Steganography

Machine Identification Code

A Machine Identification Code (MIC), also known as printer steganography, yellow dots, tracking dots or secret dots, is a digital watermark which certain color laser printers and copiers leave on every printed page, allowing identification of the device which was used to print a document and giving clues to the originator. Developed by Xerox and Canon in the mid-1980s, its existence became public only in 2004. In 2018, scientists developed privacy software to anonymize prints in order to support whistleblowers publishing their work. (Wikipedia).

Machine Identification Code
Video thumbnail

What Is System Identification? | System Identification, Part 1

Get an introduction to system identification that covers what it is and where it fits in the bigger picture. See how the combination of data-driven methods and physical intuition can improve the model with so-called grey-box methods. Watch the full series on System Identification: https:

From playlist System Identification

Video thumbnail

Math for Liberal Studies - Lecture 3.2.2 Detecting Errors

This is the second video for Math for Liberal Studies Section 3.2: Using Check Digits. In this lecture, we continue our study of the ID number system for U.S. Postal Service money orders. Specifically, we work through several examples using the system to (1) validate ID numbers, (2) create

From playlist Math for Liberal Studies Lectures

Video thumbnail

Image Recognition and Python Part 1

Sample code for this series: http://pythonprogramming.net/image-recognition-python/ There are many applications for image recognition. One of the largest that people are most familiar with would be facial recognition, which is the art of matching faces in pictures to identities. Image rec

From playlist Image Recognition

Video thumbnail

1. Unsigned Binary Numbers - How to Convert From Unsigned Binary Numbers to Whole Numbers

This tutorial shows how to convert from an unsigned binary number to a whole number. Join this channel to get access to perks: https://www.youtube.com/channel/UCn2SbZWi4yTkmPUj5wnbfoA/join :)

From playlist Binary Numbers

Video thumbnail

MATH3411 Problem 99

MATH3411 Information, Codes and Ciphers This problem presents digital signatures via the DSS scheme. We are asked to find a public key from a private key, to generate a digital signature, and to check the validity of a received signature. Presented by Thomas Britz, School of Mathematics

From playlist MATH3411 Information, Codes and Ciphers

Video thumbnail

Ex: Determine a Real, Imaginary, and Complex Number

This video explains how decide if a number is best described by the set of real, imaginary, or complex numbers. Library: http://mathispower4u.com Search: http://mathispower4u.wordpress.com

From playlist Performing Operations with Complex Numbers

Video thumbnail

DEFCON 13: DIRA: Automatic Detection, Identification, and Repair of Control-Hijacking Attacks

Speakers: Alexey Smirnov, Student, SUNY Stony Brook Tzi-cker Chiueh, Professor, SUNY, Stony Brook Buffer overflow attacks are known to be the most common type of attacks that allow attackers to hijack a remote system by sending a specially crafted packet to a vulnerable network applicat

From playlist DEFCON 13

Video thumbnail

How to use decimal points

👉 Learn all about decimals. Decimals are numbers written with a decimal point. Digits can be written to the right or to the left of the decimal point. Digits are written to the left of the decimal point increase in value by multiples of 10 while digits written to the right decrease by mul

From playlist Decimals | Learn About

Video thumbnail

State of the art natural language processing in healthcare webinar - John Snow Labs and Databricks

Install NLP Libraries https://www.johnsnowlabs.com/install/ Register for Healthcare NLP Summit 2023: https://www.nlpsummit.org/#register Watch all Webinars: https://www.johnsnowlabs.com/webinars/ Recent advances in natural language processing (#NLP) caused an explosion of practical u

From playlist AI & NLP Webinars

Video thumbnail

SDS 613: Causal Machine Learning — with Emre Kiciman

#CausalMachineLearning #CausalInference #DoWhyOpenSource Dr. Emre Kiciman, Senior Principal Researcher at Microsoft Research joins the podcast to share his world-leading knowledge on causal machine learning. This episode is brought to you by Datalore, https://datalore.online/SDS, the col

From playlist Super Data Science Podcast

Video thumbnail

Binary Numbers | Lecture 1 | Numerical Methods for Engineers

What are binary numbers? Why are some numbers inexact when represented on a computer? Join me on Coursera: https://www.coursera.org/learn/numerical-methods-engineers Lecture notes at http://www.math.ust.hk/~machas/numerical-methods-for-engineers.pdf Subscribe to my channel: http://www.y

From playlist Numerical Methods for Engineers

Video thumbnail

Accelerating clinical risk adjustment through NLP | Healthcare NLP Summit 2021

Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/ Watch all Healthcare NLP Summit 2021 sessions: https://www.nlpsummit.org/ Healthcare systems are increasingly looking

From playlist Healthcare NLP Summit 2021

Video thumbnail

Learn ML only from YouTube, in Feb 2022? Here are the Top3 videos!

Can I learn "feature attribution" for eXplainable AI / ML interpretability from YouTube videos? From the TOP 3 videos (Stanford, Google, Microsoft) YouTube presents to me on "feature attribution"? Explore an amazing answer! I watch all three videos in full length, read the accompanying pa

From playlist Explainable AI (XAI) and Decision Intelligence (DI). Performance on Vision.

Video thumbnail

O'Reilly Webcast: Anonymizing Health Data

How can health data be released to analysts and app developers who desperately want it? Under current legislation, the use and disclosure of health data for secondary purposes is limited—patients must either consent to have their data used, which is often difficult to get and can lead to b

From playlist O'Reilly Webcasts 3

Video thumbnail

Working with Synthetic Data | Deep Learning for Engineers, Part 2

This video covers the first step in deep learning: having access to data. Part of making the decision of whether deep learning is right for your project comes down to the type and amount of data that you have access to. We’ll cover the importance of data using the practical engineering ex

From playlist Deep Learning for Engineers

Video thumbnail

Wolfram Student Podcast Episode 9: Predicted Native Language of a Writer Based on a Sentence

In the final episode of Season 1 of the Wolfram Student Podcast, we feature Muskan Majahan and her project in determining a writer’s native language based on a sentence. Join us as we discuss key features of natural language processing and how writing style can be analyzed to predict someo

From playlist Wolfram Student Podcast

Video thumbnail

IT in Shops and Banks - Information Technology 82 - (1982)

Commissioned as part of the UK government initiative 'Information Technology 82'. This programme discusses the role computers will play in shops and banks in the UK. Presented by Tom Vernon and Griselda Cann. Digitised from VHS tape by the Centre for Computing History.

From playlist Information Technology 82

Video thumbnail

Parkinson’s Disease Detection Using Machine Learning | Machine Learning Projects 2022 | Simplilearn

In this video, we are going to cover how to implement a Parkinson's disease prediction system using Python. This video will help you in a complete understanding of how to implement a Parkinson's disease prediction system using different Python libraries. Parkinson’s Disease Detection Usin

From playlist 🔥Machine Learning | Machine Learning Tutorial For Beginners | Machine Learning Projects | Simplilearn | Updated Machine Learning Playlist 2023

Video thumbnail

Find-S Algorithm in Machine Learning | Machine Learning Algorithms | Edureka

** Machine Learning Certification Training: https://www.edureka.co/machine-learning-certification-training ** This Edureka video on 'Find-S Algorithm In Machine Learning' covers A brief introduction to Find-S Algorithm with a use case to implement It using python on a custom data. Followi

From playlist Data Science Training Videos

Related pages