build a real time object detection system using YOLOv5. In this article let’s build a web based text recognition system using Tesseract OCR, which is an open source optical character recognition engine for various operating systems.I am going to use Tesseract version 4.1. The default … [Read more...] about Build a Web based Text Recognition System
Machine Learning
Explain it to me like a 5-year-old: Beginners guide to Deep Learning & Neural Network
Artificial intelligence as the name suggests means providing intelligence to computers, similar to what humans possess. Consider AI as a big umbrella consisting of ANI (Artificial Narrow Intelligence) — goal-oriented and programmed for a single task, AGI (Artificial General Intelligence) — allowing the machine to behave in a manner that they are indistinguishable from humans … [Read more...] about Explain it to me like a 5-year-old: Beginners guide to Deep Learning & Neural Network
Profit or Information?
The Machine Learning Experimentation Tradeoff: A FrameworkIf you’re a company, you’re continually seeking how to gain more profit. If a company is seeking to expand or change their current business (in both big or small ways), a common solution is experimentation.Companies can experiment if a change works out or not; if a change does seem to be promising, they can incorporate … [Read more...] about Profit or Information?
A Couple of Notes to Share with You
I have some notes to share with you today. This post will be removed from my later to keep the blog site focused.First, I am going to start a data analysis project soon. I will acquire open-source data for this project and write a report. I may use Excel, R, and some data cleaning and visualization software. I recently launched a visualization blog on Tumblr at … [Read more...] about A Couple of Notes to Share with You
AI’s Biggest Failure
Test Proctoring services have an unhealthy reliance on AICredit: Adapted from GettyContrary to popular belief, Artificial Intelligence (AI) can’t fix everything. Sure AI has afforded breakthroughs in self-driving cars and healthcare, but it brings up the question of if there should be areas that AI should stay out of. If ever there was an area where AI should stay out of, it’s … [Read more...] about AI’s Biggest Failure
Camera Calibration
Now we can frame the projection problem (World Coordinates → Image Coordinates) asWorld coordinates → Camera coordinatesCamera coordinates → Image coordinateOworld [Xw,Yw,Zw] → Oimage [u,v]How? by using Linear Algebra!1. World coordinates → Camera coordinatesOcamera = [R|t] * Oworld2. Camera coordinates → Image coordinateOimage = K * Ocamera Remind me what K (camera intrinsic … [Read more...] about Camera Calibration
TIME SERIES ANALYSIS
Formal DefinitionA time series is a sequence of data points, measured typically at successive times, spaced at uniform time intervals. Now the period or the uniform time interval can be as large as a century if you collect geological data, can be as small as a second if you collect biological data, and can be a quarter if you consider economic data. The important issue is that … [Read more...] about TIME SERIES ANALYSIS
Basics: Gradient*Input as Explanation
A simple method for simple functions.In this post, I want to get to the basics of gradient-based explanations, how you can use them, and what they can or can’t do.Gradient*Input is a great way to explain differentiable machine learning models, such as neural networks, because it is conceptually simple and easy to implement. Computing gradients is also very fast, especially if … [Read more...] about Basics: Gradient*Input as Explanation
Why we use the least square method in regression analysis?
BackgroundSimple linear regression is fittingly simple. It is the first algorithm one comes across while venturing into the machine learning territory. However, its genesis lies in statistics. Practitioners later smuggled its applications to machine learning and several other spheres like business and economics as well. Anyone who has taken a first-year undergraduate course in … [Read more...] about Why we use the least square method in regression analysis?
What type of star is it? — on cAInvas
Identify the type of star using its characteristics and neural networks.Photo by Alex Kunchevsky for OUTLΛNE on DribbbleClassification of stars based on their characteristics is called stellar classification.Here we classify them into 6 classes — Brown Dwarf, Red Dwarf, White Dwarf, Main Sequence, Supergiant, Hypergiant.Implementation of the idea on cAInvas — here!On Kaggle by … [Read more...] about What type of star is it? — on cAInvas